bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of mathematical models and optimization of operation modes of the oil heating station of main oil pipelines under conditions of fuzzy initial information
Authors: Orazbayev Batyr , Moldasheva Zhadra , Orazbayeva Kulman , Makhatova Valentina , Kurmangaziyeva Lyailya , Gabdulova Aigul 
Published: December 2021

The relevance of the study is substantiated by the fact that when managing the processes of oil transportation through main pipelines, it becomes necessary to determine and select the optimal operating modes of the oil pipeline units, taking into account the fuzziness of some part of the initial information. In this regard, solving the problem of multi-criteria selection of effective operating modes for an oil heating station for a hot oil pipeline system, which is often described in a fuzzy environment, based on the apparatus of fuzzy set theories, is an urgent scientific and practical problem. A method for the synthesis of models in the conditions of fuzzy output parameters of the object has been developed, with the help of which fuzzy models of the investigated oil heating station of the main oil pipeline have been built. Based on the modification and combination of various optimality principles, mathematical formulations of the problem of multi-criteria selection of effective operating modes for an oil heating station in a fuzzy environment are obtained. By modifying and adapting the principles of guaranteed results and equality in a fuzzy environment, a heuristic method has been developed for solving the formulated problem of selecting object's operation modes using the initial fuzzy information. The proposed heuristic method for multi-criteria selection in a fuzzy environment is based on the use of the experience and knowledge of the decision-maker. The proposed approach is implemented in the formulation and solution of the problem of multi-criteria selection of operating modes of the oil heating station in Atyrau of the Uzen-Atyrau-Samara main oil pipeline. As a result of the application of the proposed method, an improvement in the degree of fulfillment of a fuzzy restriction on environmental impact was achieved by 2 %, as well as the optimal values of the operating parameters of the object were improved: the temperature was reduced by 1.85 % (5.67 K), pressure – by 0.04 % (kPa) and fuel consumption – by 2.9 % (0.0002 kg/s). The obtained results have confirmed the effectiveness of the proposed approach to solving the assigned tasks.
Determining the properties of chia seed meal gel
Authors: Strashynskyi Ihor , Grechko Victoria , Fursik Oksana , Pasichnyi Vasyl , Marynin Andrii 
Published: December 2021

Potential areas of using chia seeds meal as part of mincemeat semi-finished products were substantiated. The modern stage of development of the food industry involves the expansion of the range of natural functional ingredients that improve the organoleptic characteristics of finished products and provide consumers with "healthy" food. This causes the use of new ingredients in the meat processing industry for producing and devising products.
The relationship between the indicators of emulsifying capacity, emulsion resistance, and the degree of hydration of chia meal was determined experimentally. It was found that the ability of chia meal to absorb and retain water and fat molecules in the emulsion composition decreased proportionally to a decrease in its concentration in the composition of hydrated samples. The existence of non-polar side chains of amino acids that get bound to fat molecules contributes to an increase in the indicators of emulsifying capacity and emulsion stability during heat treatment (70±2 °C) and after pre-freezing on average by 7–8.7 % and by 16–18.8 %, respectively.
Analysis of effective viscosity of the dispersed system of chia seeds meal indicates that in the area of a higher concentration, the viscous-elastic and solid-like behavior of the suspension depends on dynamic changes in the volume of the phase of particles. Heating the experimental samples to a temperature of 70±2 °C in the center leads to a maximum increase in viscosity of the formed dispersions. When studying the effect of the processes of freezing on the properties of the studied systems, the cryoprotective properties for the proposed additives were detected.
The obtained data indicate the thermal stabilization of the proposed additive, the ability to form a microgel structure in the finished product, and retain moisture during heat treatment of semi-finished products.
Determining heat losses in university educational premises and developing an algorithm for implementing energy-saving measures
Authors: Savchenko-Pererva Marina , Radchuk Oleg , Rozhkova Ludmila , Barsukova Hanna , Savoiskyi Oleksandr 
Published: December 2021

