bluuebunny/crossref_metadata_2025_split huggingface dataset:
REALIZATION OF THE DECISION-MAKING SUPPORT SYSTEM FOR TWITTER USERS’ PUBLICATIONS ANALYSIS
Authors: Batiuk T. , Dosyn D. 
Published: April 2024

Context. The paper emphasizes the need for a decision-making system that can analyze users’ messages and determine the sentiment to understand how news and events impact people’s emotions. Such a system would employ advanced techniques to analyze users’ messages, delving into the sentiment expressed within the text. The primary goal is to gain insights into how news and various events reverberate through people’s emotions.
Objective. The objective is to create a decision-making system that can analyze and determine the sentiment of user messages, understand the emotional response to news and events, and distribute the data into clusters to gain a broader understanding of users’ opinions. This multifaceted objective involves the integration of advanced techniques in natural language processing and machine learning to build a robust decision-making system. The primary goals are sentiment analysis, comprehension of emotional responses to news and events, and data clustering for a holistic view of user opinions.
Method. The use of long-short-term memory neural networks for sentiment analysis and the k-means algorithm for data clustering is proposed for processing large volumes of user data. This strategic combination aims to tackle the challenges posed by processing large volumes of user-generated data in a more nuanced and insightful manner.
Results. The study and conceptual design of the decision-making system have been completed and the decision-making system was created. The system incorporates sentiment analysis and data clustering to understand users’ opinions and the sentiment value of such opinions dividing them into clusters and visualizing the findings.
Conclusions. The conclusion is that the development of a decision-making system capable of analyzing user sentiment and clustering data can provide valuable insights into users’ reactions to news and events in social networks. The proposed use of longshort-term memory neural networks and the k-means algorithm is considered suitable for sentiment analysis and data clustering tasks. The importance of studying existing works and systems to understand available algorithms and their applications is emphasized. The article also describes created and implemented a decision-making system and demonstrated the functionality of the system using a sample dataset.
THE DESIGN OF THE PIPELINED RISC-V PROCESSOR WITH THE HARDWARE COPROCESSOR OF DIGITAL SIGNAL PROCESSING
Authors: Vavruk Y. Y. , Makhrov V. V. , Hedeon H. O. 
Published: April 2024

Context. The digital signal processing is applied in many fields of science, technology and human activity. One of the ways of implementing algorithms of digital signal processing is the development of coprocessors as an integral part of well-known architectures.
In the case of developing a pipelined device, the presented approach will allow to use software and hardware tools of the appropriate architecture, provide the faster execution of signal processing algorithms, reduce the number of cycles and memory accesses.
Objective. Objectives are design and characterization study of a pipelined RISC-V processor and coprocessor of digital signal processing which performs fast Fourier transform.
Method. Analyzing technical literature and existing decisions allow to assess advantages and disadvantages of modern developments and on the basis of which to form the relevance of the selected topic. Model designing and simulation results allow to examine a model efficiency, to determine weak components’ parts and to improve model parameters.
Results. The pipelined RISC-V processor has been designed which executes a basic set of instructions. Execution time of assembly program on the single-cycled and the pipelined processors have been analyzed. According to the results, the test program on the pipelined processor is executed in 29 cycles, while on the single-cycle processor it takes 60 cycles. The structure of the coprocessor for the fast Fourier transform algorithm and a set of processor instructions that allow working with the coprocessor have been developed. The number of cycles of the coprocessor based on Radix-2 fast Fourier transform algorithm for 512 points is 2358 cycles, and for 1024 points is 5180 cycles.
Conclusions. Conducted researches and calculations have showed that the application of the developed hardware coprocessor reduces the fast Fourier transform algorithm execution time and the load of the pipelined processor during calculations.
PROACTIVE HORIZONTAL SCALING METHOD FOR KUBERNETES
Authors: Rolik O. I. , Omelchenko V. V. 
Published: April 2024

