bluuebunny/crossref_metadata_2025 huggingface dataset:
Anti-Müllerian hormone levels in relation to ovarian structures, season and age in Lipizzaner broodmares
Authors: Angyal Eszter , Vincze Boglárka , Somoskői Bence , Sós-Koroknai Viktória , Balogh Péter , Dankó Gabriella Novotniné , Cseh Sándor , Kútvölgyi Gabriella
Published: January 2025

The anti-Müllerian hormone (AMH) is a granulosa cell-derived hormone that has been associated with female fertility and reflects the population of growing follicles. This study aimed to evaluate the average concentration of AMH in Lipizzaner mares, as well as to determine the relationship between AMH concentration and follicle number and size. We also investigated the relationship between the age of mares and their AMH levels. The possible effect of seasonality of AMH levels was also assessed. Twenty-three mares between 6 and 24 years of age were included in the experiment. Mares were divided into two groups: Group 1 included mares aged 6 – 15 years (n = 11), while Group 2 included individuals older than 15 years of age (n = 12). Venous blood was collected and ovarian activity was monitored parallelly by transrectal ultrasonography. Serum AMH concentrations varied widely between the two different groups. AMH concentrations were significantly lower in old mares than in younger animals. A positive relationship was detected between AMH concentration and the number of medium-sized follicles (P = 0.022), large follicles (P = 0.016) and the total follicle count (P = 0.026). No seasonal effect was detected.
Experiential dimension of psilocybin-assisted therapy training: Necessity or hindrance to wider accessibility?
Authors: Plourde Louis , Chang Sue-Ling , Farzin Houman , Stephan Jean-François , Fallu Jean-Sébastien , Dorval Michel
Published: January 2025

The discussion surrounding the necessity of acquiring personal experience of non-ordinary states of consciousness in the course of psilocybin-assisted therapy training is crucial, as it can affect treatment safety, effectiveness and accessibility. As such, the ethical and practical issues associated with such a training standard require timely consideration in jurisdictions where this intervention is endorsed and integrated into healthcare. We believe the most balanced and ethical approach is to make psilocybin legally available for professional training without making it a requirement.
First report of the darkling beetle, Opatroides punctulatus Brullé, 1832 (Coleoptera, Tenebrionidae) in Idaho, USA, an expanding adventive species in the Pacific Northwest
Authors: Falcon-Brindis Armando , Trujillo Henry , Thomas Jason
Published: January 2025

Opatroides punctulatus Brullé, 1832 is a detritivore tenebrionid beetle native to the Old World that was detected in the United States over 20 years ago. It is well adapted to Mediterranean climates between 30°N and 45°N, characterized by hot, dry summers and cool, wet winters. We confirm the presence of this species in south‑west Idaho. This work expands its distribution range >500 km northeast from the previous report. Opatroides punctulatus could become a common pest and even displace native Tenebrionidae species.
Fraud Triangle and Fraudulent Financial Reports: A Review
Authors:   Department of Accounting, Nile University of Nigeria., Suswam Bibian Mwuese , Ugwudioha Ofili ,   Department of Accounting, Nile University of Nigeria.
Published: January 2025

Fraudulent financial reporting poses a significant threat to the integrity of the trust of stakeholders in businesses and the fraud triangle highlights key elements that contribute to the occurrence of fraud in a firm. This paper reviews extant literature on fraud triangle and fraudulent financial reports of firms. Findings shows that fraud is a multifaceted phenomenon, whose contextual factors may not fit into a particular framework. Consequently, the fraud triangle should not be seen as a sufficiently reliable model for anti-fraud professionals. The paper therefore recommends that a study to identify a fraud mechanism to detect and predict fraud in financial statements be carried out.
Characteristics of structural changes of the retina in early period of traumatic optic nerve damage in the experiment
Authors: Leskiv Halyna , Moyseyenko Nataliya
Published: January 2025

