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Subject
News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE)

IEEE, 2024.

The field of informatization, mechanism and technology, the effective means for processing, storage, search and presentation of information to the user is considered. Set of functional subsystems for collecting, inputting, processing, storing, searching and distributing information is considered.

Chapters
Usage of Markov Metric in Decoding of Convolutional Codes in Two-State Channels
Alina M. Veresova, Andrei A. Ovchinnikov, , in: 2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE).: IEEE, 2024. P. 1130–1134.
The article discusses the data transmission using convolutional codes over channels where the noise process can be described by a Markov chain with two states: a simple binary Markov channel and the Gilbert channel. Using the classical Viterbi algorithm with the Hamming metric for these channels does not guarantee low error probabilities. Additionally, the use ...
Added: May 14, 2025
Research target: Computer Science
Language: English
DOI
Keywords: communications
2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE)
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Inverse quickest path problem on networks under weighted l_\infty norm
Qian X., Guan X., Zhang B. et al., Journal of Global Optimization 2026
Inverse quickest path problem on networks ...
Added: September 27, 2026
Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
An early warning system for emerging markets
Kraevskiy A., Sokolovskiy E., Prokhorov A., Emerging Markets Review 2026 No. 74 P. 1–19
Financial markets of emerging economies are vulnerable to extreme and cascading information spillovers, surges, sudden stops and reversals. With this in mind, we develop a new online early warning system (EWS) to detect what is referred to as ‘concept drift’ in machine learning, as a ‘regime shift’ in economics and as a ‘change-point’ in statistics. ...
Added: September 25, 2026
Экспериментальное сравнение HTTP/2 и HTTP/3 в условиях программно моделируемой сетевой деградации
Дубич Е. В., Schagin D., Славянский форум 2026 № 2 (52) С. 560–565
The paper compares HTTP/2 and HTTP/3 for static resource transfer under software-simulated network degradation. The experiment shows that HTTP/3 is not universally faster, but it is more stable as latency and packet loss increase. ...
Added: September 25, 2026
Synthesis of Acyclic Models for Processes Without Repeating Events
Joulitov A.K., Lomazova I.A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4(2) P. 215–224
In process mining, DFG (Directly-Follows Graph) models are popular due to their simplicity and clarity. However, if a process is acyclic but contains concurrent events, standard algorithms for discovering DFG models can generate "fake" cycles that do not actually exist in the event log. These cycles hinder the analysis of information processes, significantly reducing the ...
Added: September 24, 2026
Анализ протокола выработки общего ключа для управления микросхемой интеллектуальной карты
Добрина Д. Н., Nesterenko A., Прикладная дискретная математика. Приложение 2026 № 19 С. 151–159
Работа содержит результаты формального анализа криптографических механизмов, входящих в состав проекта методических рекомендаций «Защищенный универсальный протокол передачи данных и управления микросхемой интеллектуальной карты» (протокол SECUNDA). Получена формальная модель и перечень трудноразрешимых математических задач, трудоёмкостью решения которых можно оценить стойкость используемых криптографических механизмов. ...
Added: September 24, 2026
Discovering object-centric Petri nets with parametric arcs
I.I. Sergeev, I.A. Lomazova, Modeling and Analysis of Information Systems 2026 Vol. 33 No. 3 P. 394–419
Object-centric process mining has emerged as a powerful paradigm for analyzing event data involving multiple interacting business objects. Existing discovery techniques often rely on object-centric Petri nets with fixed arc multiplicities, limiting their ability to represent parametric resource consumption and production patterns and to capture quantitative dependencies between interacting object types. In this paper, we ...
Added: September 24, 2026
Hybrid Graph Retrieval-Augmented Language Agents for Collaborative Recommendation
Ivan Bulychev, Savchenko A., AI 2026 Vol. 7 No. 9 Article 380
Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling beyond a few hundred users. We propose Hybrid-GraphRAG, a recommender system that integrates hierarchical agent ...
Added: September 24, 2026
Risks and the image of the future in the study of AI technologies prospects
Snegirev A., Sychev S., Futures 2026 Vol. 183 P. 1–22
This study addresses the systemic identification and categorization of risks associated with AI development, arising from tensions between technological evolution and institutional, infrastructural, and economic contexts. Drawing on a constructionist methodology, we interpret technological risks as constitutive elements of expert communities' images of the future. Through in-depth interviews with 100 AI experts, proportionally representing corporate, ...
Added: September 23, 2026
Choosing Between AI Responses: How Valence, Arousal, and Dominance Shape User Preference
Parshakov P., Paklina S., International Journal of Human-Computer Interaction 2026 P. 1–17
This study examines how emotional tone shapes user preference in human–large language model (LLM) interaction. Drawing on the Computers as Social Actors framework, we treat conversational AI as a social communicator whose affective cues influence user judgments. Using large-scale pairwise preference data from LMSYS Chatbot Arena, we model emotional tone through the Valence–Arousal–Dominance framework and ...
Added: September 23, 2026
