bluuebunny/crossref_metadata_2025 huggingface dataset:
DEVELOPMENT OF AN EDUCATIONAL APPLICATION SIMULATING INDUSTRIAL PRODUCTION PROCESSES IN THE UNITY 3D PERSONAL GAME ENGINE
Authors: Shulaeva Ekaterina A. , Danilov Vladimir I.
Published: July 2023

Relevance Over time, people's thinking begins to change. They perceive information differently, analyze it differently. As a result, they may have an incorrect or even rare manifestation of the process of any appearance or appearance. Today, written sources, various illustrations, and sometimes video materials are used for use. However, learning means not only the accumulation of knowledge, but also their awareness, embedding them in the mass of the student's already existing experience. If this happens, the requested book will not always be sufficient. When it comes to the fact that a person should not just learn something new, but master, comprehend and apply knowledge in practice, then it is impossible to use it without working out the study of the material on experience. Education based on computer games provides excellent opportunities for learning. Of course, in real life it is possible to simulate this or that situation in the field of application, but this is far from simple and requires quite a lot of time and material costs. In addition, simulating a whole system of situations or even a whole virtual world is a task just for computer games. The development of the educational process in educational institutions requires expectations, and at present there is the possibility of using computer-based learning systems. Training requires the development of high-tech computer applications using modern real-life technologies. As a result, high production processes and an increased understanding of high work skills have been achieved. For the user chose which control. Applications must correctly display the progress of the technological process, its parameters, as well as information in texts or audio format about the process and its elements. Aim of research Development of an educational application in the genre of a simulator that simulates the structure and operation of a neutralization and wastewater treatment plant at manufacturing enterprises in the UNITY 3D PERSONAL development environment. Research methods UNITY 3D PEROSNAL programming environment. Results This article presents the development of an application designed to implement the functions of teaching students and schoolchildren on the basis of Institute of Chemical Technology and Engineering, Ufa State Petroleum Technological University, working out safety precautions by employees of manufacturing enterprises.
EDDY CURRENT METHOD FOR DEFECT DETECTING IN MULTILAYER LARGE-SCALE OBJECTS
Authors: Demin Aleksei Yu. , Pashali Diana Yu. , Yushkova Oxana A.
Published: July 2023

Relevance In the process of developing the technology for manufacturing and operating multilayer large-sized objects used in aviation, shipbuilding, railway transport, chemical engineering, automotive and many other industries (for example, multilayer large-sized shells, main pipelines, etc.), there arises the need for operational continuous non-destructive testing of structures large areas to determine the thickness and continuity of the connection of layers with subsequent refinement of the identified defects parameters. Aim of research Development of the theory and means for diagnosing of multilayer large-sized objects technical condition to increase the reliability of their diagnostics results. Research methods To achieve the aim, analytical methods for studying the electromagnetic field, the theory of differential and integral calculus, numerical and computer modeling using software tools were used. Results A mathematical model of the electromagnetic field distribution in the multilayer structure of multilayer large-sized objects, as well as an original control device for multilayer large-sized objects, which allows continuous monitoring of their technical condition, have been developed.
PARAMETERIZATION OF THE FAN ASSEMBLY OF THE EXTERNAL ELECTRIC MOTOR COOLING SYSTEM
Authors: Ismagilov Flyur R. , Vavilov Vyacheslav E. , Mesropyan Arsen V. , Garipov Iskander R. , Pronin Egor A.
Published: July 2023

Relevance One of the most important issues in the design of electric machines is the implementation of a cooling system that provides efficient heat removal at low weight and size costs. Maintaining the optimal operating temperature of the active parts of an electric machine is necessary for its efficient and reliable operation, but under conditions of limited weight and size costs, this becomes a difficult engineering task. Air cooling of electric machines still does not lose its relevance due to its simplicity, small weight and size indicators and implementation costs. A key element in air cooling systems is the centrifugal fan, which creates the movement of air masses. Thus, in an air cooling system, the main task is to design a fan that provides the necessary characteristics. Aim of research Aim of the research is to design a fan with backward curved blades based on model parameterization in order to obtain the required performance while maintaining the overall parameters. The required volumetric performance is estimated at 120–200 m3/h depending on the rotational speed. Research methods The study is carried out using three-dimensional numerical computer simulation in the ANSYS CFX software package for computational fluid dynamics. The angles of entry and exit of the air flow from the impeller vary. As a result, 16 different variants of the ratios of the inlet and outlet flow angles were considered. Results As a result of the work, the design of the impeller of the air cooling system of the electric machine was parametrized. As a result of a series of calculations, it was determined that at an angle β2 = 70° for all angles β1 the required performance is provided at 6000 rpm. The most productive solution is the ratio β1 = 30° and β2 = 70°.
METHODS OF PREDICTIVE MONITORING OF THE TECHNICAL CONDITION OF ELECTRICAL SYSTEMS
Authors: Korolev Vyacheslav I.
Published: July 2023

