Separate Blocks Research Articles

Is there a lower visual field advantage for object affordances? A registered report.

It's been repeatedly shown that pictures of graspable objects can facilitate visual processing, even in the absence of reach-to-grasp actions, an effect often attributed to the concept of affordances. A classic demonstration of this is the handle compatibility effect, characterised by faster reaction times when the orientation of a graspable object's handle is compatible with the hand used to respond, even when the handle orientation is task-irrelevant. Nevertheless, it is debated whether the speeded reaction times are a result of affordances or spatial compatibility. First, we investigated whether we could replicate the handle compatibility effect while controlling for spatial compatibility. Participants (N = 68) responded with left or right-handed keypresses to whether the object was upright or inverted and, in separate blocks, whether the object was red or green. We failed to replicate the handle compatibility effect, with no significant difference between compatible and incompatible conditions, in both tasks. Second, we investigated whether there is a lower visual field (VF) advantage for the handle compatibility effect in line with what has been found for hand actions. A further 68 participants responded to object orientation presented either in the upper or lower VF. A significant handle compatibility effect was observed in the lower VF, but not the upper VF. This suggests that there is a lower VF advantage for affordances, possibly as the lower VF is where our actions most frequently occur. However, future studies should explore the impact of eye movements on the handle compatibility effect and tool affordances.

RESEARCH OF FORMATIONS INJECTIVITY IN ORDER TO ORGANIZE RESERVOIR PRESSURE MAINTENANCE IN THE CARBONATE FIELDS

In this item, the top-priority is organization of reservoir pressure maintenance system and fields development under natural mode in order to maintain reservoir pressure in carbonate fields. Currently, the fields are being developed in a natural drive, and arranging a system for maintaining reservoir pressure is a top-priority. Carbonate fields are complicated by tectonic faults in the separate blocks and HC production reveals disturbance of the balance in the geological environment. Longtime fluid sampling without reservoir pressure maintenance leads to change of stress fields in formation, which initiates creation of deformations of earth surface. In order to prevent from these events, it is required to maintain reservoir pressure. It is necessary to maintain reservoir pressure to prevent these events from happening. When water is injected, migration occurs through a complex ramified system of cracks, caverns and pore channels. The most permeable in the productive thickness layer are karst intervals and zones of increased fracturing, which serve as the main routes for fluid migration. Considering complication of RPM system organization due to high wellhead pressure, field distance from water sources and possible creation of cavity and carst, conception of carbonate fields development is developed within the frame of item.

Efficient crowd density estimation with edge intelligence via structural reparameterization and knowledge transfer

Crowd stampedes and related incidents pose significant dangers to public safety and have resulted in numerous fatalities over the past few decades. Estimating crowd density in real-time can help avoid stampedes by providing early warning systems to prevent overcrowding and manage the flow of people. With the increasing prevalence of Internet of Things (IoT), the application of edge computing for field pedestrian density estimation can help to enhance security and efficiency of system. To deal with the issue of crowd scale variation, most previous works rely on heavy backbone networks or complex module, which require high runtime consumption and severely limits the deployment scope of their work. To overcome this issue, we propose multi-branch model Repmobilenet. For multi-scale spatial feature extraction. Repmobilenet equips with lightweight multi-branch depthwise separable convolutional block (DSBlock), which can effectively extract multi-scale feature of dense crowd to cope with scale variation. In the inference phase, the multi-branch structure can be transformed into a single-branch feed-forward structure through structural reparameterization. By this way, Repmobilenet can use multi-branch over-parameterized topology to capture more dense spatial features during training stage and decrease inference latency during inference stage. We also added dilated convolutions in the backend to expand the receptive field of the model. Comparison to state-of-the-art methods, proposed Repmobilenet is able to achieve comparable counting performance while maintaining small model size and low inference latency in ShanghaiTech benchmark. At last, we introduce a multi-layer knowledge distillation method to further increase the model’s fitting capability. By imitating the feature of multiple intermediate layers and final output soft ground truth of the teacher model, the student model can learn compact and efficient knowledge without increasing model size and inference latency. The code can be found in https://github.com/lcxxxiii/Repmobilenet.