Context. The problem of minimizing redundant resource reservation while maintaining QoS at an agreed level is crucial for modern information systems. Modern information systems can include a large number of applications, each of which uses computing resources and has its own unique features, which require a high level of automation to increase the efficiency of computing resource management processes.
Objective. The purpose of this paper is to ensure the quality of IT services at an agreed level in the face of significant dynamics of user requests by developing and using a method of proactive automatic application scaling in Kubernetes.
Method. This paper proposes a proactive horizontal scaling method based on the Prophet time series prediction algorithm. Prometheus metrics storage is used as a data source for training and validating forecasting models. Based on the historical metrics, a model is trained to predict the future utilization of computation resources using Prophet. The obtained time series is validated and used to calculate the required number of application replicas, considering deployment delays.
Results. The experiments have shown the effectiveness of the proposed proactive automated application scaling method in comparison with existing solutions based on the reactive approach in the selected scenarios. This method made it possible to reduce the reservation of computing resources by 47% without loss of service quality compared to the configuration without scaling.
Conclusions. A method for automating the horizontal scaling of applications in Kubernetes is proposed. Although the experiments have shown the effectiveness of this solution, this method can be significantly improved. In particular, it is necessary to consider the possibility of integrating a reactive component for atypical load patterns.
RESEARCH OF THE FEATURES OF DIGITAL SIGNAL FORMATION IN SATELLITE COMMUNICATION LINES
Authors: Мagro V. І. , Panfilov O. G. 
Published: April 2024

Context. Remote sensing of the Earth is now widely used in various fields. One of the challenges of remote sensing is the creation of inexpensive satellite systems operating in polar circular orbits. These systems require the development of a receptiontransmission system that allows tens of gigabits of video information to be transmitted to an earth receiving station within ten minutes. That is, there is a need to create a communication system that provides high speed data transmission from small satellites weighing up to 50 kg.
Objective. The aim of the work is to study the features of digital signal formation in modern satellite communication lines and to develop a communication system with a high data transfer rate (usually 300 Mbit/s), which can be applied to small Earth Observation satellites.
Method. Proposed concept for building a high-speed data transmitter from a remote sensing earth satellite using commercially available off-the-shelf technology. Calculations of the power flow density created at the input of the receiving earth station were performed to find out the possible power of the on-board transmitter.
Results. A diagram of a communication system based on the DVB-S standard using the technology of commercially available off-the-shelf products has been developed. The high-speed data transmitter is implemented on a Xilinx® Zynq Ultrascale+ ™ MPSoC FPGA microchip, which is located on an Enclustra Mercury XU8 module with a high-performance dual 16-bit AD9174 DAC. The on-board transmitter with a power of up to 2 W meets the requirements of the ITU Radio Regulations for the power flux density on the surface of the Earth, which is created by the radiation of the space station EESS in the range 8025–8400 MHz. It is shown that the energy reserve of the communication line of 3 dB is achieved for various commands for coding and modulation changes with an increase in the elevation angle, which allows to increase the speed of information transmission.
Conclusions. An original receiving-transmitting system was developed for use in small satellites for remote sensing of the Earth. It is shown that the function of adaptive modeling of ACM of the DVB-S standard allows you to automatically change the transmission parameters in real time depending on the changing conditions of the channel, providing opportunities for more flexible and effective data transmission in various conditions, which will allow to increase the volumes of information transmitted by communication session. The proposed system operates in the X-band and is built using commercially available off-the-shelf products. An antenna with double circular polarization is used as the emitter. Two physical channels represent two polarization modes: right circular polarization and left circular polarization, each of which has three frequency channels.
DECISION-MAKING MODELS AND THEIR APPLICATION IN TRANSPORT DELIVERY OF BUILDING MATERIALS
Authors: Bashkatov A. M. , Yuldashova O. A. 
Published: April 2024