Relevance During operation of electromechanical machines, their specifications may change, which can lead to machine failures. Like all electromechanical equipment, rotating machinery is subject to many different adverse effects, such as thermal and environmental stresses and mechanical damage, which require the utmost attention. In industry, any machine or system failure or unplanned downtime can degrade or interrupt a company's core business, potentially resulting in significant fines and immeasurable loss of reputation. Existing traditional approaches to maintenance (maintenance by failure or regulation) suffer from some assumptions and limitations, such as high prevention or repair costs, inadequate or inaccurate mathematical degradation processes. Due to the trend toward smart manufacturing, data mining, and artificial intelligence, predictive maintenance is proposed as a new type of maintenance only after analytical models predict certain failures or degradations. Modern systems for assessing the technical condition of electromechanical equipment are decision support systems based on machine learning. Aim of research The aim of this research is to provide a general overview of maintenance goals and objectives, which mainly include cost minimization, availability/ reliability maximization, and multicriteria optimization. In addition, an overview of existing approaches for fault diagnosis and prediction in predictive maintenance systems is proposed, which include two main subcategories: knowledge-based approaches and traditional machine learning methods. Research methods Currently, many methods based on processing information from measurement transducers, which use acoustic and vibration sensors, current and voltage sensors, temperature sensors, and electromagnetic transducers, using machine learning techniques, have been developed for fault diagnosis and failure time prediction of electromechanical units. Results As a result, the paper presents a brief overview of the aims and approaches of a predictive maintenance system for electromechanical systems based on machine learning techniques used in various electromechanical equipment. An overview of various predictive maintenance methods is presented. An overview of existing approaches based on machine learning is given.
RESONANCE PHENOMENA IN AIRCRAFT ENGINE IGNITION SYSTEMS
Authors: Gizatullin Farit A. , Gabidullina Zulfiya G. , Lobanov Andrey V.
Published: July 2023

The relevance An analysis of scientific and technical literature in the field of development and research of aircraft engine ignition systems shows that the manifestations of resonant processes in nonlinear discharge circuits of capacitive ignition systems in the presence of two energy storage devices - a storage capacitor and an inductor coil have not been studied with the issuance of recommendations for matching the parameters of energy storage devices. This problem is of significant practical interest from the point of view of optimizing the parameters of the discharge circuits, increasing the energy efficiency and igniting ability of ignition systems. Aim of research Revealing the possibilities of increasing the efficiency of capacitive ignition systems based on the use of the manifestation of resonant processes in nonlinear discharge circuits containing two energy storage devices. Research methods Studies have been carried out involving a theoretical description of the processes during the discharge of the former charged capacitor to the R-L circuit, followed by experimental confirmation of the assumptions of the alleged states, described with the alleged resonance of occurrence in the discharge circuit using a similar falling current-voltage characteristic. Results The manifestations of resonant phenomena in a capacitive ignition system during the discharge of a capacitor on a non-linear circuit R-L are investigated. It is theoretically substantiated and experimentally proved that the dependences of the voltage in the spark discharge, the current and the energy of the discharges on the capacitance of the storage capacitor at a fixed inductance of the discharge circuit are uneven with inflection points corresponding to the equality of the inductive and capacitive resistances. It is shown that the energy efficiency of the discharge circuit can remain practically unchanged with a more than 1.5-fold decrease in the capacitance of the storage capacitor in the region of manifestation of resonant processes. The results obtained make it possible to coordinate the parameters of capacitive ignition systems, to determine the optimal values of the inductance of the discharge circuits for a given value of the capacitance of storage capacitors to ensure maximum energy efficiency and igniting capacity.
RECHARGE OF VTOL UAVs ON LANDING PLATFORMS WITH ADAPTABLE CONTACT BAND WIDTH
Authors: Ovchinnikov Alexey V. , Novikova Kseniya O. , Fetisov Vladimir S.
Published: July 2023

Relevance The article describes one of the modifications of ground charging platforms for electric unmanned aerial vehicles (UAVs) with vertical takeoff and landing (VTOL). It belongs to the class of charging platforms with open pads. The previously described platforms with coplanar band parallel electrodes (CBPE) have multiple parallel strip electrodes with alternating polarity, isolated from each other by narrow dielectric separators. The corresponding on-board electrodes of the multi-rotor UAV with a symmetrical frame are proposed to be arranged at the ends of the support legs under the bearing beams of the engine-propeller groups. Thus, the contact points for the quadrocopter will be at the vertices of the square. With certain geometric relationships between the width of the ground electrodes and the interelectrode distances of the on-board electrodes for any UAV position on the platform, almost 100% different polarities of the on-board electrodes is ensured after landing, and as a consequence, the ability to bring the voltage from the ground DC source to the on-board battery charger. The advantages of such platforms are: relative simplicity of design, independence of maintenance from the accuracy of landing and the ability to charge several UAVs at the same time. However, UAVs may have various sizes and therefore various interelectrode distances, which may violate the condition of different polarities of on-board electrodes after landing. Therefore, it is important to find a solution in which reliable service of the CBPE platform for UAVs of different sizes is possible. Aim of research Finding a technical solution for adaptive band width change of a CBPE landing platform that allows charging UAVs of different sizes. Research methods Prototyping the adaptable CBPE platform and pilot study of its operation. Results The proposed modification of the platform consists in arranging the switching of bands in such a way that alternating groups of bands of one polarity are formed. Bands can be grouped into 1, 2, 3, 4, etc. Such a group works as a single band of appropriate width, which can be changed discretely. In this way, it is possible to adapt the width of the platform stripes depending on the type of vehicle coming for landing. An experimental landing platform for multicopters and a variant of implementing a commuting device for platform adaptive configuration are described.
FACS for CD45+ immune cells v1
Authors: Monahan Connor
Published: July 2023