The aim of this study was to characterize the structural changes of the retina in the early period of traumatic damage to the optic nerve.
Materials and methods. The research used a model of crushing the optic nerve. The study was conducted on 30 mature rabbits with a body weight of 2.0 kg to 2.5 kg. Morphological examinations included light and electron microscopy. The retina of the right eye (control) and left eye (lesion side) was evaluated on the 14th day of the experiment.
The animals were kept and removed from the experiment (through an overdose of narcotic drugs – ketamine) in accordance with the "Bioethical Requirements of the Helsinki Declaration on the Ethical Regulation of Medical Research". Protocol No. 125/22 dated March 24, 2022.
The results. The results of the morphological study showed structural changes occurring in the retina on the 14th day after traumatic damage to the optic nerve, namely the presence of microcirculation disorders and the development of edematous and destructive processes. Neurons exhibit degenerative changes such as karyopyknosis, vacuolization, and colliquative necrosis. Lipofuscin inclusions were recorded in the layer of nerve fibers. On the other hand, presumably restorative and compensatory processes are observed, such as the appearance of young mitochondria and endoplasmic reticulum hypertrophy and hyperplasia.
The thickness of the layer of ganglion cells of the retina increased by 52 %, and the nerve fibers layer – by 35 % on the affected side compared to the control side. What is found may be the result of the damage itself, but at the same time it can be seen as a protective mechanism and contribute to future recovery.
Conclusions. It was found that changes in cytoarchitectonics of the retina in the early period of traumatic damage to the optic nerve are manifested by a combination of degenerative and restorative processes
Analysis of the environmental impact of phosphate mining on the example of Djebel Onk deposit (Tebessa), Algeria
Authors: Yahiaoui Younes , Nettour Djamel , Chaib Rachid , Gherbi Cherif
Published: January 2025

The object of the study is natural phosphates, which play a major role in various industrial sectors, ranging from agriculture to pharmaceuticals, via the metallurgy and chemistry. In Algeria, their importance in the international market is significant, thanks to the deposits of Djebel Onk, located in the south-eastern part of the region of Tebessa. However, the mining and processing of these phosphates lead to waste significant, both in liquid form than in solid, raising significant environmental concerns. In this perspective, a thorough analysis is necessary for a rational and hard reliable, ensuring the preservation of the environment. This research was undertaken to quantify and analyze the distribution of various heavy metals in the phosphate waste generated by Djebel Onk plant (Kef Essennoun deposit). These wastes are crucial to achieve the objectives of sustainable development in relation to public health and the environment. The work focuses on the study of samples of the different releases of the treatment processes. These latter were subjected to a characterization of different analysis techniques, qualitative and quantitative, namely: XRD, IR, XRF, SEM and AAS. The results obtained distinguish differences are notable between the levels recorded by the raw phosphate and those samples wastes of treatment processes. Thus, the waste produced consists of 59.2 % dolomite, 20.5 % calcite, and 19.8 % fluorapatite. The presence of kaolinite was also noted in these residues, though in a small proportion (0.5 %). It has also been noted that these concentration of the elements in trace metal increases relatively with the decrease of the diameter of the grain size, in particular in the mud. This shows that the efficiency of the modes of treatment will allow for some cases, reduce the concentration of elements in the phosphate studied. This opens up promising research opportunities for scientists and engineers to develop more efficient and advanced treatment methods.
Assessment of the global artificial intelligence market in healthcare
Authors: Malyshev Victor , Lipskyi Yurii , Kovalenko Viktoriia , Gab Angelina , Shakhnin Dmytro , Orel Olha
Published: January 2025

Recently, there has been a significant increase in the use of artificial intelligence in healthcare, an increased trust of healthcare providers in artificial intelligence, and the interest of investors in the development of healthcare solutions based on artificial intelligence. The vast majority of providers of medical services and technologies, as well as of biomedical companies, are using artificial intelligence which confirms the great demand in the field of health care. The increased adoption of artificial intelligence techniques in medical applications has led to the focus of key market participants on new products and technical connections to expand commercial production.
The object of research is the world market of artificial intelligence in healthcare. Factors influencing the market positively and negatively have been identified. The general characteristics are given, as well as key points of the state and development of the market. The market is segmented by geographic regions, applications, therapeutic area support, market components, technologies, and usage. According to the segmentation of the world artificial intelligence market in health care by geographical regions, the largest market share belonged to the segment of the North American region (45 %); by application – to clinical trials segment (22.7 %); by the support of therapeutic areas – to radiology segment (75 %); by artificial intelligence components – to software segment (41 %); by technologies – to machine learning segment (33.1 %); by use – to medical imaging and diagnostics segment (27.1 %).
The main strategic trends and directions of further development of the market of artificial intelligence in health care are provided. The dynamics of the market in terms of growth factors, market opportunities, limitations, and challenges are considered. Important factors inhibiting the development of the artificial intelligence market in the field of health care are the lack of qualified specialists and ineffective cooperation between the public and private sectors.
Data on competitive tech giants and artificial intelligence healthcare powerhouses are provided.
Implementation of block artificial cooling units for gas preparation
Authors: Rubel Victoriia , Maslenko Maksym
Published: January 2025