This paper gives examples of the implementation of energy-saving measures in public premises. The introduction of energy-saving measures at enterprises significantly reduces the fixed component of industrial expenditures.
As a rule, educational institutions, for example, public premises, are financed from the state budget, and saving money on utilities will enable redirecting finances to the development of the university’s educational and scientific base.
Thus, the main purpose of implementing such measures is to reduce the cost of maintaining buildings.
The measures are divided into three stages. At the first preparatory stage, the problem elements of a building and communications, which require the introduction of energy-saving measures using a special Fluke Ti25 device, are identified. Problem elements of the building structure were determined by complete scanning of the ceiling, walls, and floor with the help of a thermal imager. A large (more than 10 %) difference between indoor air temperature and the temperature of the building element indicates a problem element. The research method is thermographic.
The study contains an example of scanning the wall of the premises. The temperature difference between the left and the right sides of the wall is 2.6 °C (the difference with the room temperature is 21 %). This indicates significant heat losses through the wall. At the second stage of information processing, measures to reduce energy consumption were determined. At the third stage of the introduction of energy-saving measures, the measures that directly affect the energy consumption of a building and effective functioning of communications were implemented.
The practical relevance of the study is to obtain results and practical recommendations that can be applied in practice to improve the energy efficiency of premises and buildings.
Improving the marmalade technology by adding a multicomponent fruit-and-berry paste
Authors: Samokhvalova Olga , Kasabova Kateryna , Shmatchenko Nataliа , Zagorulko Aleksey , Zahorulko Andrii 
Published: December 2021

The necessity to optimize the nutritional value of marmalade by using physiologically functional ingredients containing vitamins, dietary fiber, minerals, and other useful substances in its composition has been substantiated. Specifically, using the multicomponent fruit-and-berry paste from apples, quince, black currant has been proposed, which is obtained by an improved technique. The technique is characterized by the rapid dehydration (30...45 s, at 50 °C) of the blended paste in a rotor plant to 28...30 % of dry matter. When studying the dependences of the effective viscosity of paste compositions on the shear rate, it was found that the paste that demonstrated the best indicators contained apple in the amount of 40 %; quince ‒ 50 %; black currant ‒ 10 %.
It has been experimentally proven that the rational amount of fruit-and-berry paste is 30 % with a decrease in agar by 30 %. This makes it possible to obtain the jelly-fruit marmalade on agar with a mass fraction of moisture of 18 %, a total acidity of 10 degrees, and a mass fraction of reducing substances not more than 28 %. The products have a sweet-sour taste, with a pleasant aftertaste and the smell of black currant, rich purple color, jelly-like form, and non-tight consistency. The strength of the new samples of marmalade with a decrease in the amount of agar is 18.9 kPa, similar to that of control.
The improved technology makes it possible to expand the range of "healthy products", which is achieved by the partial replacement of raw materials with a fruit-and-berry paste, which contains a significant number of physiologically functional components. This allows for an increase in the nutritional value of marmalade, as well as a decrease in the formulation amount of agar, which is expensive, by 30 %.
In addition, gentle concentration modes improve the process of paste making
Determining the effect of a multicomponent mixture on the quality of pastry products containing a mixture of germinated grains
Authors: Bilyk Olena , Kochubei-Lytvynenko Oksana , Bondarenko Yulia , Burchenko Liudmila , Fain Albina 
Published: December 2021

A bun with a mixture of germinated cereals of wheat, oats, barley, and corn is an innovative product rich in dietary fiber, replaceable and essential amino acids, micro and macro elements, vitamins. In the process of germination, grains accumulate a large number of amylolytic and proteolytic enzymes, which worsen the structural and mechanical properties of the crumb of pastry products, as a result of which it becomes sticky and wrinkled. The experimental study reported in this work aimed to improve the organoleptic indicators and prolong the freshness of pastry products whose formulation includes a mixture of germinated grains.
The expediency has been proven of using the polycomponent mixture "Solodok" (Ukraine) in the amount of 3.0 % to the mass of flour in the production of pastry products in whose formulation 50 % of flour was replaced with a mixture of germinated grains. The application of the polycomponent mixture "Solodok" has a positive effect on the organoleptic and structural-mechanical properties of the product crumb. The composition of the polycomponent mixture includes safe food additives and ingredients such as ground cinnamon, dry wheat gluten, apple pectin, and ascorbic acid.
It has been proven that products with the addition of the polycomponent mixture retain freshness longer, which was confirmed by a lower rate of staleness, by 59.2 %, compared to control.
The stale processes in the case of using a polycomponent mixture are inhibited due to the greater accumulation of dextrins compared to control. Thus, the total content of dextrins in a pastry product is 1.668 % to DM (dry matter) while in the bun "Tsilyushcha", it is 2.443 % to DM.
The study results show the technological effectiveness of the use of the "Solodok" polycomponent mixture to slow down the staleness of products and provide products enriched with a mixture of germinated cereals with satisfactory consumer properties.
Development of a weed detection system using machine learning and neural network algorithms
Authors: Urmashev Baydaulet , Buribayev Zholdas , Amirgaliyeva Zhazira , Ataniyazova Aisulu , Zhassuzak Mukhtar , Turegali Amir 
Published: December 2021