This protocol details FACS of intestinal immune cells (CD45+).
Preparation of partsHygR-LHRZ andZeoR-LHRZ v1
Authors: Abramczyk Dariusz
Published: July 2023

This cloning protocol is for preparation tandem pair HygR-LHRZ and ZeoR-LHRZ as a part of combinatory assembly system for preparation of integration/insertion arrays. https://www.protocols.io/edit/nanochromosome-arrays-combinatory-assembly-cprkvm4w Either the HygR-LHRZ or the ZeoR-LHRZ tandem pairs are designed to be use for all arrays and are displayed on 3'-end each of arrays. During inchworming/swapping HR double cross-over recombination process, the antibiotic selection marker is replaced in every HR event while the LHRZ works as a homology recombination region used during all inchworming/swapping rounds. (see https://www.protocols.io/edit/nanochromosome-arrays-combinatory-assembly-cprkvm4w) Both parts are AsiSI free (this is for an optional excise site the cassette from the plasmid to isolate an insertion array before Pichia transformation)
Immunization with alpha-synuclein peptide v1
Authors: Monahan Connor
Published: July 2023

This protocol details immunization of MHC-II(-/-); HLA DRB1*15:01 mice with alpha-synuclein(32-46) peptide in complete Freund's adjuvant.
LAB Agarose Gel Electrophoresis Buffer Recipe v1
Authors: Teague Brian
Published: July 2023

A recipe to make lithium acetate / borate agarose gel electrophoresis buffer. This buffer has a lower ionic strength than TAE, but maintains its ability to resolve both small and large bands. Additionally, it is MUCH less expensive, and if you are short on time (like in a lab course!) you can run the gel at a higher voltage. From https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0011318 via https://bitesizebio.com/25078/faster-even-cooler-dna-gels/
Gut prep of intestinal immune cells v1
Authors: Monahan Connor
Published: July 2023

This protocol details the procedure of purification of immune cells from the mouse small intestine.
Immunofluorescence staining of myenteric and submucosal plexuses v1
Authors: Monahan Connor
Published: July 2023

This protocol details myenteric and submucosal plexus immunostaining.
Bulk RNA sequencing v1
Authors: Monahan Connor
Published: July 2023

This protocol details bulk RNA sequencing from the mouse small intestine.
Choice of Target in the Genomes of Prototypic Strains to Recognize Subgenus of Coronaviruses
Authors: Chaley M.B. , Kutyrkin V.A.
Published: July 2023

Targeted approach to recognition of coronavirus subgenus on the base of codon frequency distribution in the N-gene of nucleocapsid protein was proposed in the work. Deviation of codon frequency distribution in the N-gene of coronavirus genome analyzed from the same distributions for the 67 prototypic strains, which characterize the 23 subgenera in the four coronavirus genera, is calculated on the base of statistics in the approach proposed. The smallest value of such a deviation from certain prototypic strain points at subgenus to which this strain belongs. The approach proposed appeared to be effective and supports significance for recognizing coronavirus subgenus at least 99 %. Populations of the 38 and 7 codons providing for needed efficiency level were selected out of all codons of the genetic code in accordance with their frequency distribution. The codons from the populations outlined fix taxonomic structure of coronavirus subgenus.
Synthesis of Adaptive Observer of State Variables for a Linear Stationary Object in the Presence of Measurement Noise
Authors: Bobtsov A. A. , Vorobyev V. S. , Nikolaev N. A. , Pyrkin A. A. , Ortega R.
Published: July 2023

The paper is devoted to the problem of state variables observers synthesis for linear stationary system operating under condition of noise or disturbances in the measurement channel. The paper considers a completely observable linear stationary system with known parameters. It is assumed that the state variables are not measured, and the measured output variable contains a small amplitude (in general, modulo less than one) additive noise or disturbance. It is also assumed that there is no a priori information about the disturbance or noise in the measurement channel (for example, frequency spectrum, covariance, etc.). It is well known that many observer synthesis methods have been obtained for this type of systems, including the Kalman filter, which has proven itself in practice. Under the condition of complete observability and the presence of some a priori information about a random process (which is typical for the case when a disturbance in the measurement channel can be represented as white noise), approaches based on Kalman filtering demonstrate the highest quality estimates of state variables convergence to true values. Without disputing the numerous results obtained using the application of the Kalman filter, an alternative idea of the state variables observer constructing is considered in this paper. The alternative of the new approach is primarily due to the fact that there is no need to use the usual approaches based on the Luenberger observer. The paper proposes an approach based on the estimation of unknown parameters (in this case, an unknown vector of initial conditions of the plant state variables) of a linear regression model. Within the framework of the proposed method, after a simple transformation, a transition is made from a dynamic system to a linear regression model with unknown constant parameters containing noise or disturbing effects. After that, a new nonlinear parametrization of the original regression model and an algorithm for identifying unknown constant parameters using the procedure of dynamic expansion of the regressor and mixing are proposed which ensure reduction the influence of noise. The article presents the results of computer simulations verifying the stated theoretical results.
Identification of Two FitzHugh-Nagumo Neuron Models Based on the Speed-Gradient and Filtering
Authors: Rybalko A. V. , Fradkov A. L.
Published: July 2023