“Love Science not in Yourself Alone”: Review of the XXI International Scientific Conference “Onomastics of the Volga Region”

The article describes the scope of onomastic research outlined at the XXI International Scientific Conference “Onomastics of the Volga Region”, which took place on October 3-5, 2023 at Ryazan State University named after S.A. Yesenin. At plenary and panel sessions, reports were heard and discussed on the theoretical and methodological aspects of onomastics, modern problems of anthroponymy and ethnonymy, toponymy and microtoponymy; the study of urban onomastic space, literary and folklore onomastics, as well as onomastic periphery (studies of zoonyms, theonyms and onomastic units of other categories). For the first time, separate thematic blocks were composed of reports examining the possibilities of using onomastic material (in particular, local history) at school and university, as well as the peculiarities of the functioning of onyms as parts of proverbs. As a result of the conference, priority areas of onomastics of the 21st century were revealed, controversial issues and research prospects were identified.

Time for What? Dissociating Explicit Timing Tasks through Electrophysiological Signatures.

Estimating durations between hundreds of milliseconds and seconds is essential for several daily tasks. Explicit timing tasks, which require participants to estimate durations to make a comparison (time for perception) or to reproduce them (time for action), are often used to investigate psychological and neural timing mechanisms. Recent studies have proposed that mechanisms may depend on specific task requirements. In this study, we conducted electroencephalogram (EEG) recordings on human participants as they estimated intervals in different task contexts to investigate the extent to which timing mechanisms depend on the nature of the task. We compared the neural processing of identical visual reference stimuli in two different tasks, in which stimulus durations were either perceptually compared or motorically reproduced in separate experimental blocks. Using multivariate pattern analyses, we could successfully decode the duration and the task of reference stimuli. We found evidence for both overlapping timing mechanisms across tasks as well as recruitment of task-dependent processes for comparing intervals for different purposes. Our findings suggest both core and specialized timing functions are recruited to support explicit timing tasks.

Stimulus variability improves generalization following response inhibition training.

The present study examined the effect of stimulus variability and practice order on generalization to novel stimuli following a single session of response inhibition training. Ninety-six young adults practiced the Go/No-go task online in three training conditions: (1) constant (N = 32)-inhibition practiced on one stimulus; (2) variable-blocked (N = 32)-inhibition practiced on 6 stimuli, each in a separate block; and (3) variable-random (N = 32)-inhibition practiced on 6 stimuli in random order. Generalization was measured by comparing groups on inhibition of novel stimuli and a trained stimulus immediately and 24h after training. Consistent with our hypothesis, the variable-random and the variable-blocked groups showed better generalization to the novel items than the constant group, demonstrating the benefit of stimulus variability. The variable-random group also showed better generalization than the variable-blocked group, demonstrating the benefit of presenting stimuli in random order. Participants' capacity for working memory maintenance was found to modulate the effect of practice order. While the benefit of variability was retained 24h after training, the effect of order was not. Results also show generalization to (1) different type of stimuli using the same task and (2) the same stimuli on a different response inhibition task (the Stop-Signal Task), however, the effect of variable practice and order were not evident in these cases. The study findings illustrate the advantage of using variable stimuli presented in random order for generalization and suggest that these principles of motor learning can be applied to learning of cognitive skills.

Heart rate response to cognitive load as a marker of depression and increased anxiety.

Understanding the interplay between cardiovascular parameters, cognitive stress induced by increasing load, and mental well-being is vital for the development of integrated health strategies today. By monitoring physiological signals like electrocardiogram (ECG) and photoplethysmogram (PPG) in real time, researchers can discover how cognitive tasks influence both cardiovascular and mental health. Cardiac biomarkers resulting from cognitive strain act as indicators of autonomic nervous system function, potentially reflecting conditions related to heart and mental health, including depression and anxiety. The purpose of this study is to investigate how cognitive load affects ECG and PPG measurements and whether these can signal early cardiovascular changes during depression and anxiety disorders. Ninety participants aged 18 to 45 years, ranging from symptom-free individuals to those with diverse psychological conditions, were assessed using psychological questionnaires and anamnesis. ECG and PPG monitoring were conducted as volunteers engaged in a cognitive 1-back task consisting of two separate blocks, each with six progressively challenging levels. The participants' responses were analyzed to correlate physiological and psychological data with cognitive stressors and outcomes. The study confirmed a notable interdependence between anxiety and depression, and cardiovascular responses. Task accuracy decreased with increased task difficulty. A strong relationship between PPG-measured heart rate and markers of depression and trait anxiety was observed. Increasing task difficulty corresponded to an increase in heart rate, linked with elevated levels of depression and trait anxiety. A strong relationship between ECG-measured heart rate and anxiety attacks was observed. Increasing task difficulty corresponded to an increase in heart rate, linked with elevated levels of anxiety attacks, although this association decreased under more challenging conditions. The findings underscore the predictive importance of ECG and PPG heart rate parameters in mental health assessment, particularly depression and anxiety under cognitive stress induced by increasing load. We discuss mechanisms of sympathetic activation explaining these differences. Our research outcomes have implications for clinical assessments and wearable device algorithms for more precise, personalized mental health diagnostics.

