57 results on '"D. Obukhov"'
Search Results
2. 3D Human Motion Capture Method Based on Computer Vision
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A. D. Obukhov, D. L. Dedov, E. O. Surkova, and I. L. Korobova
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motion capture ,virtual reality ,triangulation ,computer vision ,machine learning ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Introduction. The analysis of approaches to tracking the human body identified problems when capturing movements in a three-dimensional coordinate system. The prospects of motion capture systems based on computer vision are noted. In existing studies on markerless motion capture systems, positioning is considered only in two-dimensional space. Therefore, the research objective is to increase the accuracy of determining the coordinates of the human body in three-dimensional coordinates through developing a motion capture method based on computer vision and triangulation algorithms.Materials and Methods. A method of motion capture was presented, including calibration of several cameras and formalization of procedures for detecting a person in a frame using a convolutional neural network. Based on the skeletal points obtained from the neural network, a three-dimensional reconstruction of the human body model was carried out using various triangulation algorithms.Results. Experimental studies have been carried out comparing four triangulation algorithms: direct linear transfer, linear least squares method, L2 triangulation, and polynomial methods. The optimal triangulation algorithm (polynomial) was determined, providing an error of no more than 2.5 pixels or 1.67 centimeters.Discussion and Conclusion. The shortcomings of existing motion capture systems were revealed. The proposed method was aimed at improving the accuracy of motion capture in three-dimensional coordinates using computer vision. The results obtained were integrated into the human body positioning software in three-dimensional coordinates for use in virtual simulators, motion capture systems and remote monitoring.
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- 2023
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3. Optimization of waste heat recovery system for mobile compressor unit for compressing natural gas
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I. D. Obukhov
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recuperation ,rankine cycle ,mobile compressor unit ,optimization ,natural gas ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
This paper presents the methodology and results of optimization of the waste heat recovery system (WHRS) of a mobile compressor unit (MCU) designed to compress natural gas using a computer model in the MatLab with the CoolProp thermodynamic package. In the course of the study, a computer model of the WHRS is built, a criterion for the efficiency of recuperation is determined, an optimization problem is formulated and its solution is carried out. The boiling pressure and mass flow rate of the working fluid in the Rankine cycle are taken as the optimization parameters. With the optimal values of these parameters, the smallest value of the relative mass fuel consumption of the MCU is achieved, that is, the maximum recuperation efficiency is achieved.
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- 2021
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4. Multipurpose conversion of marine diesel engines when creating piston motor-compressor units
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V. L. Yusha, G. I. Chernov, I. D. Obukhov, O. G. Bessonov, V. V. Denisenko, A. A. Goncharenko, and V. B. Shipov
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recuperation ,rankine cycle ,internal combustion engine ,compressor ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
This paper present an assessment of the energy efficiency of various combinations of piston stages of an internal combustion engine, a compressor, and a Rankine engine as part of piston motor-compressor units based on modernized marine diesel engines. An eight-cylinder single-row diesel engine 8Ch23/30-1 is chosen as the object of research, the base of which is used as a single platform for creating powertechnology units for various purposes and power. The proposed variants for converting the original engine allow, with minimal costs for the development of design and manufacturing technology, to create gas engine compressor units with reduced fuel consumption and improved weight and size characteristics in comparison with the known mobile compressor stations driven by diesel internal combustion engines. In the paper, on the basis of the developed mathematical models of working processes, the possibility of joint operation of diesel cylinders with piston expanders of the Rankine cycle and one or more stages of a piston compressor is assessed. Various possible combinations of diesel cylinders, compressor cylinders and expander cylinders are considered, as well as the dependences of engine power and compressor performance depending on the number of compressor stages and the number of diesel power cylinders used.
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- 2021
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5. Madzhar in the Context of Relations of the Byzantine Empire and the Golden Horde. Archaeological Evidences
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Sergei G. Bocharov and Yuri D. Obukhov
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archaeology ,byzantine empire ,golden horde ,golden horde’s town of madzhar ,madzhar’s archaeological site ,ceramology ,byzantine glazed pottery ,byzantine coin ,trade activities ,Archaeology ,CC1-960 - Abstract
The article illustrated the archaeological evidence of trade links between the town Madzhar - main Golden Horde’s center in the North Caucasus Region with cities of Byzantium. These connections demonstrated by the examples of two categories of finds of Byzantine origin from the territory of this town of the Golden Horde. The first category is Glazed Pottery. Five groups of ceramics made in various centers of the Byzantine Empire fixed on Madzhar pottery complex. Main interest attracts the second group of Bizantium Glazad Pottery, which is a chronological indicator for the period from the middle to the third quarter of the 13th century. Further mapping of the points were deposit the vessels of this group in the area of the medieval town will make possible to identify the earliest part of the urban area, whith first buildings and from begins the growth of urban quarters. The second category is Byzantine coin of Andronicus II and Michael IX.
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- 2021
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6. Grain Processing in the Golden Horde City of Madzhar
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Yuri D. Obukhov
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archaeology ,madzhar ,azak ,golden horde ,millstone ,flour ,crackers ,flour milling ,Archaeology ,CC1-960 - Abstract
The article proposes to discuss the issue of grain processing and the development of flour milling in the cities of the Golden Horde. Using the example of the archaeological research of the city of Madzhar and the materials obtained during the archaeological work in the city of Azak, as well as drawing on medieval sources, the need for this production among the nomadic population, traveling merchants, ambassadors and missionaries is also considered.
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- 2021
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7. Analysis of application of heat loss recovery system using organic Rankine сycle for drive of process equipment
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A. M. Kalashnikov, A. A. Kapelyukhovskaya, and I. D. Obukhov
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heat energy ,heat recovery ,heat exchanger ,mechanical engineering ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
The analysis of heat exchange processes during cooling of the heated surface of the process equipment is carried out on the basis of the equations contained in the ANSYS Fluent package. When modeling heat exchange processes, the following boundary conditions are adopted: the temperature of the heated surface; the coil heat exchanger is located at a distance from the heated surface of the process equipment. From these results, we can draw the following conclusions: the increase in the temperature of the heated surface leads to the increase of the heating zone of the refrigerant with high capacity and, hence, to increase heat capacity; increasing the refrigerant flow rate, the lower the temperature of the refrigerant at the exit, but increases the thermal capacity; increasing the pressure of the heated refrigerant increases the thermal; this design of the heat exchanger allows you to achieve the necessary power for the operation of the drive by: changing the flow rate of the refrigerant, the excess pressure of the refrigerant, the number of elbows, as well as by installing a heat-reflecting casing
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- 2021
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8. Automation of information distribution in adaptive electronic document management systems using machine learning
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A. D. Obukhov
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electronic document management systems ,information distribution ,automation ,adaptability ,machine learning ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Introduction. Electronic document management systems (EDMS) are used to store, process and transmit large amounts of information. Automation of these processes is a challenge that requires a comprehensive solution. Its solution willreduce the time and material costs for design and make the transition to a more advanced, adaptive EDMS. The paper is devoted to the development of new methods for automating the process of distributing information in the EDMS. The work objective is to improve the accuracy of the information distribution in the EDMS through moving from analytical or algorithmic solutions to the use of new methods based on machine learning technologies. The application of neural networks in the furtherance of this purpose will also improve the efficiency of software development through automating the analysis and processing of information.Materials and Methods. A new method of the automated information distribution based on machine learning technologies including a mathematical description of the information distribution rules is proposed. The formulated list of conditions for the information distribution provides the implementation of software based on neural networks for solving the problem of automatic data distribution in the EDMS.Results. The method of automated information distribution has been tested on the example of the EDMS subject area when solving the problem of analyzing the correctness of information entered by the user. In the course of experimental studies, it was found that the proposed method, based on machine learning technologies, provides better accuracy (8 % higher) and is more efficient (in accordance with the Jilb metrics and cyclomatic complexity).Discussion and Conclusions. The results obtained confirm the efficiency and accuracy of the method proposed. The presented results can be used to automate the processes of distribution and verification of information in adaptive EDMS, as well as in other information systems. Based on the method developed, it is also possible to solve connected problems: search for duplicates and similar documents, classification and placement by file categories.
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- 2020
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9. Management information system professional development of the student in the process of independent work
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Mikhail N. Krasnyansky, Andrey I. Popov, Artem D. Obukhov, and Sergey V. Karpushkin
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professional education ,creative abilities ,individualization of education ,developing training ,optimization ,adaptive management ,Education (General) ,L7-991 ,Theory and practice of education ,LB5-3640 - Abstract
The article is devoted to solving the problem of improving the quality of higher education and enabling students to make maximum use of their intellectual and creative potential for professional development in the process of independent work.The analysis of the educational process organization is carried out and the problem moments of realization of the principles of individualization and developing training are revealed. The necessity of development of creativity as a key characteristic of a competitive specialist is substantiated, the main approaches to its definition and development are investigated. The mechanism of formation of creativity of students in the process of independent work has been developed in consideration of the works of D. B. Bogoyavlenskaya, and N. F. Vishnjakovoj, T. A. Barysheva.The research was based on the generalization and development in the context of digital professional education of the experience of organization of independent work and creative self-development of students of Tambov state technical University. The mathematical modeling of the process of management of professional development of students was carried out.According to the results of the study, the key indicators characterizing the current level of competence formation are formulated, and the conceptual provisions of individualization of training within the framework of organized independent work of students on the basis of the principles of developing training are developed. Formalization, mathematical modeling is carried out and methodology of design of adaptive information system of management of professional formation of the student in the course of independent work is proved. The task of optimization of sustainable work is set and several variants of the criterion of optimization are offered, allowing to provide the maximum satisfaction of both the employers ' society and the individual in obtaining high-quality competitive technical education.The developed approaches to the formalization of the processes of training organization and mathematical modeling of the process of professional formation, to the determination of the complexity of tasks and improvement of the current abilities of the student through the transition from the development zone to the zones of near and subsequent development are of significant theoretical and practical importance for improving the quality of the higher education system.