The paper is devoted to the problem of parameter identification of two FitzHugh-Nagumo neuron models. The FitzHugh-Nagumo model is a simplification of the Hodgkin-Huxley model and it is very valuable for using on practice thanks to its simplicity. However, within an experiment only one variable of the FitzHugh-Nagumo model, the membrane potential, is measured, while another variable of cumulative effects of all slow ion currents responsible for restoring the resting potential of the membranes and both variables’ derivatives cannot be measured. This circumstance brings additional difficulties to the parameters estimation problem and, therefore, this case needs special attention. Firstly, the model was transformed to more simple form without unmeasured variables. Variables obtained from applying second-order real filter-differentiator were used instead of unmeasured derivatives in model’s equations. As a result, a linear equation was gotten and for this equation the identification goal, which guarantees correct parameters’ adjustment, was formulated and an adaptive system, parameters of which are estimations of original system’s parameters and an output of which estimates the output of the linear equation, was constructed. Then, the integral objective function was defined and the algorithm for the original model parameters identification was designed with the speed-gradient method. The results of computer simulation in the Simulink environment are presented. These results demonstrate that estimates of the model’s state and parameters converge to their true values rather fast. Unlike existing solutions of the FitzHugh-Nagumo identification problem, we propose a much easier deterministic algorithm. Moreover, the parameters are estimated for a system collected from two FitzHugh-Nagumo models, which opens perspectives for using the proposed method in modeling neuron population activity.
Overview of Models and Methods for Control of Stepper Motors
Authors: Furtat I. B. , Zhukov Y. A. , Slobodzyan N. S.
Published: July 2023

A review of models and algorithms for control of a stepper motor (SM) is presented. Due to high accuracy, improved power density, economy and reliability compared to other synchronous motors, stepper motors are widely used in various practical applications and scientific equipment. In aviation and space technology, step motors are actively used in actuating systems, such as drives for the movement of elements of large-sized structures, guidance, and stabilization systems, etc. The article describes some existing stepper motor control algorithms, which are both based on the knowledge of the parameters of the stepper motor model, and on the absence of this or that information. Of the many described algorithms, four were selected (PID controller, exact feedback linearization algorithm, adaptive control with partially unknown parameters and adaptive control with completely unknown parameters), which showed the best results of transient processes in tracking the angle of the rotor of the SM behind the reference value. A comparative numerical analysis among these four algorithms is also given, which showed that the best results of transients are demonstrated by adaptive controllers (in the sense of the smallest error in steady state), while the worst results are demonstrated by the PID controller. It is noted that the studied PID controller contains much fewer feedback loops compared to other algorithms, which simplifies the choice of adjustable parameters and reduces the dynamic order of the closed system, however, the design is based on knowing the exact parameters of the drive and is also sensitive to external disturbances. On the contrary, adaptive approaches successfully solve the problem of estimating parametric and functional perturbations, but their implementation is associated with significant difficulties.
Survey of Relative Navigation Methods for Multi-Agent Unmanned Aerial Vehicle Systems
Authors: Abdrashitov A. R.
Published: July 2023

Multi-agent Unmanned Aerial Vehicle (UAV) systems require stable and high-precision navigation. The existing navigation solutions, such as global navigation satellite systems (GNSS) and inertial navigation systems, may perform inefficiently in some application scenarios. The relative navigation methods can help solve this problem. Relative navigation enables UAVs to precisely estimate their positions relative to each other, as opposed to absolute navigation, which calculates the UAVs’ position relative to the Earth. Despite the abundance of relative navigation articles, there are no systematic reviews of relative navigation methods. Additionally, various articles on relative navigation use a variety of terms for comparable concepts, which makes it more difficult to understand the subject. Therefore, this review comprehensively studies systematizes relative navigation methods, and analyzes their strengths and weaknesses. We categorize relative navigation methods appropriate for multi-UAV systems, compare them, and make conclusions based on our findings. The relative navigation methods discussed in this review include differential GNSS, radio-frequency-based, visual, and their combinations. We evaluate the achievable accuracy and range for each type of method according to related studies. We also describe the limitations and vulnerabilities of each method. As a result, we outline relative navigation’s primary capabilities and assess its condition now.
Planning of UAV Flight Routes in the Problems of Group Patrolling of the Extended Territories
Authors: Filimonov A. B. , Filimonov N. B. , Nguyen Т. К. , Pham Q. P.
Published: July 2023

