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Диагностика тяжести симптомов депрессии при помощи объяснимого искусственного интеллекта
Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика). 2023. Т. 514. № 2. С. 242–249.
This paper represents our research to (i) propose an artificial intelligence, AI-based solution to identify depression and (ii) investigate our psychiatric knowledge. Concerning the first objective, we collected and annotated a new audio data set, and scrutinized the performance of eight regression approaches. Our studies showed that k-nearest neighbor and random forest form the group having the most acceptable results. Regarding our second objective, we determined the importance of the features of our best model using the SHapley Additive exPlanations approach: our findings showed that the fourth Mel-frequency cepstral coefficients, harmonic difference, and shimmer are the most important features.
Language:
Russian
Mylnikov L., Slivnitsin P., Engineering Applications of Artificial Intelligence 2026 Vol. 179 Article 115185
The paper describes a applied artificial intelligence task of recognition-by-components method of real objects based on the recognition of a limited set of primitives or components. The recognition-by-components makes it possible to determine the components, that compose an object, and increase the number of recognizable objects without degrading the recognition quality. Training is performed on ...
Added: May 29, 2026
Ван Г., Торопова А. В., Музыкальное искусство и образование 2025 Т. 13 № 4 С. 73–91
Contemporary vocal pedagogy faces a complex set of methodological challenges that encompass not only the search for ways to improve technical vocal skills for the realization of artistic vision, but also the development of self-control and self-regulation in future singers, as well as the entire creative process. A successful artist cannot function without the ability ...
Added: May 29, 2026
Kazantseva A. V., A.V. Toropova, Khusnutdinova E. K. et al., ВАВИЛОВСКИЙ ЖУРНАЛ ГЕНЕТИКИ И СЕЛЕКЦИИ, Федеральный исследовательский центр Институт цитологии и генетики Сибирского отделения Российской академии наук» (ИЦиГ СО РАН) (Новосибирск) 2025 Vol. 30 No. 3 P. 470–481
The development of musical abilities, including absolute pitch, musical memory, rhythm sense, and musicality, at a high degree is determined by a hereditary component (up to 68 %). The studies implementing a genome-wide linkage and association approach to musical aptitude have revealed more than 100 genetic loci. This spectrum is comprised of the genes encoding ...
Added: May 29, 2026
Vorchik A., Вопросы экономики 2026
This work is devoted to a theoretical explanation of the Easterlin paradox, according to which long-term economic growth does not make average level of people's happiness increasing. By happiness, we mean the intensity of emotions people experience while comparing their new income with its expected value, or the target income with its original value. In the first case, ...
Added: May 28, 2026
Mokienko O., Zisman M. A., Bobrov P. et al., American Journal of Physical Medicine and Rehabilitation 2026 Vol. 105 No. 6 P. 555–563
Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function ...
Added: May 28, 2026
Давидович А. С., Shestakova A., Arzumanyan N. et al., Frontiers in Psychology 2026 Vol. 17 - 2026 P. 1–18
Background:
Delay discounting refers to the tendency to choose sooner, smaller rewards over larger, later rewards. Many previous studies link this tendency positively to reward sensitivity, yet the specific mechanisms behind this association remain poorly understood. Reward sensitivity may relate to delay discounting through at least three possible pathways: increased sensitivity to reward size, increased sensitivity ...
Added: May 27, 2026
Kolachev N., Kovaleva G., Behavior Genetics 2026
Functional literacy—the ability to apply reading, mathematical, and scientific knowledge in authentic contexts as operationalized by the PISA framework—is a key predictor of educational attainment, labour-market outcomes, and economic growth. Despite extensive behavioral-genetic research on cognitive ability, the heritability of competency-based literacy measures remains largely unexamined, particularly outside Western populations. The present study addresses this ...
Added: May 26, 2026
Helen Selorm Wohoyie, Anikin V. A., Tomsk State University Journal of Philosophy, Sociology and Political Science 2026 Vol. 90 P. 204–211
Menstrual health serves as a critical litmus test for state intervention in contexts where women’s bodily experiences are historically shaped by stigma, cultural taboos, and structural violence. Drawing on Joseph Gusfield’s theory of social problems, this review traces the moral passage of menstruation in Ghana (1992–2025) from a privately managed, stigmatized phenomenon to a matter ...
Added: May 26, 2026
Dorri Sedeh S., Kosonogov V., Kerimova N. et al., Frontiers in Psychology 2026 Vol. 17 Article 1710257
Introduction:
As cities continue to grow, access to natural environments is becoming more limited, contributing to increased stress levels in urban populations. Panoramic 360° videos provide a creative and scalable means of simulating natural environments, potentially reducing stress in city residents under controlled settings. Here, we examined whether short immersive experiences in different urban environments support ...
Added: May 25, 2026
Kochetkova Ekaterina, Kostanian D., Martynova O. et al., Brain Topography 2026 Vol. 39 No. 4 Article 51
Letter recognition is assumed to involve several levels of analysis, including coarse tuning for category and novelty and more fine tuning for specific features, related to letter orientation. We employed an oddball fast periodic visual stimulation (FPVS) paradigm with magnetoencephalography (Elekta VectorView, 306 sensors) to study neural discrimination responses in the source space. Using contrasts ...
Added: May 24, 2026
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Kadieva D., Blagoveshchensky E., Agranovich O. et al., Frontiers in Psychology 2026 Vol. 17 Article 1832623
Embodied and embedded cognition (EEC) theory proposes that language and cognitive development emerge from bodily interactions with the environment, yet empirical tests of this claim in clinical developmental populations remain rare. This mini-review synthesizes behavioral, electrophysiological, and structural neuroimaging evidence from children with serious early motor disorders—obstetric brachial plexus palsy and arthrogryposis multiplex congenita—which restrict ...