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- 2019
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10. Long-term results of revascularization of the lower extremities in patients with critical ischemia and diabetes mellitus with localization of the occlusive-stenotic process in the femoral artery
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Denis V. Frolov, Pavel V. Mozgovoy, Diana V. Linchenko, Mikhail V. Frolov, Andrey A. Chernovolenko, Yulia A. Dyachkova, and Artem D. Obukhov
- Abstract
Aim: to determine the most preferable tactics of surgical treatment of patients with critical ischemia of the lower extremities of atherosclerotic genesis and diabetes mellitus based on a comparison of the results of revascularizing interventions. Methods: The study involved 82 patients who were treated in the department of vascular surgery due to critical ischemia of the lower extremities as a result of atherosclerotic occlusive-stenotic lesion of the femoral arterial segment against the background of diabetes mellitus. After the diagnostic stage and preoperative preparation, the patients were divided into two groups depending on the nature of the intervention performed: endovasal revascularization or femoropopliteal autovenous bypass grafting above the knee joint gap. In the postoperative period, dynamic observation of patients was continued with a predominant assessment of the clinical status. Results: Clinically, circulatory decompensation requiring repeated intervention or amputation was observed in 9 (30 %) patients from the first group and in 13 (25 %) patients from the second. High amputation was performed in 2 (6.6 %) study participants from the endovasal revascularization group and 3 (5.7 %) from the open surgery group. Over the entire observation period, 2 (6.7 %) and 4 (7.8 %) patients died in the groups under consideration, respectively. No statistically significant differences were obtained for any of the studied parameters, however, repeated interventions were significantly more frequently performed in patients undergoing endovascular revascularization. Conclusion: When analyzing the advantages and disadvantages of endovascular and open surgery in patients with diabetes mellitus and critical ischemia, the first should be preferred due to the possibility of repeated repetition throughout the patients life. Particular attention should be paid to conservative therapy and assessment of clinical status in the late postoperative period.
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- 2023
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11. A Control Method Based on Computer Vision and Machine Learning Technologies for Adaptive Systems
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A. D. Obukhov and A. O. Nazarova
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Human-Computer Interaction ,Artificial Intelligence ,Control and Systems Engineering ,Electrical and Electronic Engineering ,Software ,Computer Science Applications - Abstract
We consider the problem of organizing the control process in adaptive systems, in which it is required to ensure the preservation of the optimal state of the system when external conditions change. The analysis of existing approaches to its solution showed grea t promise in the synergistic effect of using machine learning and computer vision technologies. A system analysis of the management process using these technologies has been carried out. Its prim ary objects have been formalized, and the research task has been set. To solve it, a method is proposed, the novelty of which lies in the usage of machine learning and computer vision technologies for recognizing and obtaining a compresse d idea of the state of the observed environment, objects of observation and control. And also, the choice of the control team was unified, based on three approaches: a system of rules, a neural network with classification, and machine learning with reinforcement. All stages of the method are formalized, and the possibility of using machine learning technologies (neural networks) for their i mplementation is theoretically substantiated. The practical significance of the developed method lies in the possibility of automating the activities of a human operator in complex adaptive systems through the use of machine learning and computer vision technologies. The method was tested on the example of an adaptive running platform control system. Experimental stu dies have been carried out to assess the efficiency of the method, its perfor mance and accuracy of work in determining the state of objects of observation using computer vision technologies. The result of the work is the proven high efficiency of the proposed approach. The usage of computer vision and machine learning technologies made it pos sible not only to control the adaptive running platform but also to determine critical situations (falling or sudden stop of a person), which increases the safety of the control system, expands its functionality in monitoring the state of the environment and objec ts of observation
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- 2023
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12. STRUCTURAL MODEL OF A WAREHOUSE COMPLEX MANAGEMENT SYSTEM WITH INTEGRATION OF PREPARATION SUBSYSTEM IN VIRTUAL REALITY
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M. S. Nikolyukin and A. D. Obukhov
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General Medicine - Published
- 2023
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13. Control of adaptive running platform based on machine vision technologies and neural networks
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Artem D. Obukhov, Mikhail N. Krasnyanskiy, Denis L. Dedov, Victoria V. Vostrikova, Daniil V. Teselkin, and Ekaterina O. Surkova
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Artificial Intelligence ,Software - Published
- 2022
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14. Control System for an Adaptive Running Platform for Moving in Virtual Reality
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M. N. Krasnyanskiy, A. D. Obukhov, and D. L. Dedov
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Control and Systems Engineering ,Electrical and Electronic Engineering - Published
- 2022
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15. Data Processing Algorithms in Automatic Control Systems Based on Computer Vision
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A. D. Obukhov, K. I. Patutin, and A. O. Nazarova
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Applied Mathematics - Published
- 2022
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16. THE STUDY OF THE NEGATIVE IMPACT OF VIRTUAL REALITY ON THE HUMAN CONDITION IN THE LEARNING PROCESS
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A. D. Obukhov, A. E. Arkhipov, and A. O. Nazarova
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A study of the degree of influence of negative factors on the physical condition of a person in the course of training with the use of virtual reality was conducted. The main factors of influence of virtual reality on the learning process of specialists were considered. Specialized software was developed to collect the necessary data on the process of interaction with virtual reality. Tests were conducted on a focus group of students and young professionals to calculate the pattern of manifestation of negative factors of virtual reality in the learning process. Based on the collected data, the dynamics of changes in objective indicators of focus group participants was analyzed, and subjective evaluations of users’ quality of interaction with virtual reality were processed. The obtained values of quantitative and qualitative metrics made it possible to assess the success of using virtual reality technologies in the process of training specialists.
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- 2021
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17. Impact of diabetes on the management and outcomes in atrial fibrillation:an analysis from the ESC-EHRA EORP-AF Long-Term General Registry
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Wern Yew Ding, Agnieszka Kotalczyk, Giuseppe Boriani, Francisco Marin, Carina Blomström-Lundqvist, Tatjana S. Potpara, Laurent Fauchier, Gregory.Y.H. Lip, G. Boriani, G.Y.H. Lip, L. Tavazzi, A.P. Maggioni, G.-A. Dan, T. Potpara, M. Nabauer, F. Marin, Z. Kalarus, A. Goda, G. Mairesse, T. Shalganov, L. Antoniades, M. Taborsky, S. Riahi, P. Muda, I. García Bolao, O. Piot, K. Etsadashvili, E. Simantirakis, M. Haim, A. Azhari, J. Najafian, M. Santini, E. Mirrakhimov, K.A. Kulzida, A. Erglis, L. Poposka, M. Burg, H. Crijns, Ö. Erküner, D. Atar, R. Lenarczyk, M. Martins Oliveira, D. Shah, E. Serdechnaya, E. Diker, D. Lane, E. Zëra, U. Ekmekçiu, V. Paparisto, M. Tase, H. Gjergo, J. Dragoti, M. Ciutea, N. Ahadi, Z. el Husseini, M. Raepers, J. Leroy, P. Haushan, A. Jourdan, C. Lepiece, L. Desteghe, J. Vijgen, P. Koopman, G. Van Genechten, H. Heidbuchel, T. Boussy, M. De Coninck, H. Van Eeckhoutte, N. Bouckaert, A. Friart, J. Boreux, C. Arend, P. Evrard, L. Stefan, E. Hoffer, J. Herzet, M. Massoz, C. Celentano, M. Sprynger, L. Pierard, P. Melon, B. Van Hauwaert, C. Kuppens, D. Faes, D. Van Lier, A. Van Dorpe, A. Gerardy, O. Deceuninck, O. Xhaet, F. Dormal, E. Ballant, D. Blommaert, D. Yakova, M. Hristov, T. Yncheva, N. Stancheva, S. Tisheva, M. Tokmakova, F. Nikolov, D. Gencheva, B. Kunev, M. Stoyanov, D. Marchov, V. Gelev, V. Traykov, A. Kisheva, H. Tsvyatkov, R. Shtereva, S. Bakalska-Georgieva, S. Slavcheva, Y. Yotov, M. Kubíčková, A. Marni Joensen, A. Gammelmark, L. Hvilsted Rasmussen, P. Dinesen, S. Krogh Venø, B. Sorensen, A. Korsgaard, K. Andersen, C. Fragtrup