Currently one of the promising areas of joint use of unmanned aerial vehicles (UAVs) is group air patrolling of large territories. Here the organization of patrolling assumes the solving the planning problem of routes flight of UAV group. The paper considers the problem of optimal planning of flight routes of the same type of UAVs during group patrolling of large territories. The territorial waters or narrow border areas of any State may serve as an example of such territories. It is suggested that the patrolled area has an elongated shape and is divided into a chain of adjacent patrol zones prescribed by a separate UAV. The drone’s flight route passes through adjacent zones. The flight task performed periodically by each drone consists in moving it to a given flight zone, collecting operational data and transmitting this data to a control point (center, station). The optimization aspect of UAV flight route planning is to minimize the maximum time required to complete flight tasks. The considered problem of group patrolling reduced to the multiple traveling salesman problem — one of the classic intractable combinatorial optimization problems. A brief analysis of modern methods for solving the multiple traveling salesman problem is given. Due to the lack of effective exact methods for solving this problem, it is natural to use approximate heuristic and metaheuristic methods focused on solving NP-hard optimization problems, reducing the full search and giving a solution close to the exact one. The multiple traveling salesman problem considered in this paper is reduced to the problem of integer linear programming, for the solution of which a genetic algorithm implemented in MATLAB based on the mathematical package Global Optimization Toolbox is proposed. An illustrative example of patrolling by three UAVs of an extended territory with 11 adjacent zones is considered. Computational experiments confirm the effectiveness of the algorithmic solutions proposed in the work.
A Review of Low Temperature Combustion Mode of Engine
Authors:   North China University of Water Resources and Electric Power, No. 36, Beihuan Road, Zhengzhou City, Henan, China, Hao Qingyang
Published: July 2023

Since the 21st century, people's increasing attention to fuel economy and environmental issues has prompted the engine research community to continuously develop new efficient and clean combustion theories and methods. In terms of combustion technology, many researchers have proposed different new engine combustion methods, such as homogeneous charge compression ignition combustion (HCCI), premixed charge compression combustion (PCCI), and reaction controlled compression ignition (RCCI), which are the three main low-temperature combustion methods. These combustion methods are different from the premixed combustion method of the spark ignition (SI) engine represented by the traditional gasoline engine and the diffusion combustion method of the compression ignition (CI) engine represented by the traditional diesel engine. The flame temperature affects the combustion and emission process of the engine, and realizes the efficient and clean combustion of the engine. This paper first briefly describes the conventional engine combustion method, and then briefly summarizes the comparison between these three low-temperature combustion methods and their respective combustion and emission characteristics as well as advantages and disadvantages, with respect to the conventional combustion method.
YETİŞKİN BİREYLERDE BİLİŞSEL DUYGU DÜZENLEME GÜÇLÜĞÜ STRATEJİLERİ VE SOSYAL GÖRÜNÜŞ KAYGISI İLE KOMPULSİF SATIN ALMA DAVRANIŞI ARASINDAKİ İLİŞKİ
Authors: Bölenler Burcu , Akoğlu Bahar
Published: July 2023

Amaç: Bilişsel duygu düzenleme güçlüğü stratejileri ve sosyal görünüş kaygısı ile kompulsif satın alma davranışı arasındaki ilişkinin incelenmesidir. Yöntem: Çalışmada genel tarama modellerinden “ilişkisel tarama” modeli uygulanmıştır. Araştırmaya 384 yetişkin birey katılmıştır. “Sosyodemografik Veri Formu”, “Sosyal Görünüş Kaygı Ölçeği”, “Bilişsel Duygu Ölçeği”, ve “Kompulsif Çevrimiçi Satın Alma Ölçeği” kullanılmıştır. Bulgular: Sosyal görünüş kaygısı ile bilişsel duygu düzenleme stratejileri arasında pozitif yönlü ilişki bulunmuştur. Sosyal görünüş kaygısı ile kompulsif çevrimiçi satın alma davranışları arasında anlamlı ilişki olduğu saptanmıştır. Bilişsel duygu düzenleme stratejilerinin cinsiyete göre farklılaştığı, kadınların erkeklere göre daha yüksek ortalamaya sahip olduğu bulunmuştur. Kompulsif çevrimiçi satın almanın cinsiyete göre farklılaştığı, erkeklerin kadınlara göre daha yüksek ortalamaya sahip olduğu görülmüştür. Sonuç: Bilişsel duygu düzenleme güçlüğü stratejilerinin, sosyal görünüş kaygısı ve kompulsif çevrimiçi satın alma arasında ilişki olduğunu göstermektedir. Araştırmadan elde edilen veriler ışığında tüketicilerin kompulsif satın alma davranışlarıyla ilgili müdahalelerde ilgili etkenlerin çalışılması adına sosyal görünüş kaygısının ele alınmasının ve bilişsel duygu düzenleme stratejilerinin çalışılmasının fayda sağlayacağı düşünülmektedir. Bu bağlamda kompulsif satın alma davranışının maddi güçlükleri de söz konusu olabileceğinden erken tanı ve müdahale önemli görülmektedir.
BUYING WINE ONLINE OR OFFLINE: SOME DETERMINANTS OF BUYER INTENT FOR FRENCH CONSUMERS
Authors: Pelet J. E.
Published: July 2023

This paper aims at determining the reasons why customers prefer to buy wine online or offline, the first comprising both mobile-commerce (m-commerce) and e-commerce platforms. In particular, this research strives to understand effects of social influence and enjoyment on the intention to purchase wine from online and offline touchpoints. Moreover, the goal is to find out about the differences in the behaviour of French wine buyers and explain the choice of channel buyers prefer to use when they purchase wine.