The object of research is the process of implementation and use of block artificial cooling units in the technology of natural gas preparation.
The research has confirmed the high efficiency of using artificial cooling units. Due to deep gas cooling, it is possible to achieve a significant increase in condensate production and improve gas quality. In addition, modern units are characterized by high energy efficiency and compactness.
A comprehensive analysis of existing gas preparation technologies and a comparative assessment using block artificial cooling units revealed a number of significant advantages of the proposed system, namely:
– block units provide deeper removal of heavy hydrocarbons, water and other impurities, which improves the quality of the final product;
– due to lower gas temperature, more intensive condensation of heavy hydrocarbons is achieved, which leads to additional extraction of valuable components;
– modern block units are equipped with energy-efficient equipment, which reduces energy costs;
– the units have a modular design, which facilitates their transportation, unit and maintenance;
– the use of block units allows to reduce emissions of harmful substances into the atmosphere;
– the ability to adapt to different operating conditions and product quality requirements.
The study found that existing natural gas preparation technologies have a number of disadvantages, such as:
– low efficiency of gas purification;
– high energy consumption;
– complexity of maintenance;
– large dimensions of the equipment.
Despite some drawbacks, the introduction of block artificial cooling units is a promising direction for the development of the gas industry. The results of the study indicate the high efficiency of this technology and its economic feasibility in the long term.
Development of an algorithm for assessing the fair value of non-current assets for higher education institutions
Authors: Bezhenar Alyona
Published: January 2025

The object of research is the algorithm for assessing the fair value of non-current assets for higher education institutions.
The research problem, which is solved in the course of the work, is the lack of a clear algorithm for assessing the fair value of non-current assets of higher education institutions. There is also no methodological support for assessing the fair value of non-current assets taking into account the industry specifics of higher education institutions.
The work has developed an algorithm for assessing the fair value of non-current assets of higher education institutions, which includes two directions: assessing the fair value of non-current assets independently for higher education institutions; assessment with the help of an assessment entity. The algorithm for assessing the fair value of non-current assets independently by higher education institutions is identified as the main direction, which involves the implementation of the following actions:
– creation of an assessment commission;
– approval of the head’s order for the assessment;
– the presence of an active market;
– the possibility of identifying the object;
– the presence of methodological support for calculating fair value.
The methods of assessing the fair value of non-current assets were investigated, among which: market, cost and income. The market method of assessing the fair value of non-current assets, which is the easiest to apply, was determined as the recommended one for higher education institutions. Its advantages and disadvantages were summarized, among the advantages the market factor of supply and demand for similar objects was highlighted. The structure of the Methodological Provisions for assessing the fair value of non-current assets (NA) was developed according to the following points:
– general provisions;
– criteria for allocating groups of NA subject to assessment;
– criteria for identifying NA;
– the presence of active market conditions;
– methods of assessing fair value;
– requirements for drawing up an Act on the valuation of non-current assets.
Development of a fuzzy production model for assessing the degree of information security in international cooperation
Authors: Mulesa Oksana , Bohdan Yurii
Published: January 2025

The object of research is the methods of assessing the information security indicator in the process of international cooperation.
The problem of unification and simplification of the processes of assessing the degree of information security is considered in order to reduce the involvement of human and material resources in them, using the apparatus of fuzzy set theory to take into account the conclusions of competent experts.
A fuzzy production model of assessing the degree of information security is developed, which is based on the use of expert knowledge and fuzzy logic methods. A step-by-step approach is proposed for identifying potential risks, classifying them by categories and calculating influence coefficients. An iterative assessment method is created, which allows obtaining a numerical indicator of the degree of information security. Heuristic rules for determining the effective assessment of the degree of information security are developed, taking into account the criticality factor and influence coefficients of different risk categories.
A classification of potential information security risks in international IT projects is proposed. An example of constructing production rules for a fuzzy knowledge base is demonstrated.
The results are explained by the use of systems analysis to take into account the relationships between different risk categories and the use of fuzzy logic to work with uncertain and incomplete data. The model is based on production rules that integrate expert judgment and allow for adaptive analysis in changing conditions of international cooperation.
The developed model can be used to assess information security in small and medium-sized international projects, where it is necessary to provide a quick and effective assessment of the level of security without involving significant resources. The model is especially useful in conditions where the data is fuzzy or incomplete, and the risks vary depending on the specifics of cooperation between different countries and organizations.
The impact of labor resources on the economic security of an enterprise in the sustainable development concept
Authors: Andriushchenko Kateryna , Buriachenko Andrii , Liezina Anastasiia , Lavruk Oksana , Korzhenivska Nataliia , Slavina Nataliia
Published: January 2025