Hellum, A. Svenningsen, O. Nyvad, P. Wiggers, O. May, A. Aarup, B. Graversen, L. Jensen, M. Andersen, M. Svejgaard, S. Vester, S. Hansen, V. Lynggaard, M. Ciudad, R. Vettus, A. Maestre, S. Castaño, S. Cheggour, J. Poulard, V. Mouquet, S. Leparrée, J. Bouet, J. Taieb, A. Doucy, H. Duquenne, A. Furber, J. Dupuis, J. Rautureau, M. Font, P. Damiano, M. Lacrimini, J. Abalea, S. Boismal, T. Menez, J. Mansourati, G. Range, H. Gorka, C. Laure, C. Vassalière, N. Elbaz, N. Lellouche, K. Djouadi, F. Roubille, D. Dietz, J. Davy, M. Granier, P. Winum, C. Leperchois-Jacquey, H. Kassim, E. Marijon, J. Le Heuzey, J. Fedida, C. Maupain, C. Himbert, E. Gandjbakhch, F. Hidden-Lucet, G. Duthoit, N. Badenco, T. Chastre, X. Waintraub, M. Oudihat, J. Lacoste, C. Stephan, H. Bader, N. Delarche, L. Giry, D. Arnaud, C. Lopez, F. Boury, I. Brunello, M. Lefèvre, R. Mingam, M. Haissaguerre, M. Le Bidan, D. Pavin, V. Le Moal, C. Leclercq, T. Beitar, I. Martel, A. Schmid, N. Sadki, C. Romeyer-Bouchard, A. Da Costa, I. Arnault, M. Boyer, C. Piat, N. Lozance, S. Nastevska, A. Doneva, B. Fortomaroska Milevska, B. Sheshoski, K. Petroska, N. Taneska, N. Bakrecheski, K. Lazarovska, S. Jovevska, V. Ristovski, A. Antovski, E. Lazarova, I. Kotlar, J. Taleski, S. Kedev, N. Zlatanovik, S. Jordanova, T. Bajraktarova Proseva, S. Doncovska, D. Maisuradze, A. Esakia, E. Sagirashvili, K. Lartsuliani, N. Natelashvili, N. Gumberidze, R. Gvenetadze, N. Gotonelia, N. Kuridze, G. Papiashvili, I. Menabde, S. Glöggler, A. Napp, C. Lebherz, H. Romero, K. Schmitz, M. Berger, M. Zink, S. Köster, J. Sachse, E. Vonderhagen, G. Soiron, K. Mischke, R. Reith, M. Schneider, W. Rieker, D. Boscher, A. Taschareck, A. Beer, D. Oster, O. Ritter, J. Adamczewski, S. Walter, A. Frommhold, E. Luckner, J. Richter, M. Schellner, S. Landgraf, S. Bartholome, R. Naumann, J. Schoeler, D. Westermeier, F. William, K. Wilhelm, M. Maerkl, R. Oekinghaus, M. Denart, M. Kriete, U. Tebbe, T. Scheibner, M. Gruber, A. Gerlach, C. Beckendorf, L. Anneken, M. Arnold, S. Lengerer, Z. Bal, C. Uecker, H. Förtsch, S. Fechner, V. Mages, E. Martens, H. Methe, T. Schmidt, B. Schaeffer, B. Hoffmann, J. Moser, K. Heitmann, S. Willems, C. Klaus, I. Lange, M. Durak, E. Esen, F. Mibach, H. Mibach, A. Utech, M. Gabelmann, R. Stumm, V. Ländle, C. Gartner, C. Goerg, N. Kaul, S. Messer, D. Burkhardt, C. Sander, R. Orthen, S. Kaes, A. Baumer, F. Dodos, A. Barth, G. Schaeffer, J. Gaertner, J. Winkler, A. Fahrig, J. Aring, I. Wenzel, S. Steiner, A. Kliesch, E. Kratz, K. Winter, P. Schneider, A. Haag, I. Mutscher, R. Bosch, J. Taggeselle, S. Meixner, A. Schnabel, A. Shamalla, H. Hötz, A. Korinth, C. Rheinert, G. Mehltretter, B. Schön, N. Schön, A. Starflinger, E. Englmann, G. Baytok, T. Laschinger, G. Ritscher, A. Gerth, D. Dechering, L. Eckardt, M. Kuhlmann, N. Proskynitopoulos, J. Brunn, K. Foth, C. Axthelm, H. Hohensee, K. Eberhard, S. Turbanisch, N. Hassler, A. Koestler, G. Stenzel, D. Kschiwan, M. Schwefer, S. Neiner, S. Hettwer, M. Haeussler-Schuchardt, R. Degenhardt, S. Sennhenn, M. Brendel, A. Stoehr, W. Widjaja, S. Loehndorf, A. Logemann, J. Hoskamp, J. Grundt, M. Block, R. Ulrych, A. Reithmeier, V. Panagopoulos, C. Martignani, D. Bernucci, E. Fantecchi, I. Diemberger, M. Ziacchi, M. Biffi, P. Cimaglia, J. Frisoni, I. Giannini, S. Boni, S. Fumagalli, S. Pupo, A. Di Chiara, P. Mirone, F. Pesce, C. Zoccali, V.L. Malavasi, A. Mussagaliyeva, B. Ahyt, Z. Salihova, K. Koshum-Bayeva, A. Kerimkulova, A. Bairamukova, B. Lurina, R. Zuzans, S. Jegere, I. Mintale, K. Kupics, K. Jubele, O. Kalejs, K. Vanhear, M. Cachia, E. Abela, S. Warwicker, T. Tabone, R. Xuereb, D. Asanovic, D. Drakalovic, M. Vukmirovic, N. Pavlovic, L. Music, N. Bulatovic, A. Boskovic, H. Uiterwaal, N. Bijsterveld, J. De Groot, J. Neefs, N. van den Berg, F. Piersma, A. Wilde, V. Hagens, J. Van Es, J. Van Opstal, B. Van Rennes, H. Verheij, W. Breukers, G. Tjeerdsma, R. Nijmeijer, D. Wegink, R. Binnema, S. Said, S. Philippens, W. van Doorn, T. Szili-Torok, R. Bhagwandien, P. Janse, A. Muskens, M. van Eck, R. Gevers, N. van der Ven, A. Duygun, B. Rahel, J. Meeder, A. Vold, C. Holst Hansen, I. Engset, B. Dyduch-Fejklowicz, E. Koba, M. Cichocka, A. Sokal, A. Kubicius, E. Pruchniewicz, A. Kowalik-Sztylc, W. Czapla, I. Mróz, M. Kozlowski, T. Pawlowski, M. Tendera, A. Winiarska-Filipek, A. Fidyk, A. Slowikowski, M. Haberka, M. Lachor-Broda, M. Biedron, Z. Gasior, M. Kołodziej, M. Janion, I. Gorczyca-Michta, B. Wozakowska-Kaplon, M. Stasiak, P. Jakubowski, T. Ciurus, J. Drozdz, M. Simiera, P. Zajac, T. Wcislo, P. Zycinski, J. Kasprzak, A. Olejnik, E. Harc-Dyl, J. Miarka, M. Pasieka, M. Ziemińska-Łuć, W. Bujak, A. Śliwiński, A. Grech, J. Morka, K. Petrykowska, M. Prasał, G. Hordyński, P. Feusette, P. Lipski, A. Wester, W. Streb, J. Romanek, P. Woźniak, M. Chlebuś, P. Szafarz, W. Stanik, M. Zakrzewski, J. Kaźmierczak, A. Przybylska, E. Skorek, H. Błaszczyk, M. Stępień, S. Szabowski, W. Krysiak, M. Szymańska, J. Karasiński, J. Blicharz, M. Skura, K. Hałas, L. Michalczyk, Z. Orski, K. Krzyżanowski, A. Skrobowski, L. Zieliński, M. Tomaszewska-Kiecana, M. Dłużniewski, M. Kiliszek, M. Peller, M. Budnik, P. Balsam, G. Opolski, A. Tymińska, K. Ozierański, A. Wancerz, A. Borowiec, E. Majos, R. Dabrowski, H. Szwed, A. Musialik-Lydka, A. Leopold-Jadczyk, E. Jedrzejczyk-Patej, M. Koziel, M. Mazurek, K. Krzemien-Wolska, P. Starosta, E. Nowalany-Kozielska, A. Orzechowska, M. Szpot, M. Staszel, S. Almeida, H. Pereira, L. Brandão Alves, R. Miranda, L. Ribeiro, F. Costa, F. Morgado, P. Carmo, P. Galvao Santos, R. Bernardo, P. Adragão, G. Ferreira da Silva, M. Peres, M. Alves, M. Leal, A. Cordeiro, P. Magalhães, P. Fontes, S. Leão, A. Delgado, A. Costa, B. Marmelo, B. Rodrigues, D. Moreira, J. Santos, L. Santos, A. Terchet, D. Darabantiu, S. Mercea, V. Turcin Halka, A. Pop Moldovan, A. Gabor, B. Doka, G. Catanescu, H. Rus, L. Oboroceanu, E. Bobescu, R. Popescu, A. Dan, A. Buzea, I. Daha, G. Dan, I. Neuhoff, M. Baluta, R. Ploesteanu, N. Dumitrache, M. Vintila, A. Daraban, C. Japie, E. Badila, H. Tewelde, M. Hostiuc, S. Frunza, E. Tintea, D. Bartos, A. Ciobanu, I. Popescu, N. Toma, C. Gherghinescu, D. Cretu, N. Patrascu, C. Stoicescu, C. Udroiu, G. Bicescu, V. Vintila, D. Vinereanu, M. Cinteza, R. Rimbas, M. Grecu, A. Cozma, F. Boros, M. Ille, O. Tica, R. Tor, A. Corina, A. Jeewooth, B. Maria, C. Georgiana, C. Natalia, D. Alin, D. Dinu-Andrei, M. Livia, R. Daniela, R. Larisa, S. Umaar, T. Tamara, M. Ioachim Popescu, D. Nistor, I. Sus, O. Coborosanu, N. Alina-Ramona, R. Dan, L. Petrescu, G. Ionescu, C. Vacarescu, E. Goanta, M. Mangea, A. Ionac, C. Mornos, D. Cozma, S. Pescariu, E. Solodovnicova, I. Soldatova, J. Shutova, L. Tjuleneva, T. Zubova, V. Uskov, D. Obukhov, G. Rusanova, N. Isakova, S. Odinsova, T. Arhipova, E. Kazakevich, O. Zavyalova, T. Novikova, I. Riabaia, S. Zhigalov, E. Drozdova, I. Luchkina, Y. Monogarova, D. Hegya, L. Rodionova, V. Nevzorova, O. Lusanova, A. Arandjelovic, D. Toncev, L. Vukmirovic, M. Radisavljevic, M. Milanov, N. Sekularac, M. Zdravkovic, S. Hinic, S. Dimkovic, T. Acimovic, J. Saric, S. Radovanovic, A. Kocijancic, B. Obrenovic-Kircanski, D. Kalimanovska Ostric, D. Simic, I. Jovanovic, I. Petrovic, M. Polovina, M. Vukicevic, M. Tomasevic, N. Mujovic, N. Radivojevic, O. Petrovic, S. Aleksandric, V. Kovacevic, Z. Mijatovic, B. Ivanovic, M. Tesic, A. Ristic, B. Vujisic-Tesic, M. Nedeljkovic, A. Karadzic, A. Uscumlic, M. Prodanovic, M. Zlatar, M. Asanin, B. Bisenic, V. Vasic, Z. Popovic, D. Djikic, M. Sipic, V. Peric, B. Dejanovic, N. Milosevic, S. Backovic, A. Stevanovic, A. Andric, B. Pencic, M. Pavlovic-Kleut, V. Celic, M. Pavlovic, M. Petrovic, M. Vuleta, N. Petrovic, S. Simovic, Z. Savovic, S. Milanov, G. Davidovic, V. Iric-Cupic, D. Djordjevic, M. Damjanovic, S. Zdravkovic, V. Topic, D. Stanojevic, M. Randjelovic, R. Jankovic-Tomasevic, V. Atanaskovic, S. Antic, D. Simonovic, M. Stojanovic, S. Stojanovic, V. Mitic, V. Ilic, D. Petrovic, M. Deljanin Ilic, S. Ilic, V. Stoickov, S. Markovic, A. Mijatovic, D. Tanasic, G. Radakovic, J. Peranovic, N. Panic-Jelic, O. Vujadinovic, P. Pajic, S. Bekic, S. Kovacevic, A. García Fernandez, A. Perez Cabeza, M. Anguita, L. Tercedor Sanchez, E. Mau, J. Loayssa, M. Ayarra, M. Carpintero, I. Roldán Rabadan, M. Gil Ortega, A. Tello Montoliu, E. Orenes Piñero, S. Manzano Fernández, F. Marín, A. Romero Aniorte, A. Veliz Martínez, M. Quintana Giner, G. Ballesteros, M. Palacio, O. Alcalde, I. García-Bolao, V. Bertomeu Gonzalez, F. Otero-Raviña, J. García Seara, J. Gonzalez Juanatey, N. Dayal, P. Maziarski, P. Gentil-Baron, M. Koç, E. Onrat, I.E. Dural, K. Yilmaz, B. Özin, S. Tan Kurklu, Y. Atmaca, U. Canpolat, L. Tokgozoglu, A.K. Dolu, B. Demirtas, D. Sahin, O. Ozcan Celebi, G. Gagirci, U.O. Turk, H. Ari, N. Polat, N. Toprak, M. Sucu, O. Akin Serdar, A. Taha Alper, A. Kepez, Y. Yuksel, A. Uzunselvi, S. Yuksel, M. Sahin, O. Kayapinar, T. Ozcan, H. Kaya, M.B. Yilmaz, M. Kutlu, M. Demir, C. Gibbs, S. Kaminskiene, M. Bryce, A. Skinner, G. Belcher, J. Hunt, L. Stancombe, B. Holbrook, C. Peters, S. Tettersell, A. Shantsila, K. Senoo, M. Proietti, K. Russell, P. Domingos, S. Hussain, J. Partridge, R. Haynes, S. Bahadur, R. Brown, S. McMahon, J. McDonald, K. Balachandran, R. Singh, S. Garg, H. Desai, K. Davies, W. Goddard, G. Galasko, I. Rahman, Y. Chua, O. Payne, S. Preston, O. Brennan, L. Pedley, C. Whiteside, C. Dickinson, J. Brown, K. Jones, L. Benham, R. Brady, L. Buchanan, A. Ashton, H. Crowther, H. Fairlamb, S. Thornthwaite, C. Relph, A. McSkeane, U. Poultney, N. Kelsall, P. Rice, T. Wilson, M. Wrigley, R. Kaba, T. Patel, E. Young, J. Law, C. Runnett, H. Thomas, H. McKie, J. Fuller, S. Pick, A. Sharp, A. Hunt, K. Thorpe, C. Hardman, E. Cusack, L. Adams, M. Hough, S. Keenan, A. Bowring, J. Watts, J. Zaman, K. Goffin, H. Nutt, Y. Beerachee, J. Featherstone, C. Mills, J. Pearson, L. Stephenson, S. Grant, A. Wilson, C. Hawksworth, I. Alam, M. Robinson, S. Ryan, R. Egdell, E. Gibson, M. Holland, D. Leonard, B. Mishra, S. Ahmad, H. Randall, J. Hill, L. Reid, M. George, S. McKinley, L. Brockway, W. Milligan, J. Sobolewska, J. Muir, L. Tuckis, L. Winstanley, P. Jacob, S. Kaye, L. Morby, A. Jan, T. Sewell, C. Boos, B. Wadams, C. Cope, P. Jefferey, N. Andrews, A. Getty, A. Suttling, C. Turner, K. Hudson, R. Austin, S. Howe, R. Iqbal, N. Gandhi, K. Brophy, P. Mirza, E. Willard, S. Collins, N. Ndlovu, E. Subkovas, V. Karthikeyan, L. Waggett, A. Wood, A. Bolger, J. Stockport, L. Evans, E. Harman, J. Starling, L. Williams, V. Saul, M. Sinha, L. Bell, S. Tudgay, S. Kemp, L. Frost, T. Ingram, A. Loughlin, C. Adams, M. Adams, F. Hurford, C. Owen, C. Miller, D. Donaldson, H. Tivenan, H. Button, A. Nasser, O. Jhagra, B. Stidolph, C. Brown, C. Livingstone, M. Duffy, P. Madgwick, P. Roberts, E. Greenwood, L. Fletcher, M. Beveridge, S. Earles, D. McKenzie, D. Beacock, M. Dayer, M. Seddon, D. Greenwell, F. Luxton, F. Venn, H. Mills, J. Rewbury, K. James, K. Roberts, L. Tonks, D. Felmeden, W. Taggu, A. Summerhayes, D. Hughes, J. Sutton, L. Felmeden, M. Khan, E. Walker, L. Norris, L. O'Donohoe, A. Mozid, H. Dymond, H. Lloyd-Jones, G. Saunders, D. Simmons, D. Coles, D. Cotterill, S. Beech, S. Kidd, B. Wrigley, S. Petkar, A. Smallwood, R. Jones, E. Radford, S. Milgate, S. Metherell, V. Cottam, C. Buckley, A. Broadley, D. Wood, J. Allison, K. Rennie, L. Balian, L. Howard, L. Pippard, S. Board, T. Pitt-Kerby, Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), Océan du Large et Variabilité Climatique (OLVAC), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Uppsala University, University of Belgrade [Belgrade], CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Éducation Éthique Santé EA 7505 (EES), and Université de Tours (UT)