Мировая торговля в условиях кризиса глобализации

The article focuses on the analysis of factors that slow down the growth of international trade at the current stage of globalization. The latter is experiencing a crisis, but objective data do not indicate the end of globalization, but rather its slowdown following rapid growth. In its development, globalization overcomes many obstacles and faces various risks. At present, the threat of fragmentation of the world economy has become especially relevant. The factors causing the slowdown in the growth of globalization and world trade, for the most part, do not threaten the integrity of the world economy. The spread of regional trade agreements also does not negate the long-term efforts of the WTO aimed at trade liberalization, and in itself does not lead to the division of the world economy into separate blocks. Currently, the probability of the risk of fragmentation of the global economy is associated primarily with the geopolitical crisis. It is generally recognized that political confrontation, accompanied by restrictive measures regarding trade, brings economic losses to its participants. It can be assumed that ultimately objective economic laws will prevail and the scenario of the collapse of the global economy will not be realized. However, the high degree of uncertainty inherent in the political sphere does not allow us to confidently judge the prospects for an exacerbation or, on the contrary, mitigation of the crisis situation, and therefore the depth and duration of the impact of the political factor on economic policy and trade. After a pause, during which integration processes will unfold primarily at the level of world regions, globalization will resume its growth. Its pace will depend on a number of factors: normalization of the international political situation, overcoming trade contradictions, strengthening the system of global governance, dissemination of the principles of sustainable and responsible development, and many others. Development will acquire a more measured character, and the openness of economies and their interdependence will increase. In the long term, the main trends in the development of world trade that are currently observed will continue: a decrease in the share of goods and an increase in the share of services, an increase in the role of developing countries in trade in goods and developed countries in trade in services. The growth rates of world trade and GDP will remain at a relatively low level, while trade will grow somewhat faster than production. In the future, factors related to digitalization, robotics, artificial intelligence, additive technologies and climate change will become more noticeable. They will lead to shifts in the product structure of trade and the directions of the main commodity flows, but will not stop globalization, but will give it new features and directions of development.

СТРУКТУРНО-ПЛОТНОСТНАЯ МОДЕЛЬ ЗЕМНОЙ КОРЫ ЗАПАДНОГО ШЕЛЬФА О-ВА САХАЛИН И ЕЕ ГЕОЛОГИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ

Structural and density modeling of the Earth's crust carried out using a deep seismic sounding profile previously tested along the western shelf of Sakhalin Island offered a clearer view of the layered block structure of the main tectonic faults and their newtwork within the crust of the region, where a large number of strong crustal earthquakes are concentrated. The density structures of the resulting model were compared with geological data on the adjacent territory of Sakhalin Island. Our structural and density model made it possible to separate volcanic blocks and blocks of sialic crust and to trace the submerged prolongation of the largest geological complexes of the western edge of Sakhalin Island on the shelf. There are signs of spatial correlation between seismic events and some tectonic faults.

ЛЕКСИЧЕСКАЯ СИНОНИМИЯ В СИТУАЦИЯХ ЮРИДИЧЕСКОГО ДИСКУРСА С ПОЗИЦИЙ ЛИНГВИСТИЧЕСКОЙ СИНЕРГИИ

The article dwells on lexical synonyms in the situations of legal discourse. The research is based on the idea of selforganization of complex open systems. Legal discourse as an open nonlinear system, author’s intentions as an attractor in a separate communicative block, general and special factors stabilizing the system of discourse are considered. The author’s attention is mainly focused on semantic variants in the statement/text as one of the linguistic means used by the actor to achieve the goals in a specific communicative situation (indictment, prosecutor’s closing argument, outline). The conclusion is made about the functionality of semantic variants in the process of transferring the intention.