Context. The task of determining a generalized parameter characterizing a comprehensive assessment of the action of criteria affecting the sequence of execution of orders for the manufacture and delivery of products to the customer.
Objective. The purpose of the work is to develop an algorithm for calculating priorities when solving the problem of transport services in conditions of uncertainty of choice.
Method. When considering the problem of the efficiency of order fulfillment, the reasons are given that affect the efficiency of the tasks being solved for the delivery of paving slabs to the customer in the shortest possible time. In order to select a scheme that reflects the main stages of decision-making, a justification was carried out and a comparative analysis of existing models was carried out. The criteria for the requirements for describing such models have been determined. It is indicated that the objective function depends on a group of reasons, i.e. represents a composite indicator. The stochastic nature of such factors led to the use of statistical analysis methods for their assessment. The limits of variation of the parameters used in the calculations are established. The solution to the multicriteria problem consists in bringing the role of the acting factors to one unconditional indicator, grouping and subsequent ranking of their values. The decision-making and the choice of the indicator will depend on the set threshold and the priority level of the factor. The indices that form the priority of the factor are determined analytically or expertly. The sequence of actions performed is presented in the form of an algorithm, which allows automating the selection of a model and the calculation of indicators. To assess the adequacy of the proposed solutions, tables of comparative results for the selection of the priority of the executed orders are given.
Results. The method allows a comprehensive approach to taking into account the heterogeneous factors that determine the order in which the order is selected when making managerial decisions, ensuring the achievement of a useful effect (streamlining the schedule for the delivery of paving slabs to the customer) by ranking the values of priority indices.
Conclusions. The proposed scheme for the transition to a complex unconditional indicator (priority index) makes it possible to quantitatively substantiate the procedure for choosing the next order when performing work. A special feature is that the list of operating factors can be changed (reduced or supplemented with new criteria). The values of these parameters will improve and have a higher reliability with the expansion of the experimental design, depending on the retrospective of their receipt, the accuracy of the data. As a prospect of the proposed method, the optimization of the process of selecting applications using queuing methods (for the type of the corresponding flow – homogeneous, without consequences, stationary, gamma flow, etc.) can be considered.
DESIGN MODELS OF BIT-STREAM ONLINE-COMPUTERS FOR SENSOR COMPONENTS
Authors: Larchenko L. V. , Parkhomenko A. V. , Larchenko B. D. , Korniienko V. R. 
Published: April 2024

Context. Currently, distributed real-time control systems need the creation of devices that perform online computing operations close to the sensor. The proposed online-computers of elementary mathematical functions can be used as components for the functional conversion of signals in the form of pulse streams received from measuring sensors with frequency output.
Objective. The objective of the study is the development of mathematical, architectural and automata models for the design of bit-stream online-computers of elementary mathematical functions in order to create a unified approach to their design, due to which the accuracy of calculating functions can be increased, functional capabilities expanded, hardware costs reduced, and design efficiency increased.
Method. Mathematical models of devices were developed using the method of forming increments of ascending step functions based on inverse functions with minimization of calculation error. Automata models of online-computers based on Moore’s Finite State Machine have been developed, the graph diagrams of which made it possible to ensure the clarity of function implementation algorithms, to increase visibility and invariance of implementation in formal languages of programming and hardware description.
Results. The paper presents the results of research, development and practical approbation of design models of bit-stream onlinecomputers of power functions and root extraction function. A generalized architecture of an online-computer was proposed.
Conclusions. The considered functional online-computers are effective from the point of view of calculation accuracy, simplicity of technical implementation, and universality of the architecture
EVALUATION OF THE INFLUENCE OF ENVIRONMENTAL FACTORS AND COGNITIVE PARAMETERS ON THE DECISION-MAKING PROCESS IN HUMAN-MACHINE SYSTEMS OF CRITICAL APPLICATION
Authors: Perederyi V. I. , Borchik E. Y. , Zosimov V. V. , Bulgakova O. S. 
Published: April 2024