Added: May 20, 2026
Кияненко И. К., Клиническая и специальная психология 2026 Т. 15 № 1 С. 7–19
Context and relevance. The problem of the impact of urban stress factors on mental health is becoming increasingly relevant in the context of urbanization. Living in cities is accompanied by increased psychophysiological stress, which leads to an increase in the prevalence of mental disorders among urban residents. Objective. The purpose of the article is to ...
Added: May 19, 2026
Goltseva Y., Tsokolaeva Z., Beloglazova I. et al., Stem Cell Research and Therapy 2026 Vol. 17 No. 1 Article 112
Background Cardiac fibrosis represents a significant health burden, with endothelial dysfunction and damaged
perivascular microenvironment increasingly recognized as key contributors to fibrotic remodeling. The urokinase
plasminogen activator receptor (uPAR), a critical component of the urokinase system, plays a pivotal role in vascular
remodeling and fibrosis. While prior evidence indicates that uPAR deficiency leads to microvascular dysfunction and
perivascular fibrosis, ...
Added: May 19, 2026
Alenina E., Kristina Terenteva, Kosonogov V., Behavioral Sciences 2026 Vol. 16 No. 5 Article 806
Anxiety is a multidimensional construct that influences cognitive performance in complex ways, yet its factor structure and domain-specific effects remain unclear. This study examined (1) the psychometric structure of general and specific anxiety measures, (2) their associations with cognitive performance across different domains, and (3) the predictive power of machine learning models in classifying cognitive ...
Added: May 18, 2026
Андреева О. С., Росмэн-Пресс, 2026.
«Деньги. Энциклопедия российского школьника» кратко и емко расскажет:
· Чем в древности платили за товары
· Как выглядели первые деньги, из чего их делали и где хранили
· Как найти клад и можно ли выиграть в лотерею
· Как работает банк
· Как дети и подростки могут зарабатывать и распоряжаться личным бюджетом
· И еще сотни интересных научно-обоснованных фактов
Книга поможет мальчикам ...
Added: May 18, 2026
Андреева О. С., Просвещение, 2024.
В книге собраны рекомендации и практические советы приёмным родителям, с помощью которых можно сформировать у детей правильное отношение к денежным средствам, рассказывается, какими словами объяснять понятные взрослым истины относительно личных и семейных финансов ребёнку любого возраста. Одной из задач книги стала необходимость объяснения этого феномена — потребительского отношения приёмных детей к труду замещающих родителей, к ...
Added: May 18, 2026
Bobrova A., Poddiakov A., Aksiotis V., Вопросы психологии 2025 Т. 71 № 4 С. 96–106
In psychology, people's assessment of conditional statements "if--then", agreement and disagreement with them is actively studied. This assessment of people who are not specialists in the field of logic often differs greatly from its requirements, especially if the reality observed by a person to one degree or another contradicts a formally correct logical conclusion. In ...
Added: May 17, 2026
Федоров Н. С., Финансовый журнал 2025 Т. 17 № 6 С. 99–112
The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on ...
Added: May 15, 2026
Федоров Н. С., Финансы и бизнес 2025 Т. 21 № 3 С. 34–50
Currently, the role of artificial intelligence is increasingly playing a significant role in various fields, including the increasing role of machine learning in finance. On the other hand, company valuation remains an important part of research due to its difficulty in correctly predicting the accuracy of target stock prices. This study provides an analysis of ...
Added: May 15, 2026
М.: Экономический факультет МГУ им. М.В. Ломоносова, 2026.
В сборнике приводятся тексты лучших докладов участников Международной ежегодной научной конференции «Ломоносовские чтения-2025» (секция экономи ческих наук) «Настоящее и будущее социально-экономического развития: потен циал ИИ и новые вызовы», состоявшейся 9–11 апреля 2025 г. на экономическом факультете МГУ имени М. В. Ломоносова. Материалы сгруппированы по тематическим направлениям. ...
Added: May 12, 2026
Avdoshin S. M., Pesotskaya E. Y., Информационные технологии 2026 Т. 32 № 4 С. 185–194
With the rapid advancement of artificial intelligence, and deep learning in particular, models have emerged that are capable of delivering highly accurate predictions. However, the internal logic of such models remains difficult to interpret—an issue of critical importance, especially in domains where the correctness of an algorithm directly affects high-stakes decision-making. One promising avenue for ...
Added: May 8, 2026
Avdoshin S. M., Pesotskaya E. Y., Business Informatics 2026 Vol. 20 No. 1 P. 7–28
The rapid development of artificial intelligence (AI) is accompanied by increasing computational
complexity and decreasing model transparency, which significantly limits its adoption in critical
domains that require a high level of trust, interpretability, and justification of decisions. Under these
conditions, the field of Explainable Artificial Intelligence (XAI) has gained particular importance as it
focuses on approaches and technologies that ...
Added: May 8, 2026
Sosnin E. I., Vasil’ev Y. L., R.A. Solovyev et al., Computer Optics 2025 Vol. 49 No. 6 P. 1129–1137
In this article, we present a new unique dataset for dental research – AlphaDent. This dataset is based on the DSLR camera photographs of the teeth of 295 patients and contains over 1200 images. The dataset is labeled for solving the instance segmentation problem and is divided into 9 classes. The article provides a detailed ...
Added: May 4, 2026