The functioning and development of enterprises largely depends on economic security, which consists of many functional components. The object of the study is the personnel security of the enterprise, and the paper itself is focused on identifying its factors that determine the level of labor safety. Analysis and assessment should become an important component of developing a labor safety strategy in the context of sustainable development. Currently, there are various methods that allow analyzing labor resources and their condition, but their use does not always make it possible to determine the level of sufficiency of characteristics; uncertainty arises that prevents a more objective assessment of situations. The study shows the problems of personnel security, considers and analyzes its components, and proposes an analysis method based on the fuzzy set method, which allows calculating the impact of each component with a greater degree of reliability. Using the fuzzy set method, an assessment of the personnel security of Joint Stock Company “National Nuclear Energy Generating Company “Energoatom” (JSC NNEGC Energoatom, Kyiv, Ukraine) for five years (2018–2022) was carried out, which made it possible to conduct a more objective analysis. Qualitative assessment of the impact of such indicators as average wages; frequency of injuries; level of saturation with specialists; level of professional training of employees; average age of employees; the share of young specialists is given. Starting from 2020, as the analysis showed, there has been a decrease in the level of personnel security indicator. The reason for the decrease in the level of personnel security of the enterprise was the decrease in the level of specialists in the total number of employees, especially young specialists, as well as the deterioration of the dynamics of employee training. The paper proposes measures to increase the level of personnel security of JSC NNEGC Energoatom.
Improving monitoring of water quality characteristics in artificial water storage facilities in Ukraine
Authors: Shara Svitlana , Sharyi Grygorii
Published: January 2025

The object of research is the hydroecological situation in the surface waters of Ukraine, indicated by the data of modern monitoring of surface waters, especially in the part of the Dnipro basin that forms the Kremenchuk Reservoir. Ukraine has not formed a holistic system of measures for monitoring and maintaining the quality of surface waters and state supervision over diseases associated with drinking water. The qualitative characteristics of drinking water are determined by the ecological state of the surface water bodies that are sources of drinking water. Therefore, this work is devoted to determining the need and ways to improve the state monitoring of the qualitative characteristics of waters in artificial water-accumulating objects and parts of the river basins that form them.
The work uses scientific methods of systemic analysis, generalization and systematization, takes into account synergistic approaches in hydroecology and consideration of possible development scenarios based on the autopsy method. It is shown that diagnostic water monitoring covers only a small part of water bodies in Ukraine, and the modern hydrological monitoring network of Ukraine has up to 400 posts, including chemical pollution in half of the points, which is not enough. The state of the legal field of development of the water strategy of Ukraine, the monitoring mission of the state and the implementation of the legislative framework of Ukraine to EU requirements are analyzed, but the state of surface waters in Ukraine encourages to study the experience of water protection in European and world countries. This experience indicates that in the field of monitoring and protection of surface waters in Ukraine, a much higher and more accurate level of monitoring and a more stringent level of state regulation of water relations towards greening are needed.
The work develops a structural and logical scheme of factor analysis, including systems of hydro-ecological monitoring of the formation of the aquatic environment of part of the Dnipro basin in the Kremenchuk Reservoir area. The need for systematic improvement of monitoring of water quality characteristics in artificial water storage facilities, which is the Kremenchuk Reservoir, and the need for a significant concentration of monitoring points, both in the reservoir and in the Dnipro basin that forms it, has been identified. A change in monitoring points and systematic diagnostics of reservoirs using modern capabilities of satellite sounding of water bodies within the framework of the greening of water relations in Ukraine has been proposed.
Research of methanol content in technological flows of facilities that process gas preparation by low-temperature separation method
Authors: Dmytrenko Viktoriia , Podoliak Taras
Published: January 2025