To answer our research questions, data was collected through an online questionnaire. A theoretical model is suggested and tested by the use of SmartPLS3. Online and offline buyers are compared using multi-group analysis (MGA) technique. Wine buyers are compared by the use of one-way ANOVA through SPSS 19.

To date no paper has examined the differences between shopping behaviour in a retail store or on e-commerce or m-commerce platforms considering perceived enjoyment and social influence constructs. Hence, this contribution brings to the fore preliminary results on wine shopping behaviour and reveals what drives consumers to make a decision in favour of buying wine online or offline.

The results show that fun and social influence affect intention to buy wine from offline touchpoints. Enjoyment also strongly and significantly affects the intention to buy wine from online touchpoints.
INTRODUCTION OF DIGITAL PLATFORMS BY INDUSTRIAL COMPANIES AS A SOURCE OF COMPETITIVE ADVANTAGES
Authors: Trachuk A. V. , Linder N. V.
Published: July 2023

This paper examines the impact of digital platforms on the development of industrial companies, their role for the development and formation of sustainable competitive advantages by industrial enterprises. It is investigated how digital platforms affect efficiency and what negative network effects industrial companies experience. As a method of empirical research, the case method of eight Russian industrial companies is used, the number of which varies from 38 to 996 people. All the industrial companies included in the sample have been working on digital platforms for more than 5 years. The results of the study were the conclusions that digital platforms are used as an opportunity to enter foreign markets only by small industrial companies, large and medium-sized companies use other sources of internationalisation; digital platforms are not used as a source of innovative development. Digital platforms serve as an ecosystem to create a better offer for customers. Digital platforms are also a source of sustainable competitive advantages due to the formation of relationships with partners and obtaining information about consumers and markets.
DESIGNING ENTREPRENEURIAL BUSINESS MODEL IN THE IRANIAN CLUB INDUSTRY IN POST-CORONAVIRUS CONDITIONS
Authors: Shahlaeeand J. , Nasiri A. , Ghafuori F. , Shabani Bahar G.
Published: July 2023

The purpose of this study was to investigate the COVID-19 and the challenges facing the club industry in developing countries. In this qualitative-analytical study, 17 sports experts, sports club managers, and sports entrepreneurs were interviewed based on purposive and triangular sampling methods. The data analysis was also performed by open and axial coding, of which 6 concepts and 42 categories were classified under 6 general themes. The main concepts include government support, financial issues, club activity, sponsorship, mental consequences, and social media. This study highlights the role of sports entrepreneurship in overcoming problems. Managers must use the ability of entrepreneurship because entrepreneurship is considered essential in the economy and provides the impetus for economic growth. Sports entrepreneurship can overcome the coronavirus crisis and solve the problems that have arisen.
IMITATION STRATEGIES IN ENTREPRENEURSHIP: BIBLIOMETRIC ANALYSIS
Authors: Kravchenko S. I. , Bogachov S. V.
Published: July 2023

The article presents the research results on the evolution of key patterns of scientific publications devoted to the use of imitation strategies by business entities. End of purpose was ensured by solving two interrelated tasks: first, to form a relevant sample of scientific articles (2,302 publications on selected topic, indexed by the Scopus scientometric database, for the period from 1992 to 2022); secondly, to analyse the co-occurrence of keywords to characterise the current state of the research field and determining the perspective of its development. The terms “imitation strategy, innovation” or “innovation, imitation, strategy” were chosen as keywords. The bibliometric analysis and visualisation of its results were performed using the VOSviewer software product. On the basis of visualisation maps, five clusters of the content matching of keywords in articles and five stages of the evolutionary development of innovative behavior of enterprises were identified. The results of the research can be used in studying various aspects of the implementation the imitation strategies by business entities.
THE CONCEPT OF TRANSFORMATION OF THE RETAIL ELECTRICITY MARKET IN THE CONTEXT OF DIGITAL TRANSFORMATION OF THE INDUSTRY
Authors: Kuzmin P. S.
Published: July 2023

The market model of the Russian power industry that currently exists is facing trends and challenges, such as rising electricity prices for end-consumers, rising tariffs for power transmission services and sales mark-ups, the complexity and high cost of technological connection to power grids and capacity expansion, as well as increase in cross-subsidisation.

At the same time, the energy industry is influenced by external factors caused by a number of technological changes that have matured in Russia and in the world, such as the transition from electric energy production at large power plants to the use of distributed generators (including those using renewable energy sources (RES), an increase in the final price on electricity due to growth in demand, as well as the transformation of the spread and reduction in the cost of generator techniques with the use of renewable energy sources, technologies for energy storage systems, as well as the development of smart metering systems.