The Main Stages of the Development of the Russian Anti-Corruption Legislation

The article examines the main stages of the development of the Russian anti-corruption legislation, which in a relatively short time has overcome the path in its development from a rather disparate legal array to a separate legislative block united by a single subject and purpose of legal regulation. Seven stages of the development of domestic anti-corruption legislation from 1991 to the present have been identified, each of which has its own characteristics due to the dynamics of public relations and the political will that determines the main directions of the state anti-corruption policy. The authors conclude that initially the task of combating corruption was of subordinate importance and was considered exclusively in the context of suppressing corrupt ties of organized crime. The adoption of the basic Federal law “On Combating Corruption” has become a kind of foundation for the formation of a set of special legislative and subordinate regulatory legal acts around it, dedicated to certain areas of the state anti-corruption policy. The authors consider the consolidation of anticorruption standards at the constitutional level to be a logical continuation of the development of anticorruption legislation, which gave rise to a wave of updating and consolidating anti-corruption regulation, up to subordination to the goals of combating corruption of financial, legal and information-legal tools. Further disclosure of the potential of anti-corruption legislation is associated with the increased use of both legal and religious, ethical regulators, including the introduction of the institution of shame, as well as social engineering and cybernetics to ensure comprehensive control over established norms of behavior.

Improved U-net network asphalt pavement crack detection method.

Road crack detection is one of the important parts of road safety detection. Aiming at the problems such as weak segmentation effect of basic U-Net on pavement crack, insufficient precision of crack contour segmentation, difficult to identify narrow crack and low segmentation accuracy, this paper proposes an improved U-net network pavement crack segmentation method. VGG16 and Up_Conv (Upsampling Convolution) modules are introduced as backbone network and feature enhancement network respectively, and the more abstract features in the image are extracted by using the Block depth separable convolution blocks, and the multi-scale features are captured and enhanced by higher level semantic information to improve the recognition accuracy of narrow cracks in the road surface. The improved network embedded the Ca(Channel Attention) attention mechanism in U-net's jump connection to enhance the crack portion to suppress background noise. At the same time, DG_Conv(Depthwise GSConv Convolution) module and UnetUp(Unet Upsampling) module are added in the decoding part to extract richer features through more convolutional layers in the network, so that the model pays more attention to the detailed part of the crack, so the segmentation accuracy can be improved. In order to verify the model's ability to detect cracks in complex backgrounds, experiments were carried out on CFD and Deepcrack datasets. The experimental results show that compared with the traditional U-net network F1-score and mIoU have increased by 13.6% and 9.9% respectively. Superior to advanced models such as U-net, Segnet and Linknet in accuracy and generalization ability, the improved model provides a new method for asphalt pavement crack detection. The model is more conducive to practical application and ground deployment, and can be applied in road maintenance projects.

Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces.

Motor imagery, one of the main brain-computer interface (BCI) paradigms, has been extensively utilized in numerous BCI applications, such as the interaction between disabled people and external devices. Precise decoding, one of the most significant aspects of realizing efficient and stable interaction, has received a great deal of intensive research. However, the current decoding methods based on deep learning are still dominated by single-scale serial convolution, which leads to insufficient extraction of abundant information from motor imagery signals. To overcome such challenges, we propose a new end-to-end convolutional neural network based on multiscale spatial-temporal feature fusion (MSTFNet) for EEG classification of motor imagery. The architecture of MSTFNet consists of four distinct modules: feature enhancement module, multiscale temporal feature extraction module, spatial feature extraction module and feature fusion module, with the latter being further divided into the depthwise separable convolution block and efficient channel attention block. Moreover, we implement a straightforward yet potent data augmentation strategy to bolster the performance of MSTFNet significantly. To validate the performance of MSTFNet, we conduct cross-session experiments and leave-one-subject-out experiments. The cross-session experiment is conducted across two public datasets and one laboratory dataset. On the public datasets of BCI Competition IV 2a and BCI Competition IV 2b, MSTFNet achieves classification accuracies of 83.62% and 89.26%, respectively. On the laboratory dataset, MSTFNet achieves 86.68% classification accuracy. Besides, the leave-one-subject-out experiment is performed on the BCI Competition IV 2a dataset, and MSTFNet achieves 66.31% classification accuracy. These experimental results outperform several state-of-the-art methodologies, indicate the proposed MSTFNet's robust capability in decoding EEG signals associated with motor imagery.