The object of research is methanol as an inhibitor, which is used in the process of collecting and preparing products from gas, gas condensate, and oil fields to protect against hydrate formations. It is important to ensure the rational consumption of this inhibitor, taking into account its solubility in gas, water, and liquid hydrocarbons. This work is aimed at analyzing the use of the methanol hydrate formation inhibitor in the process of low-temperature gas preparation and determining ways to use it more effectively.
The work presents the results of modeling the distribution of the hydrate formation inhibitor along the technological flows of low-temperature gas separation units according to the following schemes:
– low-temperature separation with gas cooling due to the Joule-Thompson effect;
– compression of gas from wells using PCS (pressure compressor station) + low-temperature separation with gas cooling due to the Joule-Thompson effect;
– compression of gas from wells using PCS + low-temperature separation with gas cooling due to the operation of a turboexpander unit;
– compression of gas from wells using PCS + low-temperature separation with gas cooling due to the operation of an artificial refrigeration unit (propane refrigeration unit).
The use of a computer simulator allowed to track in detail the distribution of methanol during the gas preparation process. The iteration method determined the minimum values of methanol consumption at which the hydrate-free operation mode of the equipment is maintained. Based on the modeling results, an analysis of methanol content in technological flows was performed. And the patterns of inhibitor separation in the separation equipment were also determined, namely, the dependence of methanol distribution on gas pressure in separators, and the methanol content in the output lines of gas preparation units.
It was established that the results of the study can be applied in the development of technologies for the collection, regeneration and reuse of methanol in technological processes of low-temperature gas preparation. The practical value of the results lies in the possibility of improving typical methods of protecting equipment from hydrate formations by developing an automated inhibitor supply system that, by monitoring the parameters of the technological process, changes the inhibitor dosage and ensures its economical use.
Theoretical and practical substantiation for prediction of equivalent dose rate of gamma radiation at the Sukhachivske tailings storage facility I section
Authors: Korotaiev Volodymyr , Bielikov Anatolii , Pylypenko Oleksandr , Podkopaiev Serhii , Tkachuk Oleksandr , Shalomov Volodymyr
Published: January 2025

The object of the study is the Sukhachivske industrial site, tailings storage facility section I (Ukraine). The main reason for conducting the study is to establish actual and forecast numerical values of absorbed and exposure dose rates. The state of radiation contamination of the tailing’s storage facilities of the Sukhachivske industrial site was analyzed. The actual and prolonged levels of equivalent dose rate, absorbed dose rate, and total personnel exposure dose were determined. Dependencies were established that allow determining approximate numerical values for specific conditions and certain areas using the finite element method with subsequent transfer of values to 2024–2027. Based on the conducted studies, the dynamics of contamination at the Sukhachivske tailings storage facility section I was predicted. The estimated, forecast, and actual values of personnel exposure doses were determined for the period from 2010 to 2023. New methods and algorithms for instrumental measurement of radiation parameters at the tailing’s facilities of the former uranium production facility of the Prydniprovsky Chemical Plant have been developed. The state of radiation contamination of the tailing’s facilities of the Sukhachivke industrial site has been analyzed. The actual and prolonged levels of equivalent dose rate, absorbed dose rate, total personnel exposure dose, and contamination levels of the territories adjacent to the tailings facilities have been determined. Monitoring studies over ten years have allowed to determine the actual values of the exposure dose rate, which range from 0.08 to 0.21 μSv/h with certain local values up to 0.26 μSv/h. In general, the total personnel exposure dose does not exceed 1.1–1.4 mSv/year. The obtained data on prognostic values, in turn, make it possible to predict the further radiation situation at the Sukhachivske industrial site in the coming years. As well as to improve the system for calculating the total effective radiation dose, both to the personnel of the radiation-hazardous facility and to the population living near the industrial site.
Development of a traffic decongestion model at Constantine city to improve urban mobility: case of the Zouaghi Slimane crossroad (Algeria)
Authors: Boukebbab Salim , Soulmana Billal , Kelilba Mounira
Published: January 2025