In turn, cutting-edge technologies of the electric power industry not only lead to positive economic effects when implemented separately, they reveal the fullest range of effects and lead to the emergence of new models of interaction in the retail market if their interaction is coordinated by Industry 4.0 digital technologies. Thus, the combined influence of digital transition technologies in the electric power industry forms the prerequisites for the emergence of a new type of consumer of electric power – an active consumer.

The purpose of this study is to analyse the factors influencing the adoption of these technologies by retail market entities and the effectiveness of their implementation, as well as the formation of a target retail market concept that takes into account the introduction of active consumers and has the potential to create direct and indirect economic effects for energy industry entities.
OVERCOMING THE BARRIERS TO THE DIGITAL TRANSFORMATION OF INDUSTRIAL ENTERPRISES THROUGH THE BUSINESS MODEL SELECTION MECHANISM
Authors: Karikova A. S.
Published: July 2023

The article describes the main barriers to digital transformation faced by industrial enterprises in various industries, such as: lack of appropriate funding, information security risks, insufficient digital skills of employees, insufficient maturity of current processes, internal resistance to change, insufficient awareness of managers, lack of certainty over the future of digital standards. To analyse the barriers, the author used a three-step approach, including a literature review, a primary research with representatives of the companies, and a qualitative comparative analysis that are based on the Kruskal – Wallis test and used to identify differences between groups of enterprises. To overcome the barriers identified by the author it was offered to use  a mechanism of a business model selection, which takes into account the assessment of obtained competitive advantages (improvement of operational, financial and technical efficiency), digital maturity (digital culture level, staff qualifications, the quality of business process organisation and access to digital infrastructure) and risks (non-receipt of expected income from business model implementation, information security, reputational and personnel). The novelty of the proposed business model selection mechanism for an industrial enterprise is to improve the classification and develop a multi-criteria mechanism for choosing a business model, which would be implemented using a knowledge-based system incorporating a fuzzy inference mechanism.
Endovascular Recanalization Methods in Treatment of Chronic Lower Limb Ischemia: Modern State of Problem
Authors: Gaibov Alidzhon Dzh. , Nematzoda Okildzhon , Rakhmonov Dzhamshed K. , Davlatov Rustam K. , Kalmykov Egan L.
Published: July 2023

INTRODUCTION: The problem of treatment of patients with chronic lower limb ischemia (CLLI) remains extremely important to date. This is first of all due to increase in the number of patients with chronic obliterating diseases of peripheral arteries, which hold one of the leading positions in the structure of morbidity and disability of the population over 60 years. The progression of the disease with development of critical CLLI leads to amputation of the limb within five years in a third of patients. The first line therapy for CLLI is endovascular interventions both stand-alone and with use of hybrid approach, especially in patients with critical CLLI. In many cases of multi-level, especially multifocal lesions of arterial vessels, the choice of revascularization tactics is not yet completely defined.
CONCLUSION: In recent years, there has been a trend of using endovascular revascularization technologies in continued stenosis and occlusions of the lower limb arteries. However, there is an essential need to study their long-term results, as well as to clarify the indications for stenting in critical CLLI.
Expression of FOXP3 of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer: Its Relationship to Histopathological Parameters and Overall Survival
Authors: Hagone Swati , Bharat Patil  U. , Gupta Anupama , Nitin Gangane
Published: July 2023

BACKGROUND: Forkhead box P3 protein (FOXP3) is expressed in both tumor cells and tumor-infiltrating lymphocytes (TILs) and is reported to be associated with differences in clinical outcomes. Recent literature shows that FOXP3 positive (FOXP3+) T regulator cells (Tregs) influence anti-tumor immunity in solid tumors.
АIM: To explore FOXP3+ Tregs expression related to various prognostic factors in breast carcinoma (BC) in the central Indian population. Our study is also helpful in correlating the role of FOXP3+ Tregs in the survival of invasive ductal BC with different histopathological presentations.
MATERIALS AND METHODS: This is a retrospective and prospective observational study in which FOXP3+ Tregs was counted in the peritumoral area by immunohistochemistry in 47 consecutive cases of BC operated on and diagnosed already. The patients were followed for 48 to 69 months for disease progression.
RESULTS: High-grade tumors are prevalent (n = 30) in the study area irrespective of the stage of clinical presentation. Patients who could adhere to their treatment plan remained free of adverse outcomes until the end of our follow-up period of 69 months (p = 0.001). No molecular subtype in our study showed specific predilection towards a high Tregs count in the peri-tumoral area. No other clinical or pathological parameters significantly correlated with FOXP3 +Treg count, including overall survival and disease-free survival.
CONCLUSION: The study shows that luminal human epidermal growth factor receptor 2 negativ and human epidermal growth factor receptor 2 enriched BC show comparatively high FOXP3+ Tregs count. There is no relation with tumor grade, TNM stage, important immune markers, or overall survival and disease-free survival.
Voluntary Consumption of Sodium Glutamate Solution as a Factor of Depression-Like Behavior in Adult Rats: an Experimental Study
Authors: Parot'kin Daniil O. , Bogdanova Natal'ya G. , Nazarova Galina A. , Sudakov Sergey K.
Published: July 2023