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Kardiologi ,General Practice ,Cohort ,Anticoagulants ,MACE ,Endocrinology and Diabetes ,Prognosis ,[SHS]Humanities and Social Sciences ,Allmänmedicin ,Stroke ,Risk Factors ,Healthcare resource utilisation ,Mortality ,Prevalence ,Endokrinologi och diabetes ,Atrial Fibrillation ,Internal Medicine ,Diabetes Mellitus ,Quality of Life ,Humans ,Cardiac and Cardiovascular Systems ,Prospective Studies ,Registries ,Aged - Abstract
BACKGROUND: The prevalence of atrial fibrillation(AF) and diabetes mellitus is rising to epidemic proportions. We aimed to assess the impact of diabetes on the management and outcomes of patients with AF.METHODS: The EORP-AF General Long-Term Registry is a prospective, observational registry from 250 centres across 27 European countries. Outcomes of interest were as follows: i)rhythm control interventions; ii)quality of life; iii)healthcare resource utilisation; and iv)major adverse events.RESULTS: Of 11,028 patients with AF, the median age was 71 (63-77) years and 2537 (23.0%) had diabetes. Median follow-up was 24 months. Diabetes was related to increased use of anticoagulation but less rhythm control interventions. Using multivariable analysis, at 2-year follow-up, patients with diabetes were associated with greater levels of anxiety (p = 0.038) compared to those without diabetes. Overall, diabetes was associated with worse health during follow-up, as indicated by Health Utility Score and Visual Analogue Scale. Healthcare resource utilisation was greater with diabetes in terms of length of hospital stay (8.1 (±8.2) vs. 6.1 (±6.7) days); cardiology and internal medicine/general practitioner visits; and emergency room admissions. Diabetes was an independent risk factor of major adverse cardiovascular event (MACE; HR 1.26 [95% CI, 1.04-1.52]), all-cause mortality (HR 1.28 [95% CI, 1.08-1.52]), and cardiovascular mortality (HR 1.41 [95% CI, 1.09-1.83]).CONCLUSION: In this contemporary AF cohort, diabetes was present in 1 in 4 patients and it served as an independent risk factor for reduced quality of life, greater healthcare resource utilisation and excess MACE, all-cause mortality and cardiovascular mortality. There was increased use of anticoagulation therapy in diabetes but with less rhythm control interventions.
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- 2022
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18. The study of virtual reality influence on the process of professional training of miners
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Artem D. Obukhov, Mikhail N. Krasnyanskiy, Denis L. Dedov, and Alexandra O. Nazarova
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Human-Computer Interaction ,Computer Graphics and Computer-Aided Design ,Software - Abstract
Virtual reality technologies are actively applied for the organization of professional training in various industries, as well as in distance learning. However, numerous studies show the presence of a large number of negative factors that limit the effectiveness of using these technologies (united by the concept of "cybersickness"). The study, identification and reduction in the influence of these negative factors will increase the immersiveness and quality of the professional training process. Within the framework of this study, several hypotheses have been put forward regarding the negative and positive impact of VR technologies on the process of professional training, the coal and mining industry has been chosen as the subject area. Thus, the problem of effective training of miners for activities in regular and emergency situations is considered, in the latter case, VR technologies would allow forming the necessary set of skills and knowledge about actions in emergency situations. To confirm the declared hypotheses, an experimental group of 30 people was formed, corresponding to the trained miners by age characteristics. Based on the analysis, a list of quantitative and qualitative metrics for evaluating interaction with virtual reality was formed, the software of virtual scenes for two tasks (moving simple objects and a set of exercises in a virtual mine) was developed. The experimental group repeatedly performed these exercises, which allowed us to analyze the dynamics of changes in the average values of quantitative and qualitative metrics. The data obtained were processed by statistical tests (Shapiro-Wilk, Kruskal-Wallis, Mann-Whitney), which allowed us to assess the impact of the selected configurations (with and without VR) and the number of attempts on the selected metrics. The obtained results partially or completely confirmed the declared hypotheses and allowed us to form a list of recommendations for the organization of high-quality professional training using virtual reality technologies.The online version contains supplementary material available at 10.1007/s10055-022-00687-7.
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- 2022
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19. Mathematical Modeling and Visualization of Combustion Processes in the Training Facilities
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A. D. Obukhov, A. O. Sidorchuk, and A. E. Arkhipov
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Engineering drawing ,Computer science ,Training (meteorology) ,Combustion ,Visualization - Abstract
An important task in the development of training complexes is the implementation of physical processes in virtual space using the example of burning objects. To solve it, an adapted mathematical model is proposed that allows one to formalize the structure of combustion objects, their main properties and processes of changing states, starting from the ignition of the object and ending with their complete destruction or extinguishing. Original diagrams of the life cycle of virtual objects and a system of rules for changing their states have been developed, which allow tracing the entire life cycle of objects and the procedure for changing states. Each state and transition between them are clearly formalized and calculated on the basis of the properties of the object and external influences. The patterns of state change are formalized using a matrix representation of object properties. This approach is distinguished by its versatility and can be used to model other physical processes (smoke, flooding, freezing, spread of toxic gases, etc.). The practical implementation of the combustion process using the apparatus of life cycle diagrams of virtual objects has been carried out. The developed method has been successfully integrated into the Unity development environment. its use made it possible to reliably and efficiently implement the combustion process without losing performance, which is especially important for virtual reality systems.
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- 2021
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20. Analyzing Kinetics of Medicated-Feed Ingredients in a Ball Mixer Mill
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N. V. Zhdanova, V. I. Syrovatka, and A. D. Obukhov
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Centrifugal force ,Psychiatry and Mental health ,Neuropsychology and Physiological Psychology ,Materials science ,Homogeneity (statistics) ,Windage ,Airflow ,Mixing (process engineering) ,Particle ,Aerodynamics ,Mechanics ,Fluidization - Abstract
Surveys were carried out to study the opportunities for increasing homogeneity of a medicated feed mixture, taking into consideration the kinetics (trajectory, speed, and vector) of certain ingredient particles in the material and airflow stream during mixing the medicated feedingstuffs and mineral-and-vitamin premixes in the mixer with a spherical chamber under the centrifugal, aerodynamic, inertial, and Coriolis forces. Separation (division or segregation) of the components in the mixture, depending on their physical and mechanical properties, such as density, particle sizes, coefficients of friction, windage, etc., occurs under the centrifugal force acting on the rotating blade surface. Leaving the blade, the material and airflow stream strikes the bottom cylindrical tank surface and, slowing down, changes its direction of movement through 90° and even 180° at the cover. In addition, the operational conditions for segregation are not limited in the applied mixers with vertical cylindrical tanks, working in the regime of fluidization. The technology and design opportunities for increasing mixture homogeneity have been revealed, since their realization in a single unit can make it possible to increase homogeneity in the medicated feedingstuff up to 95–98%.