The object of the study is modeling traffic congestion. For modeling traffic congestion in the aim to get better fluidity of road traffic mainly in urban areas, it is necessary to use powerful computers, ahead the complexity of the task. Because, road traffic is a complex phenomenon especially at crossroads, firstly due to the high number of users who use it, secondly the nature of the crossroads which have a complex mesh network. In this paper, a mathematical approach based on the Greenshield model who interested in the study of traffic performance at crossroads is developed. This model permit to control and regulate traffic urban which must meet various objectives like: minimizing wait times for vehicles at crossroads, optimization of traffic flows on the road network. The application treated in this papier is the Zouaghi Slimane crossroads of Constantine city (Algeria). According obtained results, the time spent at crossroads Zouaghi Slimane can reach more than 45 minutes and more for day. This situation brings to asking the following question: how to reduce the travel time lost at this crossroads? To give the answer at this last question, the first step is to considering the different variables that characterize the progressive movement of vehicles on a road. In the objective to give a mathematical formulation, which links, the number of vehicles present at time t over a length L of the road. Speed is one of the basic parameters of traffic flow, the relationship between the fundamental parameters of traffic considers the different variables that characterize the progressive movement of vehicles on a road permit to give a mathematical formulation which links the number of vehicles present at time “t” over a length “L” of the road. The main objective is to bring out indicators such as speeds, density and critical flows allowing to set up a dynamic management of the traffic, for a decongestion the crossroads Zouaghi Slimane.
Development of a hardware-software solution for detection of complex-shaped objects in video stream
Authors: Laktionov Oleksandr , Yanko Alina , Hlushko Alina
Published: January 2025

The object of the study is the process of diagnosing complex-shaped objects in a video stream. The paper investigates the applied problem of creating a hardware-software solution for detecting complex-shaped objects in a video stream. Single-board computers Raspberry Pi models 4 and 5 with additional UPS HAT (D) modules and 21700 batteries were used as hardware, ensuring operation in the absence of power supply. Serial Camera Interface cameras and Full HD 1080p webcams were connected to the single-board computers to study effective methods of video processing using several studied video processing architectures. Eight video processing architectures based on the Oriented Features from Accelerated Segment Test and Rotated Binary Robust Independent Elementary Features and Scale-Invariant Feature Transform methods were considered. Each video processing architecture was tested using a one-minute video, where its average performance was determined. The limitations of video processing were a region of interest of 400x300 pixels and the presence of a limited number of reference images. To automate the launch of programs on single-board computers, the systemd initialization system was used.
Known video processing algorithms were considered and a modification of the algorithm was proposed by using a double check for the presence of an object in the video stream. A hardware-software solution was implemented, consisting of a single-board computer with external cameras connected to it, and software for detecting complex-shaped objects in the video stream was created. The solution is useful as an auxiliary tool for detecting complex-shaped objects in the video stream on robotic platforms, in industry, everyday life, the educational process, and when repairing electronic modules. The practical significance of the study lies in the fact that the architecture for processing complex-shaped objects has been further developed. They provide for a double check for the presence of an object in the video stream, which increases the processing time of one frame, and on the other hand, increases the efficiency of object detection based on only one reference photo.
Control of boiler equipments during starting and stopping periods and methods of optimizing these processes through the use of a decision support system with a machine vision subsystem
Authors: Karpenko Roman , Bondarenko Yevhenii
Published: January 2025

The object of research is the automation of starting and stopping steam power boilers. The problem of automating the starting and stopping of steam power boilers is important for thermal power plants (TPP) and industrial enterprises. These processes require significant efforts from service personnel due to their complexity, partial automation and the need to take into account the human factor. It is emphasized that full automation of starting and stopping steam boilers is economically impractical, since most of the time the boilers operate in continuous automatic operations and only a short time is allocated for periodic procedures, which are mostly performed manually. However, the significant impact of the human factor at critical stages of boiler operation requires the introduction of new technologies that can increase the efficiency and safety of such operations. The study outlines the main challenges associated with steam boiler control and proposes new approaches to solving these problems. It is noted that operators often perform actions during boiler starting and stopping based on instructions or their own experience. This knowledge can be formalized and integrated into the database of an expert decision support system (DSS), which automates some of the manual actions and helps operators avoid errors. For this purpose, it is proposed to use machine vision subsystems that can validate the operator's actions, analyze the interaction of personnel with the equipment and signal about possible incorrect actions. This approach can not only reduce the risk of errors due to fatigue or stress of personnel, but also make the starting and stopping processes safer and more efficient.
It is proposed to integrate machine vision subsystems to obtain information that is difficult to measure by traditional means, in particular, regarding the operator's interaction with manual mechanisms or its presence at the workplace. The structure of the proposed DSS also takes into account the possibility of transferring knowledge bases between different objects, which ensures the scalability and adaptability of the system. The implementation of such a system is based on modern international automation standards, in particular ISA-88, ISA-106 and VDI/VDE/VDMA 2632.
Removal of methylene blue from water by NiO-modified silica gel
Authors: Yu Junjie , Tobilko Viktoriia
Published: January 2025