INTRODUCTION: Use of sodium glutamate solution with food is a widely spread practice. The glutamate-ergic system has been shown to directly participate in the mechanisms of depression, however, up to the moment, no data have been found to evidence that use of sodium glutamate causes depression.
AIM: To study the effect of intake of sodium glutamate on the formation of depression-like behavior in male rats.
MATERIALS AND METHODS: Formation of depression-like behavior was evaluated in male rats of Wistar line with 230 g250 g weight at the beginning of the experiment in the situation of inescapable swimming according to the method of R. D. Porsolt, and of hanging by the tail according to T. A. Voronina. In the course of the experiment, the rats of the experimental group consumed 1.1% sodium glutamate solution daily for 30 days, the control animals drank water. During the experiment, the rats were kept in individual cages and had free access to water. The animals of the control group (n = 7) had only water in the drinking bowls. The animals of the experimental group (n = 7) were given water in one drinking bowl and 60 mМ (1.1%) sodium glutamate solution (Henan Lotus Flower Gourmet Powder Cо., LTD, China) in the other.
RESULTS: Consumption of 1.1% sodium glutamate solution for 30 days led to reduction of the time of active movements and to increase in the number of periods of immobilization in animals in both tests. Besides, in the tests for depression-like behavior of animals, increased rhythmologic index of depression was found in the group of rats receiving sodium glutamate solution.
CONCLUSION: Based on the results of study, it was found that chronic voluntary consumption of 60 mM (1.1%) sodium glutamate solution for 30 days provokes the formation of depression-like behavior in rats.
Complex Approach in Examination of Function of the Knee Joint in Patients with Osteoarthritis
Authors: Fedoseyev Andrey V. , Chekushin Aleksandr A. , Tishkin Roman V. , Dobychin Aleksey N. , Zenkin Grigoriy Yu. , Prints Aleksandra D. , Melyokhina Mariya S. , Tkachik Anna V. , Zubov Andrey  A.
Published: July 2023

INTRODUCTION: Osteoarthritis (OA) of the knee joint (KJ) is a common problem. The basic factors impairing the function of the KJ are pain and restriction of movement. Evaluation of function of the KJ in OA is an indispensable part of the diagnostic and treatment process. There exists a problem of a quantitative evaluation of pain and restriction of movement of the KJ in OA, associated with the absence of a single standard for evaluation of the KJ function. In the article, the data are given on the modern possibilities for evaluation of the KJ function in OA. The KJ function is evaluated in clinical examination, functional tests, numerous functional questionnaires, as well as with the use of devices for record of movements. Clinical picture of OA of the KJ is evaluated in the clinical examination which includes diagnostic tests, evaluation of the volume of movement, force of muscles, with conclusions about the phenotype of the disease. Functional tests recommended by OARSI (Osteoarthritis Research Society International) are preferable for express-testing, but not all of them have reference values. Functional questionnaires for evaluation of the KJ function exist in many variants, which impedes their choice and interaction between specialists, and they are characterized by different labor intensity in use. There exists a diversity of devices for evaluation of function of the KJ, some of which are expensive, require special rooms, training of the specialist, and take considerable time. Others are simpler in use and inexpensive, but give less reliable results.
CONCLUSION: The authors showed the possibilities of a comprehensive evaluation, described the problem of the lack of a single standard for investigation of the KJ function. A conclusion is made about the necessity to develop a software-hardware complex that maximally satisfies the criteria of objectivity, accessibility and quickness of use for evaluation of function of the KJ in OA.
Surgical Treatment of Pulmonary Embolism Associated with COVID-19: First-Hand Experience
Authors: Fedorov Sergey A. , Zhurko Sergey A. , Pichugin Vladimir V. , Chiginev Vladimir A. , Maximov Anton L. , Kulkarni Sanika V.
Published: July 2023

INTRODUCTION: Venous thromboembolic complications occupy one of the central positions in the structure of complications associated with CoronaVirus Disease 2019 (COVID-19). Characterized by high epidemiological threshold values, as well as an atypical clinical picture, they determine the need for new approaches to early diagnosis and active treatment. Surgical treatment of pulmonary embolism in itself is an extremely controversial method of reperfusion of the pulmonary arterial bed. Concerning pulmonary embolism associated with a new coronavirus infection, we did not find a single clinical case reported in the available literature. The article considers a clinical case of surgical treatment of pulmonary embolism against the background COVID-19 infection, demonstrates a comprehensive approach to treatment and describes peculiarities of the clinical picture.
CONCLUSION: Based on the presented case, one should note the importance of the anticoagulant therapy in a group of people with a virus-specific intervention to prevent recurrence of thromboembolic complications. Complex surgical treatment in combination with the proposed methods of anesthesiological support are the methods of choice in a group of people at intermediate-high and high risk of early cardiac death.