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Применение виртуальных сред для повышения качества подготовки специалистов в области ИКТ
Качество и жизнь. 2015. № 4. С. 79–83.
Azarov V., Fomin S. S.
Aspects of the use of virtual environments for the training of specialists in the field of Information-Communication Technology (ICT) are reviewed. The need to expand practical work when studying technical disciplines is justified. The definition of a virtual environment together with the content and types of virtual environment is developed. The architecture of virtual practice, requirements for the components of practice, the functional capabilities of modules for managing virtual environments for users and on-line lecturers are given. The influence of virtual practices on the quality of specialist training is discussed. The use of virtual practice for continuous training is considered.
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
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
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
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
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
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
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
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
Singapore: Springer Singapore, 2025.
Added: September 21, 2026
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
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
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
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
Springer, Cham, 2025.
Added: September 21, 2026
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
Springer, 2026.
Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
Боголюбов Е. А., Труды Института государства и права Российской академии наук 2025 Т. 20 № 6 С. 305–329
The modern challenges facing legal education actualize the appeal to historical experience. The Soviet past continues to have a significant impact on all aspects of legal training. This is most noticeable in the ratio of forms of education. So far, less than half of law students are studying full-time. The rest of the students study ...
Added: February 13, 2026
Andronova E., Online Learning Journal 2025 Vol. 29 No. 4 P. 467–488
Social interactions with peers and teachers significantly impact students’ subjective wellbeing (SWB), influencing their achievements, mental health, and motivation. Students who study online often lack these interactions, leading to lower SWB. However, studies show differences in the experience of social relationships within different contexts. Therefore, by examining the specific context of an online programme integrated ...
Added: October 21, 2025
Rishko Y., Boboshko D., Eliseeva E. et al., Sage Open 2025 No. 15(1)
Discussion of the effectiveness of distance learning as a means of delivering higher education programs at classical universities has been ongoing for the past decade. The article presents the findings of a study of changes in academic performance of university students, covering the period from fall 2018 to fall 2023. This period included a rapid ...
Added: May 16, 2025
Solomonova A., В кн.: Международный научный конгресс «Русский язык в странах СНГ: положение, функционирование, коммуникация» (1–3 ноября 2022 года) Сборник материалов, часть 1: "Русский язык в образовании стран СНГ"Ч. I: Русский язык в образовании стран СНГ.: М.: Государственный институт русского языка им. А.С. Пушкина, 2022. С. 121–124.
В статье рассматриваются современные тренды в российском образовательном пространстве, связанные с цифровизацией образовательной системы. Автор обращает внимание на проблемы, возникшие в процессе перехода на дистанционное обучение во время локдауна, а также особенности образовательной технологии эдьютейнмент. Приводится обзор цифровых ресурсов, которые могут быть использованы в практике преподавания, в частности изучения русского языка. ...
Added: October 30, 2024
Шангина О. В., Горбачёва И. М., Гершунин С. А. et al., Экономические и социально-гуманитарные исследования 2022 № 3(35) С. 174–185
The authors consider the factors affecting the quality of teaching / learning process in the period of active digital enablement of various sectors of life and industry. This work presents the results of an opinion survey of students’ psychoemotional state conducted at National Research University of Electronic Technology (MIET) in the spring and summer of ...
Added: October 23, 2024
Nefedova Y., Меди@льманах 2022 № 3(110) С. 66–74
В статье анализируются особенности дистанционного обучения студентов во время пандемии COVID-19. Подробно рассматривается процедура приема экзаменов в онлайн-формате. Представлены расчеты отклонения текущей успеваемости студентов от средних значений по ряду дисциплин, обозначаются факторы, повлиявшие на завышение и занижение оценок, предлагается список мероприятий, позволяющих повысить эффективность приема экзаменов в онлайн-формате ...
Added: September 27, 2024
Sytnik V., Вестник педагогических наук 2022 № 2 С. 156–159
В настоящее время в педагогике рассматривается понятие цифровой компетентности педагога как результат качественно нового, инновационного подхода к организации и осуществлению учебно-воспитательного процесса. Приобретение цифровой компетентности открывает перед учителем широкий спектр возможностей, обогащающих образовательную среду и позволяющих сделать образовательный процесс более динамичным. В статье определены критерии и уровни проявления цифровой компетентности, представлен опыт по формированию цифровой ...
Added: April 18, 2024