The detection of weeds at the stages of cultivation is very important for detecting and preventing plant diseases and eliminating significant crop losses, and traditional methods of performing this process require large costs and human resources, in addition to exposing workers to the risk of contamination with harmful chemicals. To solve the above tasks, also in order to save herbicides and pesticides, to obtain environmentally friendly products, a program for detecting agricultural pests using the classical K-Nearest Neighbors, Random Forest and Decision Tree algorithms, as well as YOLOv5 neural network, is proposed. After analyzing the geographical areas of the country, from the images of the collected weeds, a proprietary database with more than 1000 images for each class was formed. A brief review of the researchers' scientific papers describing the methods they developed for identifying, classifying and discriminating weeds based on machine learning algorithms, convolutional neural networks and deep learning algorithms is given. As a result of the research, a weed detection system based on the YOLOv5 architecture was developed and quality estimates of the above algorithms were obtained. According to the results of the assessment, the accuracy of weed detection by the K-Nearest Neighbors, Random Forest and Decision Tree classifiers was 83.3 %, 87.5 %, and 80 %. Due to the fact that the images of weeds of each species differ in resolution and level of illumination, the results of the neural network have corresponding indicators in the intervals of 0.82–0.92 for each class. Quantitative results obtained on real data demonstrate that the proposed approach can provide good results in classifying low-resolution images of weeds.
Procedure for selecting optimal geometric parameters of the rotor for a traction non-partitioned permanent magnet-assisted synchronous reluctance motor
Authors: Liubarskyi Borys , Iakunin Dmytro , Nikonov Oleh , Liubarskyi Dmytro , Vasenko Vladyslav , Gasanov Magomedemin 
Published: December 2021

This paper reports the construction of a mathematical model for determining the electromagnetic momentum of a synchronous reluctance motor with non-partitioned permanent magnets. Underlying it is the calculation of the engine magnetic field using the finite-element method in the flat-parallel problem statement. The model has been implemented in the FEMM finite-element analysis environment. The model makes it possible to determine the engine's electromagnetic momentum for various rotor geometries. The problem of conditional optimization of the synchronous reluctance motor rotor was stated on the basis of the rotor geometric criteria. As an analysis problem, it is proposed to use a mathematical model of the engine's magnetic field. Constraints for geometric and strength indicators have been defined. The Nelder-Mead method was chosen as the optimization technique. The synthesis of geometrical parameters of the synchronous reluctance motor rotor with non-partitioned permanent magnets has been proposed on the basis of solving the problem of conditional optimization. The restrictions that are imposed on optimization parameters have been defined. Based on the study results, the dependence of limiting the angle of rotation of the magnet was established on the basis of strength calculations. According to the calculation results based on the proposed procedure, it is determined that the optimal distance from the interpole axis and the angle of rotation of magnets is at a limit established by the strength of the rotor structure.
Based on the calculations, the value of the objective function decreased by 24.4 % (from −847 Nm to −1054 Nm), which makes it possible to significantly increase the electromagnetic momentum only with the help of the optimal arrangement of magnets on the engine rotor.
The results of solving the problem of synthesizing the rotor parameters for a trolleybus traction motor helped determine the optimal geometrical parameters for arranging permanent magnets.
Increasing quality of the wireless module for monitoring and supervision of sound series of the expanded purpose
Authors: Trunov Alexandr , Byelozyorov Zhan 
Published: December 2021