Context. A feature of human-machine systems of critical application operating in real time is that they include as elements both technical systems and people interacting with these systems. At the same time, the main difficulties are associated not only with the improvement of hardware and software, but also with the insufficient development of methods for reliably predicting the impact of the production environment on the human factor and, as a result, on the relevance of decisions made by decision makers. As a result, the task of developing methods for determining the mutual influence of environmental factors and cognitive parameters of decision makers on the decision-making process becomes very relevant.
Objective. The aim of the work is to propose methodological foundations for the development and study of fuzzy hierarchical relational cognitive models to determine the influence of environmental factors and cognitive parameters of decision makers on the DMP.
Method. When building FHRCM methods of “soft computing”, methodologies of cognitive and fuzzy cognitive modeling were used, providing an acceptable formalization uncertainty of mutual influence of factors on the DMP.
Results. A fuzzy cognitive model based on a fuzzy Bayesian belief network has been developed, which makes it possible to draw a connection between qualitative and quantitative assessments of mutually influencing factors on the DMP. The proposed model makes it possible to probabilistically predict the influence of factors and choose rational ways of their interaction in the DMP.
Conclusions. The results of the experiments make it possible to recommend using the developed model, which takes into account the mutual influence of factors of various nature, including cognitive ones, in the DMP in order to improve the efficiency of HMSCA management as a whole.
REFINEMENT AND ACCURACY CONTROL OF THE SOLUTION METHOD FOR THE DURABILITY PROBLEM OF A CORRODING STRUCTURE USING NEURAL NETWORK
Authors: Brychkovskyi O. D. 
Published: April 2024

Context. The prediction of the time until failure of corroding hinge-rod structures is a crucial component in risk management across various industrial sectors. An accurate solution to the durability problem of corroding structures allows for the prevention of undesired consequences that may arise in the event of an emergency situation. Alongside this, the question of the effectiveness of existing methods for solving this problem and ways to enhance them arises.
Objective. The objective is to refine the method of solving the durability problem of a corroding structure using an artificial neural network and establish accuracy control.
Method. To refine the original method, alternative sets of input data for the artificial neural network which increase information about the change in axial forces over time are considered. For each set of input data a set of models is trained. Based on target metric values distribution among the obtained sets, a set is selected where the minimum value of the mathematical expectation of the target metric is achieved. For the set of models corresponding to the identified best set, accuracy control of the method is determined by establishing the relationship between the mathematical expectation of the target metric and the parameters of the numerical solution.
Results. The conditions under which a lower value of the mathematical expectation of the target metric is obtained compared to the original method are determined. The results of numerical experiments, depending on the considered case, show, in average, an improvement on 43.54% and 9.67% in the refined method compared to the original. Additionally, the proposed refinement reduces the computational costs required to find a solution by omitting certain steps of the original method. An accuracy control rule of the method is established, which allows to obtain on average a given error value without performing extra computations.
Conclusions. The obtained results indicate the feasibility of applying the proposed refinement. A higher accuracy in predicting the time until failure of corroding hinge-rod structures allows to reduce the risks of an emergency situation. Additionally, accuracy control enables finding a balance between computational costs and the accuracy of solving the problem. KEYWORDS
Genetic polymorphisms as predictors of methotrexate toxicity: literature review
Authors: Radzhabova G. A. , Valiev T. T. , Ryabukhina Yu. E. , Savelyeva M. I. , Abdullaev Sh. P. , Gurieva O. D. , Zeynalova P. A. 
Published: April 2024