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- 2021
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21. INVESTIGATION OF KINETICS OF INGREDIENTS MOVEMENT TREATMENT FEEDS IN BALL MIXER
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N. V. Zhdanova, V. I. Syrovatka, and A. D. Obukhov
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Materials science ,Movement (music) ,Kinetics ,Ball (bearing) ,General Earth and Planetary Sciences ,Composite material ,General Environmental Science - Published
- 2021
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22. NEURAL NETWORK METHOD FOR PREDICTING THE STATE OF INFORMATION OBJECTS
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A. D. Obukhov
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The analysis and process of not only the current states of information objects, but also the prediction of future states with a certain time interval presents a major significance for adaptive information systems. This allows improving the quality and reliability of these systems functioning, reducing the delay in response to external influences, preparing for operations, and increasing the responsiveness and speed of the system. In order to solve this problem, the article proposes a neural network method for forecasting the state of information objects based on the application of machine learning technologies. A formalized algorithm for its implementation in the notation of set theory is presented. A distinctive characteristic of the designed method is the automatic determination of the optimal structure of the neural network, depending on the type of information object. The method also covers the possibility of using the complex of the previous states of the object to improve the forecast accuracy. Practical researches on approbation of the neural network method showed its efficiency and high accuracy. The following popular datasets were used as input data: Individual household electric power consumption, HAR (Human Activity Recognition) accelerometer, as well as gathered data on human relocation. LSTM (Long Short-Term Memory) neural network was applied to conduct the forecasts. The comparison of the developed method with a similar software solution DEvol (DeepEvolution) showed comparable or better indicators in terms of accuracy and time for the problem solution (1.7 times faster on average).
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- 2021
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23. A Settlement Site of the Golden Horde Period in the Area of Ulan-Khol Village in the Lagansky District of the Republic of Kalmykia
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Yuri D. Obukhov, Petr M. Koltsov, and Kazan Federal Universit
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Archeology ,copper coins ,archaeology ,ceramics ,ulan-khol ,Archaeology ,The Republic ,brick ,caravan routes ,Geography ,golden horde period ,Period (geology) ,lcsh:Archaeology ,lcsh:CC1-960 ,14th century ,republic of kalmykia ,Settlement (litigation) - Abstract
The paper discusses a visually identified archaeological site of the Golden Horde period located in an understudied area of the Republic of Kalmykia. The surface finds are represented by fragments of brick ornamented with ceramics, a spindle, copper coins, lead items with direct counterparts in the Golden Horde antiquities of the Lower Volga, Northern Caucasus, Byzantium, and other regions. Brick and slag of melted brick, traces of metal processing in the form of lead splashes and copper smelting waste indicate the presence of craft production in the settlement. The presence of ceramics from the Lower Volga region, North Caucasus and the territory of the Trebizond Empire at the site allows the authors to assume that this was a small settlement possibly located on a caravan route from Majar to Hajji Tarkhan and further to Sarai. In this case, the archaeological site can be interpreted as a caravanserai. The settlement should be studied across wider areas using modern technologies and excavation methods.
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- 2020
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24. ARCHAEOLOGICAL EVIDENCE OF TRADE RELATIONS BETWEEN CENTRAL ASIA AND EASTERN EUROPE IN THE 14TH CENTURY ON THE EXAMPLE OF THE MATERIAL COMPLEX OF THE GOLDEN HORDE TOWN OF MADZHAR (NORTH CAUCASUS RE-GION)
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S. G. Bocharov and Y. D. Obukhov
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- 2022
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25. Cardiac troponins and adverse outcomes in European patients with atrial fibrillation: A report from the ESC-EHRA EORP atrial fibrillation general long-term registry
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Marco Vitolo, Vincenzo L. Malavasi, Marco Proietti, Igor Diemberger, Laurent Fauchier, Francisco Marin, Michael Nabauer, Tatjana S. Potpara, Gheorghe-Andrei Dan, Zbigniew Kalarus, Luigi Tavazzi, Aldo Pietro Maggioni, Deirdre A. Lane, Gregory Y.H. Lip, Giuseppe Boriani, G. Boriani, G.Y.H. Lip, L. Tavazzi, A.P. Maggioni, G-A. Dan, T. Potpara, M. Nabauer, F. Marin, Z. Kalarus, L. Fauchier, A. Goda, G. Mairesse, T. Shalganov, L. Antoniades, M. Taborsky, S. Riahi, P. Muda, I. García Bolao, O. Piot, K. Etsadashvili, M. Haim, A. Azhari, J. Najafian, M. Santini, E. Mirrakhimov, K. Kulzida, A. Erglis, L. Poposka, M.R. Burg, H. Crijns, Ö. Erküner, D. Atar, R. Lenarczyk, M. Martins Oliveira, D. Shah, E. Serdechnaya, E. Diker, E. Zëra, U. Ekmekçiu, V. Paparisto, M. Tase, H. Gjergo, J. Dragoti, M. Ciutea, N. Ahadi, Z. el Husseini, M. Raepers, J. Leroy, P. Haushan, A. Jourdan, C. Lepiece, L. Desteghe, J. Vijgen, P. Koopman, G. Van Genechten, H. Heidbuchel, T. Boussy, M. De Coninck, H. Van Eeckhoutte, N. Bouckaert, A. Friart, J. Boreux, C. Arend, P. Evrard, L. Stefan, E. Hoffer, J. Herzet, M. Massoz, C. Celentano, M. Sprynger, L. Pierard, P. Melon, B. Van Hauwaert, C. Kuppens, D. Faes, D. Van Lier, A. Van Dorpe, A. Gerardy, O. Deceuninck, O. Xhaet, F. Dormal, E. Ballant, D. Blommaert, D. Yakova, M. Hristov, T. Yncheva, N. Stancheva, S. Tisheva, M. Tokmakova, F. Nikolov, D. Gencheva, B. Kunev, M. Stoyanov, D. Marchov, V. Gelev, V. Traykov, A. Kisheva, H. Tsvyatkov, R. Shtereva, S. Bakalska-Georgieva, S. Slavcheva, Y. Yotov, M. Kubíčková, A. Marni Joensen, A. Gammelmark, L. Hvilsted Rasmussen, P. Dinesen, S. Krogh Venø, B. Sorensen, A. Korsgaard, K. Andersen, C. Fragtrup Hellum, A. Svenningsen, O. Nyvad, P. Wiggers, O. May, A. Aarup, B. Graversen, L. Jensen, M. Andersen, M. Svejgaard, S. Vester, S. Hansen, V. Lynggaard, M. Ciudad, R. Vettus, A. Maestre, S. Castaño, S. Cheggour, J. Poulard, V. Mouquet, S. Leparrée, J. Bouet, J. Taieb, A. Doucy, H. Duquenne, A. Furber, J. Dupuis, J. Rautureau, M. Font, P. Damiano, M. Lacrimini, J. Abalea, S. Boismal, T. Menez, J. Mansourati, G. Range, H. Gorka, C. Laure, C. Vassalière, N. Elbaz, N. Lellouche, K. Djouadi, F. Roubille, D. Dietz, J. Davy, M. Granier, P. Winum, C. Leperchois-Jacquey, H. Kassim, E. Marijon, J. Le Heuzey, J. Fedida, C. Maupain, C. Himbert, E. Gandjbakhch, F. Hidden-Lucet, G. Duthoit, N. Badenco, T. Chastre, X. Waintraub, M. Oudihat, J. Lacoste, C. Stephan, H. Bader, N. Delarche, L. Giry, D. Arnaud, C. Lopez, F. Boury, I. Brunello, M. Lefèvre, R. Mingam, M. Haissaguerre, M. Le Bidan, D. Pavin, V. Le Moal, C. Leclercq, T. Beitar, I. Martel, A. Schmid, N. Sadki, C. Romeyer-Bouchard, A. Da Costa, I. Arnault, M. Boyer, C. Piat, N. Lozance, S. Nastevska, A. Doneva, B. Fortomaroska Milevska, B. Sheshoski, K. Petroska, N. Taneska, N. Bakrecheski, K. Lazarovska, S. Jovevska, V. Ristovski, A. Antovski, E. Lazarova, I. Kotlar, J. Taleski, S. Kedev, N. Zlatanovik, S. Jordanova, T. Bajraktarova Proseva, S. Doncovska, D. Maisuradze, A. Esakia, E. Sagirashvili, K. Lartsuliani, N. Natelashvili, N. Gumberidze, R. Gvenetadze, N. Gotonelia, N. Kuridze, G. Papiashvili, I. Menabde, S. Glöggler, A. Napp, C. Lebherz, H. Romero, K. Schmitz, M. Berger, M. Zink, S. Köster, J. Sachse, E. Vonderhagen, G. Soiron, K. Mischke, R. Reith, M. Schneider, W. Rieker, D. Boscher, A. Taschareck, A. Beer, D. Oster, O. Ritter, J. Adamczewski, S. Walter, A. Frommhold, E. Luckner, J. Richter, M. Schellner, S. Landgraf, S. Bartholome, R. Naumann, J. Schoeler, D. Westermeier, F. William, K. Wilhelm, M. Maerkl, R. Oekinghaus, M. Denart, M. Kriete, U. Tebbe, T. Scheibner, M. Gruber, A. Gerlach, C. Beckendorf, L. Anneken, M. Arnold, S. Lengerer, Z. Bal, C. Uecker, H. Förtsch, S. Fechner, V. Mages, E. Martens, H. Methe, T. Schmidt, B. Schaeffer, B. Hoffmann, J. Moser, K. Heitmann, S. Willems, C. Klaus, I. Lange, M. Durak, E. Esen, F. Mibach, H. Mibach, A. Utech, M. Gabelmann, R. Stumm, V. Ländle, C. Gartner, C. Goerg, N. Kaul, S. Messer, D. Burkhardt, C. Sander, R. Orthen, S. Kaes, A. Baumer, F. Dodos, A. Barth, G. Schaeffer, J. Gaertner, J. Winkler, A. Fahrig, J. Aring, I. Wenzel, S. Steiner, A. Kliesch, E. Kratz, K. Winter, P. Schneider, A. Haag, I. Mutscher, R. Bosch, J. Taggeselle, S. Meixner, A. Schnabel, A. Shamalla, H. Hötz, A. Korinth, C. Rheinert, G. Mehltretter, B. Schön, N. Schön, A. Starflinger, E. Englmann, G. Baytok, T. Laschinger, G. Ritscher, A. Gerth, D. Dechering, L. Eckardt, M. Kuhlmann, N. Proskynitopoulos, J. Brunn, K. Foth, C. Axthelm, H. Hohensee, K. Eberhard, S. Turbanisch, N. Hassler, A. Koestler, G. Stenzel, D. Kschiwan, M. Schwefer, S. Neiner, S. Hettwer, M. Haeussler-Schuchardt, R. Degenhardt, S. Sennhenn, M. Brendel, A. Stoehr, W. Widjaja, S. Loehndorf, A. Logemann, J. Hoskamp, J. Grundt, M. Block, R. Ulrych, A. Reithmeier, V. Panagopoulos, C. Martignani, D. Bernucci, E. Fantecchi, I. Diemberger, M. Ziacchi, M. Biffi, P. Cimaglia, J. Frisoni, I. Giannini, S. Boni, S. Fumagalli, S. Pupo, A. Di