A Two-Stage Deep Reinforcement Learning Framework for Radio Resource Management and Network Slicing in 5G Heterogeneous Networks
Andrabi U., Wadood E., Ojha S. K. et al., IEEE Access 2026 Vol. 14 P. 103358–103375
The emergence of 5G networks, aimed at accommodating diverse service requirements such as enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC), has presented significant challenges in radio resource management and network slicing. In dynamic heterogeneous network systems, traditional heuristics and mathematical programming methods find it challenging to attain scalable multi-objective ...
Added: September 23, 2026
LLM-assisted writing and citation advantage: evidence from scientific publications before and after ChatGPT release
Paklina S., Parshakov P., Elena Rapoport, Scientometrics 2026 P. 1–26
Generative artificial intelligence has become a routine part of academic writing. While much of the debate has focused on questions of integrity and authorship, less attention has been paid to how AI-assisted writing may affect research evaluation itself. This paper asks a straightforward but important question: does the use of LLMs in academic writing change ...
Added: September 23, 2026
Label-Free Quantification in the Crux Toolkit
Kertesz-Farkas A., Acquaye F. L., Journal of Proteome Research 2026 Vol. 25 P. 3764–3768
Ultimately, most tandem mass spectrometry (MS/MS) proteomics experiments aim to not just detect but also quantify the proteins in a given complex sample. Here, we describe an extension to the Crux MS/MS analysis toolkit to enable label-free quantification of peptides. We demonstrate that Crux’s new quantification command, which is modeled after the algorithms implemented in ...
Added: September 23, 2026
Risk Assessment Models for Heated Tobacco Products
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
A Model Based on Universal Filters for Image Color Correction
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Streptococci Recognition in Microscope Images Using Taxonomy-based Visual Features
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434
This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...
Added: September 21, 2026
Social Media and Digital Services - Business, Innovation, Sustainability
Geneva: UNESCO Chair University of Strasbourg / Centre Universitaire d’Informatique de l’Université de Genève, 2025.
This publication is the result of research presented at a conference jointly organized by the UNESCO Chair of the University of Strasbourg and the Center for Technologies (CUI) of the University of Geneva. Cette publication est le fruit de travaux de recherche présentés lors d'un colloque organisé conjointement par la Chaire UNESCO de l'Université de ...
Added: September 11, 2025
Шестнадцатые международные научные чтения в Москве «СМИ и массовые коммуникации–2024». ЦИФРОВЫЕ МЕДИАСИСТЕМЫ: ОСМЫСЛЯЯ ПРОШЛОЕ И ИССЛЕДУЯ БУДУЩЕЕ
[б.и.], 2024.
Конференция охватывает широкий спектр тем и вопросов для обсуждения: трансформация национальных медиасистем в XX-XXI вв., изменение роли журналистов в современном обществе, влияние глобальных тенденций на СМИ и журналистику и т.д. ...
Added: February 9, 2025
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Gaponova N., Gaponova O., В кн.: Эффективное управление: новые возможности и потенциальные угрозы.: М.: ООО «Российское общество социологов», 2024. С. 284–290.
The paper considers the issues of forming a new concept of communication in marketing – impression marketing, which has been developed within the framework of the impression economy. This concept is based on the assertion that the purchase of goods or services is accompanied by the creation of impressions from the acquisition process itself. Impression ...
Added: December 20, 2024
Deixis and Communication
Boris Uspenskij, Incontri Linguistici 2024 Vol. 47 No. 3 P. 99–123
Human communication consists in exchanging information between communicants. Communicants depart from their personal subjective perception of the objective reality, based on their individual understandings, impressions, and associations. Exchanging information means to realign such personal perceptions with each other. How can two speakers be certain that they understand the words in one and the same way? ...
Added: November 29, 2024
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Koryagina N. A., М.: Юрайт, 2024.
На сегодняшний день проблематика делового общения и взаимодействия выступает одной из основных тем теории и практики. Не секрет, что в рамках делового общения успех любого человека в подавляющем большинстве зависит от его коммуникативного умения, и лишь небольшая часть успеха связана с его узкой профессиональной подготовкой. Наша книга познакомит вас с речевыми конструкциями, которые отвечают за ...
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The authors have conducted several in-depth interviews with Russian reporters. The results show that new technologies have substantially changed many aspects of journalistic work: particularly the search for information and newsmakers, communications among colleagues, genres of media texts have transformed. Changes have not significantly affected the size and structure of editorial boards. The practice of ...
Added: January 31, 2024
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Chumakova M., Образовательная политика 2023 № 2(94) С. 56–65
Prevailing in the methodology of science and ideology, the initial orientation towards conflict as the basic model of the development of civilization and group interaction explicitly or implicitly generates oppositions, clashes in relationships. At the same time, there are many areas devoted to the study of the situation of confrontation between the parties and the ...
Added: December 28, 2023
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