Ultrasound-guided Brachial Plexus Block as a Sole Anaesthetic Technique in a Child for Fixation of Humerus Fracture: A Case Report

Managing supracondylar fractures provides distinct problems in the complex setting of paediatric trauma. A 36-month-old male child was admitted with accidental injury and supracondylar fracture of left humerus. There were no other injuries. The child was planned open reduction and internal fixation in the right lateral position. The plan was to administer nerve block. To satisfactorily transfer the baby, the authors administered 5 mg of oral diazepam to the mother after explanation. The patient was smoothly transferred inside with syrup promethazine 5 mL. After securing an intravenous access, and an intravenous pethidine of 10 mg, he was administered ultrasound guided brachial plexus block with a supraclavicular approach with 5 mL of 0.5% bupivacaine. The pain subsided and the patient slept well. The surgery and the postoperative period were uneventful. The authors concluded that sedating the mother prior will help in separation and nerve blocks can be administered in children in precise sites with the help of ultrasound but without supplemental general anaesthesia. This report is the first case report to do without the use of any intravenous anaesthetic drugs.

Семантика исторической карты. Вопросы построения и использования условных обозначений для исторических карт

This article is devoted to the methodological and editorial issues of the formation and use of conventional signs when carrying out historical and cartographic work. It indicates the relevance of historical cartographic semantics, which usually does not receive proper reflection in works on the methodology for preparing historical maps. The author formulates the basic requirements for graphical means of the historical map in relation to their syntax, semantic compliance and general readability; provides the methodological basis for constructing and using symbols. Attention is paid to the structure of historical semantics and its individual blocks. A separate block of the article is devoted to the classification of signs and their areas of application. A description of the symbol resources is given. Sources of replenishment of symbols and mechanisms for the formation of new symbols are given. For each geometric type of symbol, an analysis of the various situations in which it can be used is presented; examples are given that reveal the informational and methodological potential of various techniques for using conventional signs. The article clarifies the concept of a reference base of symbols, which is a set of all available signs, grouped by thematic headings. The methodological provisions of the article are based on the practice of general and thematic mapping, as well as on the author’s personal profes- sional experience. The article is supplemented with examples of the thematic legends design, which can be used as a guide for the further accumulation of a reference base of symbols or for direct use when working with historical maps.

Informative, Ideological and Didactic Role of the Occupation Press in Accustoming Ukrainians to Life Under the New Order (Based on the Material of Local Periodicals of the Sumy Region in 1942–1943)

The Ukrainian present is focusing researchers’ attention on military topics. Interest in the study of the Second World War has especially increased, which gives reason to say that this period has been reactualized in national historical studies. The comprehension of the economic life in the context of the current hard times has encouraged the authoress of the submitted article to look at the studied problems through the lens of the past. In particular, the work is aimed at the searching and studying a collection of local magazines published during the German occupation in one of the regions. First of all, the task is to monitor information in propaganda periodicals related directly or indirectly to the economic system of the occupied territories. As a result of scientific research and analysis, the materials have been selected according to their form and content and grouped into four separate blocks. The first one includes administrative materials typical for the occupation press, through which the Hitler regime has regulated various spheres of economic activity of Ukrainians. The second block is formed with the published works covering the current situation in many sectors of the economy in a propaganda style, calling for compliance with a particular model of economic behavior. The third block contains articles by specialized experts who give practical advice to the public on how to run a personal peasant household. The fourth block includes actually short motivational texts used to direct the local population to live under the new order. Grouping the materials in this way and studying their content, among other things, have allowed us to trace how local newspapers performed several functions simultaneously during the German occupation: informative, ideological, and didactic. It is found that these media have covered a rather wide range of the Ukrainian economic system, but because of their ideological nature, the interpretation of the relevant content should a priori take into account the context of the social and political life of the time.

Anomaly detection method based on temporal spatial information enhancement

The proposed Anomaly Detection Method Based on Temporal Spatial Information Enhancement addresses the limitations of unsupervised techniques in detecting abnormal events beyond boundaries and limited samples. It incorporates a Serial Depth Separable Residual Block (Serial Block) as the backbone for predicting future frame. Additionally, a DenseReserve Subsample Module (DRSM) facilitates feature scale scaling, and a U-shaped Pyramid Attention Module (UPAM) guides feature fusion and enhances spatial details. During the prediction stage, reconstructed optical flow information aids in distinguishing abnormal and normal event features, with the abnormal score determined by a weighted fusion of optical flow reconstruction error and prediction error for future frames. Experimental results demonstrate the method’s outstanding performance, achieving area under the curve metrics of 99.7%, 92.1%, and 78.3% on UCSD Ped2, CUHK Avenue, and ShahanghaiTech datasets, respectively. This method offers significant advancements in detecting anomalous events in complex and multi-scene surveillance videos, with improved operational speed and reduced parameters.