Chiara, P. Mirone, F. Pesce, C. Zoccali, V.L. Malavasi, A. Mussagaliyeva, B. Ahyt, Z. Salihova, K. Koshum-Bayeva, A. Kerimkulova, A. Bairamukova, B. Lurina, R. Zuzans, S. Jegere, I. Mintale, K. Kupics, K. Jubele, O. Kalejs, K. Vanhear, M. Burg, M. Cachia, E. Abela, S. Warwicker, T. Tabone, R. Xuereb, D. Asanovic, D. Drakalovic, M. Vukmirovic, N. Pavlovic, L. Music, N. Bulatovic, A. Boskovic, H. Uiterwaal, N. Bijsterveld, J. De Groot, J. Neefs, N. van den Berg, F. Piersma, A. Wilde, V. Hagens, J. Van Es, J. Van Opstal, B. Van Rennes, H. Verheij, W. Breukers, G. Tjeerdsma, R. Nijmeijer, D. Wegink, R. Binnema, S. Said, S. Philippens, W. van Doorn, T. Szili-Torok, R. Bhagwandien, P. Janse, A. Muskens, M. van Eck, R. Gevers, N. van der Ven, A. Duygun, B. Rahel, J. Meeder, A. Vold, C. Holst Hansen, I. Engset, B. Dyduch-Fejklowicz, E. Koba, M. Cichocka, A. Sokal, A. Kubicius, E. Pruchniewicz, A. Kowalik-Sztylc, W. Czapla, I. Mróz, M. Kozlowski, T. Pawlowski, M. Tendera, A. Winiarska-Filipek, A. Fidyk, A. Slowikowski, M. Haberka, M. Lachor-Broda, M. Biedron, Z. Gasior, M. Kołodziej, M. Janion, I. Gorczyca-Michta, B. Wozakowska-Kaplon, M. Stasiak, P. Jakubowski, T. Ciurus, J. Drozdz, M. Simiera, P. Zajac, T. Wcislo, P. Zycinski, J. Kasprzak, A. Olejnik, E. Harc-Dyl, J. Miarka, M. Pasieka, M. Ziemińska-Łuć, W. Bujak, A. Śliwiński, A. Grech, J. Morka, K. Petrykowska, M. Prasał, G. Hordyński, P. Feusette, P. Lipski, A. Wester, W. Streb, J. Romanek, P. Woźniak, M. Chlebuś, P. Szafarz, W. Stanik, M. Zakrzewski, J. Kaźmierczak, A. Przybylska, E. Skorek, H. Błaszczyk, M. Stępień, S. Szabowski, W. Krysiak, M. Szymańska, J. Karasiński, J. Blicharz, M. Skura, K. Hałas, L. Michalczyk, Z. Orski, K. Krzyżanowski, A. Skrobowski, L. Zieliński, M. Tomaszewska-Kiecana, M. Dłużniewski, M. Kiliszek, M. Peller, M. Budnik, P. Balsam, G. Opolski, A. Tymińska, K. Ozierański, A. Wancerz, A. Borowiec, E. Majos, R. Dabrowski, H. Szwed, A. Musialik-Lydka, A. Leopold-Jadczyk, E. Jedrzejczyk-Patej, M. Koziel, M. Mazurek, K. Krzemien-Wolska, P. Starosta, E. Nowalany-Kozielska, A. Orzechowska, M. Szpot, M. Staszel, S. Almeida, H. Pereira, L. Brandão Alves, R. Miranda, L. Ribeiro, F. Costa, F. Morgado, P. Carmo, P. Galvao Santos, R. Bernardo, P. Adragão, G. Ferreira da Silva, M. Peres, M. Alves, M. Leal, A. Cordeiro, P. Magalhães, P. Fontes, S. Leão, A. Delgado, A. Costa, B. Marmelo, B. Rodrigues, D. Moreira, J. Santos, L. Santos, A. Terchet, D. Darabantiu, S. Mercea, V. Turcin Halka, A. Pop Moldovan, A. Gabor, B. Doka, G. Catanescu, H. Rus, L. Oboroceanu, E. Bobescu, R. Popescu, A. Dan, A. Buzea, I. Daha, G. Dan, I. Neuhoff, M. Baluta, R. Ploesteanu, N. Dumitrache, M. Vintila, A. Daraban, C. Japie, E. Badila, H. Tewelde, M. Hostiuc, S. Frunza, E. Tintea, D. Bartos, A. Ciobanu, I. Popescu, N. Toma, C. Gherghinescu, D. Cretu, N. Patrascu, C. Stoicescu, C. Udroiu, G. Bicescu, V. Vintila, D. Vinereanu, M. Cinteza, R. Rimbas, M. Grecu, A. Cozma, F. Boros, M. Ille, O. Tica, R. Tor, A. Corina, A. Jeewooth, B. Maria, C. Georgiana, C. Natalia, D. Alin, D. Dinu-Andrei, M. Livia, R. Daniela, R. Larisa, S. Umaar, T. Tamara, M. Ioachim Popescu, D. Nistor, I. Sus, O. Coborosanu, N. Alina-Ramona, R. Dan, L. Petrescu, G. Ionescu, C. Vacarescu, E. Goanta, M. Mangea, A. Ionac, C. Mornos, D. Cozma, S. Pescariu, E. Solodovnicova, I. Soldatova, J. Shutova, L. Tjuleneva, T. Zubova, V. Uskov, D. Obukhov, G. Rusanova, N. Isakova, S. Odinsova, T. Arhipova, E. Kazakevich, O. Zavyalova, T. Novikova, I. Riabaia, S. Zhigalov, E. Drozdova, I. Luchkina, Y. Monogarova, D. Hegya, L. Rodionova, V. Nevzorova, O. Lusanova, A. Arandjelovic, D. Toncev, L. Vukmirovic, M. Radisavljevic, M. Milanov, N. Sekularac, M. Zdravkovic, S. Hinic, S. Dimkovic, T. Acimovic, J. Saric, S. Radovanovic, A. Kocijancic, B. Obrenovic-Kircanski, D. Kalimanovska Ostric, D. Simic, I. Jovanovic, I. Petrovic, M. Polovina, M. Vukicevic, M. Tomasevic, N. Mujovic, N. Radivojevic, O. Petrovic, S. Aleksandric, V. Kovacevic, Z. Mijatovic, B. Ivanovic, M. Tesic, A. Ristic, B. Vujisic-Tesic, M. Nedeljkovic, A. Karadzic, A. Uscumlic, M. Prodanovic, M. Zlatar, M. Asanin, B. Bisenic, V. Vasic, Z. Popovic, D. Djikic, M. Sipic, V. Peric, B. Dejanovic, N. Milosevic, S. Backovic, A. Stevanovic, A. Andric, B. Pencic, M. Pavlovic-Kleut, V. Celic, M. Pavlovic, M. Petrovic, M. Vuleta, N. Petrovic, S. Simovic, Z. Savovic, S. Milanov, G. Davidovic, V. Iric-Cupic, D. Djordjevic, M. Damjanovic, S. Zdravkovic, V. Topic, D. Stanojevic, M. Randjelovic, R. Jankovic-Tomasevic, V. Atanaskovic, S. Antic, D. Simonovic, M. Stojanovic, S. Stojanovic, V. Mitic, V. Ilic, D. Petrovic, M. Deljanin Ilic, S. Ilic, V. Stoickov, S. Markovic, A. Mijatovic, D. Tanasic, G. Radakovic, J. Peranovic, N. Panic-Jelic, O. Vujadinovic, P. Pajic, S. Bekic, S. Kovacevic, A. García Fernandez, A. Perez Cabeza, M. Anguita, L. Tercedor Sanchez, E. Mau, J. Loayssa, M. Ayarra, M. Carpintero, I. Roldán Rabadan, M. Gil Ortega, A. Tello Montoliu, E. Orenes Piñero, S. Manzano Fernández, F. Marín, A. Romero Aniorte, A. Veliz Martínez, M. Quintana Giner, G. Ballesteros, M. Palacio, O. Alcalde, I. García-Bolao, V. Bertomeu Gonzalez, F. Otero-Raviña, J. García Seara, J. Gonzalez Juanatey, N. Dayal, P. Maziarski, P. Gentil-Baron, M. Koç, E. Onrat, I.E. Dural, K. Yilmaz, B. Özin, S. Tan Kurklu, Y. Atmaca, U. Canpolat, L. Tokgozoglu, A.K. Dolu, B. Demirtas, D. Sahin, O. Ozcan Celebi, G. Gagirci, U.O. Turk, H. Ari, N. Polat, N. Toprak, M. Sucu, O. Akin Serdar, A. Taha Alper, A. Kepez, Y. Yuksel, A. Uzunselvi, S. Yuksel, M. Sahin, O. Kayapinar, T. Ozcan, H. Kaya, M.B. Yilmaz, M. Kutlu, M. Demir, C. Gibbs, S. Kaminskiene, M. Bryce, A. Skinner, G. Belcher, J. Hunt, L. Stancombe, B. Holbrook, C. Peters, S. Tettersell, A. Shantsila, D. Lane, K. Senoo, M. Proietti, K. Russell, P. Domingos, S. Hussain, J. Partridge, R. Haynes, S. Bahadur, R. Brown, S. McMahon, J. McDonald, K. Balachandran, R. Singh, S. Garg, H. Desai, K. Davies, W. Goddard, G. Galasko, I. Rahman, Y. Chua, O. Payne, S. Preston, O. Brennan, L. Pedley, C. Whiteside, C. Dickinson, J. Brown, K. Jones, L. Benham, R. Brady, L. Buchanan, A. Ashton, H. Crowther, H. Fairlamb, S. Thornthwaite, C. Relph, A. McSkeane, U. Poultney, N. Kelsall, P. Rice, T. Wilson, M. Wrigley, R. Kaba, T. Patel, E. Young, J. Law, C. Runnett, H. Thomas, H. McKie, J. Fuller, S. Pick, A. Sharp, A. Hunt, K. Thorpe, C. Hardman, E. Cusack, L. Adams, M. Hough, S. Keenan, A. Bowring, J. Watts, J. Zaman, K. Goffin, H. Nutt, Y. Beerachee, J. Featherstone, C. Mills, J. Pearson, L. Stephenson, S. Grant, A. Wilson, C. Hawksworth, I. Alam, M. Robinson, S. Ryan, R. Egdell, E. Gibson, M. Holland, D. Leonard, B. Mishra, S. Ahmad, H. Randall, J. Hill, L. Reid, M. George, S. McKinley, L. Brockway, W. Milligan, J. Sobolewska, J. Muir, L. Tuckis, L. Winstanley, P. Jacob, S. Kaye, L. Morby, A. Jan, T. Sewell, C. Boos, B. Wadams, C. Cope, P. Jefferey, N. Andrews, A. Getty, A. Suttling, C. Turner, K. Hudson, R. Austin, S. Howe, R. Iqbal, N. Gandhi, K. Brophy, P. Mirza, E. Willard, S. Collins, N. Ndlovu, E. Subkovas, V. Karthikeyan, L. Waggett, A. Wood, A. Bolger, J. Stockport, L. Evans, E. Harman, J. Starling, L. Williams, V. Saul, M. Sinha, L. Bell, S. Tudgay, S. Kemp, L. Frost, T. Ingram, A. Loughlin, C. Adams, M. Adams, F. Hurford, C. Owen, C. Miller, D. Donaldson, H. Tivenan, H. Button, A. Nasser, O. Jhagra, B. Stidolph, C. Brown, C. Livingstone, M. Duffy, P. Madgwick, P. Roberts, E. Greenwood, L. Fletcher, M. Beveridge, S. Earles, D. McKenzie, D. Beacock, M. Dayer, M. Seddon, D. Greenwell, F. Luxton, F. Venn, H. Mills, J. Rewbury, K. James, K. Roberts, L. Tonks, D. Felmeden, W. Taggu, A. Summerhayes, D. Hughes, J. Sutton, L. Felmeden, M. Khan, E. Walker, L. Norris, L. O'Donohoe, A. Mozid, H. Dymond, H. Lloyd-Jones, G. Saunders, D. Simmons, D. Coles, D. Cotterill, S. Beech, S. Kidd, B. Wrigley, S. Petkar, A. Smallwood, R. Jones, E. Radford, S. Milgate, S. Metherell, V. Cottam, C. Buckley, A. Broadley, D. Wood, J. Allison, K. Rennie, L. Balian, L. Howard, L. Pippard, S. Board, and T. Pitt-Kerby
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Male ,AF registry ,Atrial fibrillation ,Biomarkers ,Death ,Major adverse cardiovascular events ,outcomes ,Troponins ,Troponin ,Risk Factors ,Atrial Fibrillation ,Internal Medicine ,Humans ,Female ,Prospective Studies ,Registries ,Aged - Abstract