The sound series are considered as an addition to visual and thermal imaging information flows when using computerized monitoring systems (CS). A minimum complete structure of spaced microphones for collecting data on sound rows, which is suitable for calibrating, isolating and transmitting data on sound anomalies (SA), is proposed. Duplication of the data transmission channel by wire and Wi-Fi module for recording and determining the type and coordinates of the SA is provided.
An experimental receiving module has been assembled, which includes microphones, amplifiers and signals matching boards for digital and analog forms, an ARDUINO UNO WIFI REV2 controller with an integrated Wi-Fi module. It is presented that its addition with a personal computer and a smartphone with the Android operating system forms a CS for remote wireless control of the course of the experimental analysis of sound series. It has been confirmed experimentally that its structure is minimally complete. An algorithm was developed and a software package was written in C/C++ languages. It is shown that the number of microphones is selected from the conditions of the problem from 1 to 5, but their number is limited to five digital inputs of the ARDUINO UNO WIFI REV2 board. A wave representation of the law of temporal changes in intensity and the integral norm of SA is applied. The possibilities of calibrating all data of sound series in analog and digital form are demonstrated. The article presents the suitability of testing the algorithms for determining the phases of echograms from time series data, containing SAs of different origins and recorded by three different microphones. The effect of connecting a Wi-Fi module on reducing the voltage drop by 0.5–1 V is shown. The necessity of an additional registration condition for all microphones is demonstrated. The software interfaces for the calibration of the receiving module and the operation of the mobile application have been developed.
Constructing a method for assessing the effectiveness of using protective barriers near highways to decrease the level of air pollution
Authors: Biliaiev Mykola , Kozachyna Vitalii , Biliaieva Viktoriia , Rusakova Tetiana , Berlov Oleksandr , Mala Yuliia 
Published: December 2021

Highways are an intensive source of environmental pollution. Atmospheric air is exposed to the fastest anthropogenic influence. Therefore, a particularly important task is to minimize the level of air pollution near the highway. An effective method for solving this problem is the use of protective barriers of various shapes installed near highways. At the stage of designing these protective structures, an important task arises to assess their effectiveness.
Estimation of the effectiveness of protective barriers by the method of the physical experiment takes considerable time to set up and conduct an experiment, as well as analyze the results of physical modeling. This method is not always convenient during design work. An alternative method is the method of mathematical modeling. For the designer, it is very important to have mathematical models that make it possible to quickly obtain a predictive result and take into consideration a set of important factors on which the effectiveness of the protective barrier depends.
A method has been devised that makes it possible to assess the effectiveness of using protective barriers to reduce the level of air pollution near the highway. It was found that an increase in barrier height by 80 % leads to a 22 % decrease in the concentration of impurities behind the barrier. It was established that applying a barrier with a height of 1.5 m leads to a 26 % decrease in the concentration of impurities in buildings adjacent to the highway. A method has been devised to assess the effectiveness of using absorbent "TX Active" surfaces on the protective barrier located near the highway. This study's result revealed that the application of a barrier with one "TX Active" surface leads to a decrease in the concentration of NO behind the barrier by an average of 43 %. When using a barrier with two "TX Active" surfaces, a decrease in the NO concentration behind the barrier is 85 % on average
Low-dose digoxin enhances the anticonvulsive potential of carbamazepine and lamotrigine in chemo-induced seizures with different neurochemical mechanisms
Authors: Tsyvunin Vadim , Shtrygol’ Sergiy , Havrylov Ihnat , Shtrygol’ Diana 
Published: December 2021

"Non-antiepileptic" drugs have a strong potential as adjuvants in multidrug-resistant epilepsy treatment. In previous study the influence of low doses of digoxin, which do not affect the myocardium, on the anticonvulsant potential of classical commonly used anti-epileptic drugs under conditions of seizures, induced by pentylenetetrazole and maximal electroshock, has been investigated.
The aim of the study was to investigate the influence of digoxin at a sub-cardiotonic dose on the anticonvulsant potential of carbamazepine and lamotrigine in experimental seizures with different neurochemical mechanisms.
Material and methods: A total of 192 random-bred male albino mice weighting 22–25 g were used. Carbamazepine and lamotrigine were administered intragastrically in conditionally effective (ED50) and sub-effective (½ ED50) doses: carbamazepine at doses of 100 and 50 mg/kg; lamotrigine at doses of 25 and 12.5 mg/kg. Digoxin was administered subcutaneously at a sub-cardiotonic dose of 0.8 mg/kg as an adjuvant to carbamazepine and lamotrigine in ½ ED50. Picrotoxin (2.5 mg/kg subcutaneously); thiosemicarbazide (25 mg/kg intraperitoneally); strychnine (1.2 mg/kg subcutaneously); camphor (1000 mg/kg intraperitoneally) were used as convulsant agents.
Results: It was found that digoxin not only has its own permanent anticonvulsant effect on different models of paroxysms with different neurochemical mechanisms of development, but also significantly enhances the anticonvulsant potential of carbamazepine (to a lesser extent – lamotrigine) regardless of the pathogenesis of experimental paroxysms.
Conclusion: Based on the results, it can be concluded that digoxin has a high potential as an adjuvant medicine in complex epilepsy treatment because it enhances the efficiency of low-dose traditional anticonvulsants carbamazepine and lamotrigine