Інноваційно-інвестиційний потенціал суб’єктів аграрного сектору економіки: сутність та взаємозв’язок його складових

The essence and structure of the innovation and investment potential of the economy have been studied. The main approaches to consideration and determination of critical directions of formation of innovation and investment potential to meet the requirements of expanded reproduction of the economy have been organized. The main principles of establishing the essence of innovation and investment potential are substantiated, among which this definition should: reveal the meaning of this concept as potential through capacity (ability); identify the base, the foundation of its formation – available resources, as well as investment sources; take into account the ability of subjects to absorb possible resources due to their ability to use innovative activities to finance investments; take into account the innovative ability to realize the innovation and investment potential. It is proposed to understand the innovation and investment potential of agricultural business entities as the actual or potential ability of the business entity to use innovations in its production and management systems through the involvement of investment support tools for modeling the complex concept of strategic management of the enterprise, consisting of individual elements, is based on certain principles and methods. It is substantiated that the structure of the innovation-investment model of the development of agrarian formations includes separate blocks of innovation opportunities, primarily in the production and management spheres of economic entities, which are currently basic in determining their investment attractiveness and thus are decisive in the system of generation, implementation and realization in strategic management potential opportunities for ensuring the competitive development of agricultural enterprises. Keywords: potential, innovation potential, investment potential, innovation-investment potential, investment resources, innovation activity.

ОСОБЕННОСТИ РАЗВИТИЯ РЕЧИ МЛАДШИХ ШКОЛЬНИКОВ В СООТВЕТСТВИИ С ТРЕБОВАНИЯМИ ФОП НОО

Currently, a new system of primary education is being implemented: there have been changes in the main regulatory documents for primary schools, as well as new programs have been drawn up, for example, the Federal Educational Program of Primary General Education (FOP NOO). Within the framework of these changes, as well as the modern life of the younger student, the distinctive feature of which is the implementation of dialog speech mainly on the Internet, it is necessary to transform the process of speech development of students. In this regard, this study is devoted to the organization of work on the development of speech of younger schoolchildren in Russian lessons. The main requirements for the implementation of the learning process in primary school are determined, taking into account the FOP NOO, the planned results within the section "Speech development". The main directions of the implementation of the content of the section, taking into account the age characteristics of younger schoolchildren, are also presented. In addition, the text of the article reflects the methods of work in the content of topics and sections of the subject, as well as the main features of the implementation of the process of speech development, taking into account age characteristics, topics and concepts studied within the section, as well as the planned subject, meta-subject and personal results achieved by an elementary school graduate. The techniques are presented in the content of the study in separate blocks, within each of them various options for their implementation are presented. For example, work on the structure of the text includes the selection of the necessary information for the creation of the text (excluding secondary), determining the course of development of the action in the content of the text, the selection of formulations for the points of the plan from the proposed, discussion of the features of the construction of the text of the future essay in accordance with the type.

Исторический обзор русских биографий Аристотеля (вторая половина XVIII – начало XX в.)

The article reviews some multi-genre texts of Russian intellectual literature (the 18th – early 20th centuries), containing structured biographies of Aristotle: dictionaries and encyclopedias, textbooks, educational and scientifi c publications. The author singles out seven main chronological periods in the history of the philosopher’s biographies’ creation, as well as their features and source base, with special attention to the authors’ personalities. A separate block examines the key biographies of Aristotle written in the Soviet era. In the main part of the article the author describes each of the selected periods chronologically in every detail, and considers the history of the individual biographical works’ creation. It is noted that the content of the studied texts varies from full-fl edged biographical sketches to brief notes, listing only the main facts or stages of Aristotle’s life. The conclusion is made about the auxiliary nature of these works, where the philosopher’s biography was often referred to when compiling thematic encyclopedic and dictionary articles, or historical references for educational purposes. At the same time, this information was borrowed mainly from foreign encyclopedic publications and popular science works devoted to Aristotle. The above features of the content of the studied texts allow us to call them Russian biographies of Aristotle only conditionally. Among the designated authors there are scientists from various fi elds, philosophers, publicists, theologians and popularizers of science. However, among them there were no professional researchers who purposefully studied the biography of Aristotle. The most signifi cant for the Russian culture of the studied period are the works of S. Ya. Nechaev, G. Voskresensky, S. S. Gogotsky, S. G. Kovner, E. F. Litvinova, S. N. Trubetskoy.