BACKGROUND: Cardiac troponins (cTn) have been reported to be predictors for adverse outcomes in atrial fibrillation (AF), patients, but their actual use is still unclear.AIM: To assess the factors associated with cTn testing in routine practice and evaluate the association with outcomes.METHODS: Patients enrolled in the ESC-EHRA EORP-AF General Long-Term Registry were stratified into 3 groups according to cTn levels as (i) cTn not tested, (ii) cTn in range (≤99th percentile), (iii) cTn elevated (>99th percentile). The composite outcome of any thromboembolism /any acute coronary syndrome/cardiovascular (CV) death, defined as Major Adverse Cardiovascular Events (MACE) and all-cause death were the main endpoints.RESULTS: Among 10 445 AF patients (median age 71 years, 40.3% females) cTn were tested in 2834 (27.1%). cTn was elevated in 904/2834 (31.9%) and in-range in 1930/2834 (68.1%) patients. Female sex, in-hospital enrollment, first-detected AF, CV risk factors, history of coronary artery disease, and atypical AF symptoms were independently associated with cTn testing. Elevated cTn were independently associated with a higher risk for MACE (Model 1, hazard ratio [HR] 1.74, 95% confidence interval [CI] 1.40-2.16, Model 2, HR 1.62, 95% CI 1.28-2.05; Model 3 HR 1.76, 95% CI 1.37-2.26) and all-cause death (Model 1, HR 1.45, 95% CI 1.21-1.74; Model 2, HR 1.36, 95% CI 1.12-1.66; Model 3, HR 1.38, 95% CI 1.12-1.71).CONCLUSIONS: Elevated cTn levels were associated with an increased risk of all-cause mortality and adverse CV events. Clinical factors that might enhance the need to rule out CAD were associated with cTn testing.
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- 2022
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26. TASKESHU CARAVANSЕRAI IN WESTERN KAZAKHSTAN (BASED ON THE MATERIALS OF THE EXCAVATIONS OF 2021)
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P. M. Koltsov, M. R. Kipiev, and Y. D. Obukhov
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- 2022
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27. Human motion capture algorithm for creating digital shadows of the movement process
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Artem D Obukhov, Andrey A Volkov, Nadezhda A Vekhteva, Daniil V Teselkin, and Alexey E Arkhipov
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History ,Computer Science Applications ,Education - Abstract
The improvement of virtual reality systems declares new requirements for the user immersion quality. To improve the immersiveness of the interaction process with virtual space, it is necessary to provide a realistic representation of a person in it, as well as the processes of his movement and interaction with virtual objects. In this work, the issue of using motion capture technologies to create a realistic avatar (digital shadow) and visualization of the movement process is considered. An algorithm for capturing human movements based on synchronization of various hardware solutions has been developed to create a digital shadow of the human movement process. The algorithm can be used to match the user with his virtual copy in virtual reality systems. The scientific novelty of the method lies in taking into account the position, direction and speed of a person’s movement, synchronization of the motion capture hardware tools used to create digital shadows of the person’s movement process.
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- 2022
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28. Mathematical model of the digital shadow of the human movement process
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Artem D Obukhov, Kirill I Patutin, Andrey A Volkov, Aleksandra O Nazarova, and Denis L Dedov
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History ,Computer Science Applications ,Education - Abstract
The process of forming a digital shadow of the human movement process is considered, which can be used in virtual reality systems, musculoskeletal rehabilitation, and other human-machine systems based on the analysis of the user’s movement. The most important step in creating the digital shadow is its formalization in the form of a mathematical model. At present, the issue of the formalization of digital shadows of various objects and processes has not been fully developed. The article discusses the development of the mathematical model of the digital shadow of the movement process, the novelty of which lies in combining information from four sources (three different motion capture systems and a complex of medical sensors to assess the physical condition of a person), as well as their synchronization and filtering. The obtained theoretical results will be used as a basis for software abstraction of the digital shadow in information systems to solve the problems of testing, simulating a person and modeling his reaction by summarizing the collected data arrays about his movement.
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- 2022
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29. NEURAL NETWORK METHOD FOR DATA RECOVERY IN INFORMATION SYSTEMS
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A. D Obukhov, M. N. Krasnyanskiy, and Tstu
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Artificial neural network ,business.industry ,Computer science ,Information system ,Data mining ,business ,computer.software_genre ,computer ,Data recovery - Published
- 2020
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30. SCIENTIFIC BASES OF THE MIXING PROCESS OF MEDICINES, VITAMIN AND MINERAL ADDITIVES WITH FILLER IN PRODUCTION TECHNOLOGY
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Otari N. Didmanidze, Vladimir I. Syrovatka, Andrey D. Obukhov, and Natalya V. Zhdanova
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Vitamin ,chemistry.chemical_compound ,Filler (packaging) ,Materials science ,Mineral ,chemistry ,Chemical engineering ,Scientific method ,Mixing (process engineering) ,Production (economics) - Published
- 2020
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31. The Development of a Virtual Installation Visualization Training System for Oil and Gas Industry
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N. N. Prokudina, N. A. Chebotov, K. I. Patutin, A. D. Obukhov, and N. A. Vekhteva
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Engineering ,Petroleum industry ,business.industry ,Training system ,business ,Manufacturing engineering ,Visualization - Abstract
In the context of the need to implement distance education and improve the quality of educational materials, an urgent problem is the development of modern means of representing knowledge and mastering the necessary competencies for students. As such means, it is possible to use virtual laboratory stands and installations that implement in three-dimensional space processes and objects corresponding to real equipment and production. This correspondence allows, using modern information technologies, to organize the educational process in a virtual space on various devices due to the cross-platform property of the Unity development environment. The paper presents the process of developing a visualization system using the example of a virtual installation for training specialists in the oil and gas industry. The structure of the system, used tools, software implementation is considered. The proposed approaches can be used to develop a wide range of virtual stands and installations.
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- 2020
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32. Energy efficiency evaluation of a mobile compressor unit driven by an internal combustion engine based on optimization methods
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I. D. Obukhov, G. I. Chernov, and A. M. Kalashnikov
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- 2021
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33. Investigation of thermal efficiency of previously investigated types of thermal insulation in the simplified flow part of the heat exchanger and a full-fledged model of the recuperative heat exchanger
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A. M. Kalashnikov and I. D. Obukhov
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Thermal efficiency ,Materials science ,Thermal insulation ,business.industry ,Nuclear engineering ,Flow (psychology) ,Heat exchanger ,business - Published
- 2019
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34. An Apparatus for Improving Mixing Homogeneity of Medicated Feeds and Premixes
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V. I. Syrovatka, A. D. Obukhov, and N. V. Zhdanova
- Subjects
Psychiatry and Mental health ,Neuropsychology and Physiological Psychology ,Animal science ,Fodder ,Fluidized bed ,Coefficient of variation ,Plant biochemistry ,Homogeneity (physics) ,Third stage ,Mathematics - Abstract
The mixing homogeneity of mixed fodders’ basic ingredients with mineral, vitamin, and medicinal preparations is extremely significant since it provides up to one third of the increase in productivity of livestock and poultry. In international practice, the homogeneity of components' distribution is estimated by the coefficient of variation Vc, where Vc < 3% is excellent quality of a mixture, 3% < Vc < 4% is good quality, and 4% < Vc < 5% is satisfactory quality. In order to achieve these values, the fluidized bed mixing method is proposed; it is carried out in three stages in the proposed apparatus containing a chopper-mixer for the primary premix preparation, where the ratio of premix to filler is 1 : 1 or 1 : 3. The first stage is a mixing period of 40–60 s; the resulting mixture is then discharged to a main mixer, the filler is added in a 1 : 50 ratio, and they are mixed for 2–3 min, which is the second stage; at the third stage, all filler (mixed fodder) is added, and they are mixed for 3–4 min. The apparatus has been tested in production conditions—it has shown the mixing homogeneity of 94–95% that corresponds to the coefficient of variation Vc of 4–6% and 7–15% in the applied mixers.
