Дополнительное инженерное образование для информационного общества.

В. Н. Азаров; Ю. И. Гудков

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Дополнительное инженерное образование для информационного общества.

Дополнительное профессиональное образование в стране и мире. 2015. № 6-7. С. 11–14.

The article provides a comparative analysis of the content of educational standards for training bachelors in the field of information technology. The authors suggest ways to improve continuing "engineering" education in the field of information technologies and enhance the prestige of engineering specialties.

Research target: Education Computer Science

Priority areas: engineering science

Language: Russian

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Keywords: информационно-коммуникационные технологии сертификация certification information-communicative technologies федеральный образовательный стандарт

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

Вторая Всероссийская конференция медиапедагогов. Материалы конференции

Факультет журналистики МГУ им. М.В. Ломоносова, 2025.

В сборнике представлены материалы II Всероссийской научно-практической конференции медиапедагогов, проведенной 3-4 октября 2025 года факультетом журналистики МГУ имени М. В. Ломоносова. Авторы описывают актуальные медиаобразовательные практики, предлагают новейшие разработки в области медиаобразования, размышляют о различных аспектах обеспечения информационно-когнитивной безопасности детей, подростков и молодежи в условиях укрепления системы духовно-нравственных ценностей российского общества. ...

Added: September 22, 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

Specialized Image Descriptors Adaptation for Polyp Recognition over Endoscopic Images

Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060

This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...

Added: September 21, 2026

Lightweight Image Preprocessing Model for Improving Microorganism Detection in Microscopic Scenes

Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052

This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...

Added: September 21, 2026

Advancements in Signal, Image and Video Processing

Singapore: Springer Singapore, 2025.

Added: September 21, 2026

Interpretable Lazy Classification with Interval Pattern Structures and Local Interval Explanations

Tomat A., Sergei O. Kuznetsov, International Journal of Approximate Reasoning 2026 Vol. 197 Article 109754

Interval Pattern Structures (IPS) provide a natural way to represent local, human-readable explanations for predictions on numerical data through vectors of intervals interpreted as axis-parallel hyper-rectangles. In this paper, we develop and evaluate an IPS-based k-nearest neighbors classifier, IPS-KNN, that explains each prediction through a single local interval description rather than through the aggregation of ...

Added: September 21, 2026

IDAP++: Advancing Divergence-Based Pruning via Filter-Level and Layer-Level Optimization

Aleksei Samarin, Nazarenko A., Kotenko E. et al., / Series arXiv "math". 2025. No. 2511.20141.

This paper presents a novel approach to neural network compression that addresses redundancy at both the filter and architectural levels through a unified framework grounded in information flow analysis. Building on the concept of tensor flow divergence, which quantifies how information is transformed across network layers, we develop a two-stage optimization process. The first stage ...

Added: September 21, 2026

Modernized Nonlocal Blocks for Infrared Camera Image Segmentation of the Human Eye

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 169–178

This study explores the incorporation of specialized self-attention mechanisms into deep learning architectures, with a particular emphasis on segmenting human iris and pupil regions in infrared images. In this work, we present some modified versions of nonlocal blocks designed to enhance self-attentive properties while addressing the distinct characteristics of infrared imaging data. By applying these customized ...

Added: September 21, 2026

Non-Contrast Brain CT Images Segmentation Enhancement: Lightweight Pre-Processing Model for Ultra-Early Ischemic Lesion Recognition and Segmentation

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 10 Article 359

Timely identification and accurate delineation of ultra-early ischemic stroke lesions in non-contrast computed tomography (CT) scans of the human brain are of paramount importance for prompt medical intervention and improved patient outcomes. In this study, we propose a deep learning-driven methodology specifically designed for segmenting ultra-early ischemic regions, with a particular emphasis on both the ...

Added: September 21, 2026

Pattern Recognition. ICPR 2024 International Workshops and Challenges

Springer, Cham, 2025.

Added: September 21, 2026

Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 6 P. 1–20

This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometric characteristics of microorganisms, including cell shape, colony organization, and dynamic behavior in unfixed microscopic scenes. A key advantage ...

Added: September 21, 2026

Perovskite nanoparticles Cs4PbBr6 and CsPbBr3: synthesis, analysis and peculiar optical properties

Гущина В. А., / Series chemrxiv-2023-vpzhz-v2 "ChemRxiv". 2023.

All-inorganic perovskite CsPbBr3 and Cs4PbBr6 nanoparticles are being intensively studied due to their unique properties and wide range of applications; however, however, the nature of their optical properties is not yet fully understood due to the difficulty of synthesis of singlephase nanoparticles. In this article we describe the features of the synthesis of single-phase particles ...

Added: May 14, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026

Методика оценки вовлеченности в использование информационно-коммуникационных технологий

Tatarko A., Maklasova E., Lepshokova Z. et al., В кн.: Методики диагностики и программы исследования в социальной, политической и экономической психологии.: Институт психологии РАН, 2026. С. 876–903.

Цель данной работы состояла в разработке и апробации методики, позволяющей оценить степень вовлеченности в использование индивидом информационно-коммуникационных технологий в различных сферах жизни. В статье описаны этапы создания и валидизации авторской методики. Структура методики верифицировалась на выборке 859 респондентов. Валидность методики оценивалась на выборке, в которую вошел 171 респондент. В статье приводятся результаты эксплораторного факторного анализа, ...

Added: March 19, 2026

Фундаментальные основы применения технологического подхода в современном образовании в области безопасности жизнедеятельности в контексте его цифровизации

Абрамова С. В., Бояров Е. Н., Станкевич П. В. et al., В кн.: Современное образование в области безопасности жизнедеятельности: теория, методика, практика. Сборник материалов XXIX Всероссийской научно-практической конференции, Санкт-Петербург, 12 ноября 2025 года.: Каз.: ООО "Бук", 2025. С. 8–14.

В статье рассматриваются фундаментальные основы технологического подхода в образовании по безопасности жизнедеятельности в условиях цифровой трансформации. Проводится сравнительный анализ производственных и социальных (в том числе педагогических) технологий, подчеркивается специфика последних, обусловленная активной ролью обучающегося как объекта воздействия. Обосновывается эволюция понятий «информационные технологии» (ИТ) и «информационно-коммуникационные технологии» (ИКТ), их роль в модернизации образовательного процесса. Представлены многоаспектные ...

Added: December 9, 2025

Цифровое и доходное неравенство на межстрановом, национальном и субрегиональном уровнях

Dubrova T. A., Arkhipova M., Sirotin V., М.: Издательско-торговая корпорация «Дашков и Ко», 2025.

В монографии представлены результаты комплексного исследования цифрового и доходного неравенства и их роли в формировании простран-ственного неравенства в России и странах мира. В работе рассматриваются теоретико-методологические основы анализа цифрового и доходного неравен-ства, систематизируется опыт региональных исследований, а также предлага-ются индикаторы для количественной оценки уровней цифрового развития. Проведен межстрановой анализ уровня цифровой грамотности в пред-принимательстве, выделены институциональные ...

Added: November 7, 2025