Background. A significant advancement in the treatment of high-grade aggressive non-Hodgkin’s lymphomas and acute lymphoblastic leukemia is the inclusion of high-dose (1000–5000 mg/m2) methotrexate in the treatment protocol. This approach has significantly increased the long-term survival rate, but it has been associated with toxicity, requiring supportive care. Factors that predict toxicity were identified, including genes involved in the metabolism (MTHFR) or transport (SLCO1B1) of methotrexate. The analysis of methotrexate metabolism has identified additional genes responsible for the elimination of this drug, allowing for more effective prevention and treatment of methotrexate-associated toxicity.Aim. To study the genetic polymorphisms of enzymes involved in the methotrexate metabolism and associated toxicity in the treatment of pediatric acute lymphoblastic leukemia and non-Hodgkin’s lymphomas.Materials and methods. Data were analyzed in specialized medical databases such as Pubmed, Scopus, Web of Science, Frontiers, and Google Scholar from 2001 to 2024.Results. The main predictors of high-dose methotrexate-associated toxicity are gene polymorphisms in MTHFR, SLCO1B1, ARID5B.Conclusion. Despite the contradictory data presented in the literature, it is important to consider the detection of polymorphisms during high-dose methotrexate treatment in order to administer timely supportive care and prevent significant toxicity.
VEGFA, VEGFR1, VEGFR2 serum and cerebrospinal fluid concentration in patients with acute leukemia
Authors: Zakharko E. I. , Dvirnyk V. N. , Chabaeva Yu. A. , Drokova D. G. , Rybkina E. B. , Lavrishinets K. A. , Bulgakov A. V. , Panasenko M. N. , Fidarova Z. T. , Lukianova I. A. , Aleshina O. A. , Kulikov S. M. , Gaponova T. V. , Troitskaya V. V. , Parovichnikova E. N. 
Published: April 2024

Background. Vascular endothelial growth factor A (VEGFA) is one of the most important factors for regulation of hematopoietic stem cells differentiation. It is involved in leukemogenesis and central nervous system (CNS) damage in acute leukemia. According to the literature, the VEGFA production by blast cells is increased, but the values of serum concentration and the associations with CNS involvement are contradictory.Aim. evaluate the VEGFA, VEGFR1, VEGFR2 concentration in serum and cerebrospinal fluid of patient with different types of acute leukemia in disease onset and during treatment.Materials and methods. The concentration of VEGFA in serum and cerebrospinal fluid was studied in 74 primary patients with acute leukemia. The comparison group consisted of 67 healthy donors. VEGFR1, VEGFR2 were studied in serum and cerebrospinal fluid in 34 patients at the onset of the disease. The comparison group consisted of 10 healthy donors. For the analysis, an enzyme immunoassay was used on a semi-automatic Personal Lab analyzer (Adaltis) and Affymetrix eBioscience human VEGF-A Platinum ELISA reagents.Results. Serum VEGFA concentration was statistically significantly lower in acute leukemia patients than that of donors (median 149.78 and 432.19 pg/ml respectively; p <0.0001). Factor deficiency was significantly more pronounced in patients with blastemia (p <0.015). During antitumor therapy, there was a tendency to increase the amount of the factor in the blood serum. Serum concentration of soluble VEGFR2 was also lower in patients than that of donors (6949.9 and 8795.9 pg/ml respectively; p = 0.0026). For concentration of VEGFR1 such deviations were not found. The concentrations of VEGFR1 and VEGFR2 in serum were higher than in cerebrospinal fluid (p <0.0001), while VEGFR1 showed a positive correlation between serum and cerebrospinal fluid concentrations. the concentration of VEGFR1 in the cerebrospinal fluid was significantly lower in patients with B-lymphoblastic leukemia/lymphoma compared to other types of leukemia.Conclusion. the concentration of VEGFA in serum decreases in patients with blastemia, this may indicate a lack of secretion and excessive consumption of the factor by blast cells with a decrease in the proportion of leukocytes that normally secrete the factor. In the cerebrospinal fluid, the concentrations of VEGFR1 and VEGFR2 are lower than in serum, with the lowest values being found in patients with B-lymphoblastic leukemia/lymphoma, but no relationship with the development of CNS involvement was found.