- Published
- 2019
- Full Text
- View/download PDF
35. New Bone Overlay with a Dragon Image Discovered at Madzhar Fortified Settlement
- Author
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Yuri D. Obukhov and Sergei G. Bocharov
- Subjects
Archeology ,Geography ,Settlement (structural) ,fire pearl ,lcsh:Archaeology ,archaeological studies ,lcsh:CC1-960 ,Overlay ,dragon ,Archaeology ,Madzhar fortified settlement ,the Golden Horde - Abstract
Systematic studies are conducted at Madzhar settlement by the “Kaffa” expedition of the Institute of Archaeology named after A.Kh. Khalikov of the Academy of Sciences of the Republic of Tatarstan within the framework of the State Program of the Republic of Tatarstan “Preservation of the National Identity of the Tatar People (2014–2019)”. Madzhar fortified settlement represents the remains of the Golden Horde town of Madzhar located near the contemporary town of Budennovsk in Stavropol Krai. The work is dedicated to the discovery of a bone article at the fortified settlement in question. A carved bone overlay with a dragon image was discovered at the archaeological excavations of 2016. The bone overlay was found during cleaning of the pavement of a medieval town street. A paved street was discovered in a Golden Horde town for the first time in history. The studied area of the pavement consisted of 174 fragments of locally manufactured defective bricks, 115 sandstones and 127 broken brick fragments. The period of operation of the town street and, correspondingly, the time of loss of the bone overlay correspond to the reign of Djanibek Khan, and has been dated on the basis of 12 coins. The carved overlay was made of thick horn. A four-leaved medallion with a rectangular pointed upper edge dimensioned 72×72 mm, which resembles a lotus bud, features a carved image of a dragon. The symbolics of the dragon image was thoroughly studied. Suggestions are made in relation to the possible location of manufacture of such products and the use of similar articles in the territory of the Mongol Empire.
- Published
- 2018
- Full Text
- View/download PDF
36. A Mathematical Model of Information Processing in the Electronic Document Management System
- Author
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A. D. Obukhov, I. L. Korobova, and M. N. Krasnyanskiy
- Subjects
Information retrieval ,Computer science ,Information processing ,Document management system ,computer.software_genre ,computer - Published
- 2018
- Full Text
- View/download PDF
37. Digital Training Using Electronic Document Management System in Education
- Author
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M. N. Krasnyansky, A. I. Popov, and A. D. Obukhov
- Subjects
Multimedia ,Computer science ,Document management system ,computer.software_genre ,Training (civil) ,computer - Published
- 2018
- Full Text
- View/download PDF
38. The Method of Classification and Management of Documents in Electronic Document Management System of Academic Institutions
- Author
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M. N. Krasnyansky and A. D. Obukhov
- Subjects
Knowledge management ,business.industry ,Computer science ,Document management system ,computer.software_genre ,business ,computer - Published
- 2018
- Full Text
- View/download PDF
39. Conceptual Approaches to Automated Management of Professional Education
- Author
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A. D. Obukhov and A. I. Popov
- Subjects
Professional development ,Engineering ethics ,Sociology - Published
- 2018
- Full Text
- View/download PDF
40. Innovative Approach to Marshalling Yard Control Automation
- Author
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A. D. Obukhov
- Subjects
General Economics, Econometrics and Finance - Abstract
A block diagram of an automated control system of a marshalling yard operation with elements of artificial intelligence is offered. The intelligent units, which are «Neural network forecasting» and «Formation of control decisions», are considered. Their connection with processing of traffic volumes in an operationally controlled technological process is studied.
- Published
- 2016
- Full Text
- View/download PDF
41. NEURAL NETWORK CONTROL OF MARSHALLING PROCESSES
- Author
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A. D. Obukhov
- Subjects
General Economics, Econometrics and Finance - Published
- 2016
- Full Text
- View/download PDF
42. The Algorithm of Structural and Parametric Synthesis of Electronic Document Management System of Research and Education Institution
- Author
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A. D. Obukhov
- Subjects
Parametric synthesis ,Engineering management ,Knowledge management ,Computer science ,business.industry ,Institution (computer science) ,Document management system ,business ,computer.software_genre ,computer - Published
- 2016
- Full Text
- View/download PDF
43. Formulation of the Problem of Structural and Parametric Synthesis of Electronic Document Management System of Research and Education Institute
- Author
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A. D. Obukhov
- Subjects
Parametric synthesis ,Engineering ,business.industry ,Systems engineering ,Document management system ,computer.software_genre ,business ,computer - Published
- 2016
- Full Text
- View/download PDF
44. The Organizational System of Work with Gifted University Students in the Informatics Course
- Author
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A. I. Popov, A. D. Obukhov, and E. A. Rakitina
- Subjects
Work (electrical) ,Organizational systems ,Informatics ,Pedagogy ,Engineering ethics ,Psychology ,Course (navigation) - Published
- 2016
- Full Text
- View/download PDF
45. Structural model of control system for hydraulic stepper motor complex
- Author
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A. N. Kolodin, D. L. Dedov, and A. D. Obukhov
- Subjects
0209 industrial biotechnology ,020303 mechanical engineering & transports ,020901 industrial engineering & automation ,0203 mechanical engineering ,Computer science ,Control system ,Stepper motor ,Control engineering ,02 engineering and technology - Published
- 2018
- Full Text
- View/download PDF
46. Facilities, testing program and modeling needs for studying liquid metal magnetohydrodynamic flows in fusion blankets
- Author
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Leo Bühler, D. Obukhov, Chiara Mistrangelo, Marco Utili, Qunying Huang, Sergey Smolentsev, J. Konys, R. Bhattacharyay, and Utili, M.
- Subjects
Physics ,Fusion ,Liquid metal ,Structural material ,Magnetohydrodynamics (MHD) ,Mechanical Engineering ,Nuclear engineering ,Liquid metal blanket ,Numerical simulation ,Experimental facilities ,Liquid metal blankets ,Numerical simulations ,Blanket ,Magnetic field ,Physics::Fluid Dynamics ,Nuclear Energy and Engineering ,Physics::Accelerator Physics ,Astrophysics::Solar and Stellar Astrophysics ,General Materials Science ,Magnetohydrodynamic drive ,Magnetohydrodynamics ,Focus (optics) ,Experimental facilitie ,Civil and Structural Engineering - Abstract
Since many years, liquid metal flows for applications in fusion blankets have been investigated worldwide. A review is given about modeling requirements and existing experimental facilities for investigations of liquid metal related issues in blankets with the focus on magnetohydrodynamics (MHD). Most of the performed theoretical and experimental works were dedicated to fundamental aspects of MHD flows under very strong magnetic fields as they may occur in generic elements of fusion blankets like pipes, ducts, bends, expansions and contractions. Those experiments are required to progressively validate numerical tools with the purpose of obtaining codes capable to predict MHD flows at fusion relevant parameters in complex blanket geometries, taking into account electrical and thermal coupling between fluid and structural materials. Scaled mock-up experiments support the theoretical activities and help deriving engineering correlations for cases which cannot be calculated with required accuracy up to now. © 2014 Karlsruhe Institute of Technology All rights reserved.
- Published
- 2015
47. [Untitled]
- Author
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V. I. Govorov, Yu. D. Obukhov, and N. V. Prokhorchenko
- Subjects
Bearing (mechanical) ,Materials science ,chemistry ,Mechanics of Materials ,law ,Metallic materials ,Metallurgy ,Materials Chemistry ,Metals and Alloys ,chemistry.chemical_element ,Condensed Matter Physics ,Carbon ,law.invention - Published
- 2001
- Full Text
- View/download PDF
48. Effect of chromium on the rate of carbide formation processes during tempering
- Author
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V. D. Obukhov, Yu. I. Ustinovshchikov, and V. A. Korablev
- Subjects
inorganic chemicals ,Quenching ,Materials science ,fungi ,Metallurgy ,technology, industry, and agriculture ,Metals and Alloys ,chemistry.chemical_element ,Condensed Matter Physics ,Carbide ,chemistry.chemical_compound ,Chromium ,chemistry ,Mechanics of Materials ,Metallic materials ,otorhinolaryngologic diseases ,Chromium hydride ,Tempering ,Chromium carbide - Abstract
1. An increase in the chromium content of steel slows down carbide formation processes. 2. If the steel contains undissolved particles of chromium carbide after quenching then special carbides are precipitated more rapidly with higher chromium concentrations in the steel.
- Published
- 1975
- Full Text
- View/download PDF
49. AUTOMATIC INSTALLATIONS FOR THE PRODUCTION OF ANIMAL FEED ON FARMS
- Author
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V. I. Syrovatka, N. V. Zhdanova, A. S. Dorokhov, and A. D. Obukhov
- Subjects
Waste management ,Animal feed ,Environmental science ,Production (economics) - Abstract
In the cost of livestock and poultry products, feed accounts for 55-65%. Compound feed is the energy basis of the diet of animals and poultry: of these, the bird receives 93-95% of the total energy of the feed, pigs - 80-85%, cattle 30-45%. In farms that do not use the services of feed mills, but have a sufficient set of ingredients for the production of their own high-quality mixed feeds, it is advisable to use grinding and mixing blocks (RSB) with a productivity of 2-6 t / h. Such farms include all dairy farms, pig-breeding with a livestock of up to 30 thousand, poultry farms up to 300 thousand laying hens or broilers. The article presents a new constructive design and the principle of operation of technologically linked and autonomously working machines: a plant for fractional grinding and production of mixtures of grain feeds and a plant for the preparation of medical, vitamin and mineral premixes using the laboratory mill ML-1. It is advisable to use a vertical hammer mill with replaceable cylindrical sieves with a height of 200-250 mm, an inner diameter of a cylindrical sieve - 500 mm, a gap between it and the ends of the hammers - 1-2 mm as part of the fractional grinding installation. The number of hammers is determined on the basis that the sum of their thickness should once overlap the height of the perforated part of the sieve. Depending on the daily needs of the farm for feed, it is advisable to use three types of plants: with a capacity of 2 t / h, 4 and 6 t / h. The vibrodoser works from an electric motor with a power of 0.2 ... 0.3 kW with a frequency of 1500 rpm. The prepared premix is poured into one of the bins as an ingredient and dispensed into the feed mixture in a dosage.
- Published
- 1970
- Full Text
- View/download PDF
50. [Landscape-epidemiological regionalization of the Amur area for tick-borne encephalitis]
- Author
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L A, Vereta, G D, Obukhov, E I, Kovaleva, T M, Skvortsova, and V E, Mogilev
- Subjects
Siberia ,Ticks ,Ecology ,Animals ,Encephalitis, Tick-Borne ,Encephalitis Viruses, Tick-Borne - Published
- 1973
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