The objects of the study are sorption materials based on commercial silica gel and nickel (II) oxide with different mass ratios of NiO to SiO2: 1:1 and 0.5:1. To obtain such materials, expensive reagents and complex synthesis schemes are not required. In addition, they are distinguished by chemical stability, controlled morphology and have a significant number of reactive functional groups, which contributes to high adsorption capacity for various types of contaminants.
The morphology of composite sorbents was studied using the electron microscopy method, the presence of a crystalline phase of nickel oxide on the amorphous surface of silica gel was investigated by X-ray phase analysis, and the successful application of a layer of nickel-containing compounds was confirmed by infrared spectroscopy.
The main parameters of the mesoporous structure of the samples were determined by the method of low-temperature nitrogen adsorption/desorption. It was found that with an increase in the amount of the deposited oxide layer, the specific surface area and pore volume of the obtained sorbents decrease by 1.5–2 times compared to the original silica gel.
The physicochemical features of the extraction of methylene blue dye by nickel-containing composites based on silica gel were studied. It was found that modification of the SiO2 surface with nickel (II) oxide leads to an increase in the sorption capacity of materials in relation to cationic dyes. It was shown that the highest sorption capacity is possessed by a sample with a mass ratio of NiO to SiO2 equal to 0.5:1. The maximum sorption value is 21 mg/g, which is almost 2 times higher than that for the original silica gel. The adsorption kinetics is adequately described by pseudo-first and pseudo-second order models, which indicates a high affinity of methylene blue with the surface of such samples.
The results obtained indicate that the obtained sorption materials based on commercial silica gel and nickel (II) oxide can be used in the purification of water contaminated with organic cationic dyes.
Study of lyophilic properties of natural clinoptilolite as a sorbent of oil and oil products
Authors: Hrynyshyn Stanislav , Znak Zenovii
Published: January 2025

The object of research is natural clinoptilolite as a potential sorbent in the processes of water and soil purification from oil, petroleum products (A-95 gasoline, kerosene), industrial oil, benzene, toluene, hexane, water-gasoline emulsions, as well as water-organic condensate. It is known that this material has a high adsorption capacity for various organic media. Therefore, the lyophilic properties of different fractions of clinoptilolite in relation to the specified environments were investigated.
The lyophilic properties of clinoptilolite were studied using the lying drop method to measure the marginal wetting angle of different zeolite fractions using the specified media. The data obtained determined the suitability of clinoptilolite for cleaning soils and waters from these liquids.
The dependence of the wetting of clinoptilolite on the dispersion of clinoptilolite was established. All clinoptilolite fractions are characterized by high lyophilicity in all media except oil. The wettability of clinoptilolite with oil and the corresponding work of adhesion significantly depends on its dispersion. It was established that with an increase in the size of clinoptilolite particles from 0.1 to 2.5–3.0 mm, the work of adhesion increases from 13.5·10-3 to 51.2·10-3 J/m2. The influence of the surface morphology of clinoptilolite may cause this. An increase in temperature in the clinoptilolite-oil system contributes to the wetting of small fractions of zeolite with oil.
The obtained experimental data show that natural clinoptilolite with a wide fractional composition can be used to purify natural and wastewater waters and soils from the indicated organic and water-organic environments. At the same time, only clinoptilolite fractions over 1 mm are suitable for oil sorption.
Assessment of the efficiency of modern technologies for reducing greenhouse gas emissions in industrial enterprises of Ukraine
Authors: Markina Liudmyla , Todchuk Dmytro
Published: January 2025

The object of this research is the problem of greenhouse gas (GHG) emissions, which are one of the main factors of global climate change, which necessitates the creation and implementation of innovative technologies for their reduction. Greenhouse gas emissions have been found to significantly affect ecological and socio-economic systems, creating a number of challenges, such as increased risk of natural disasters, deterioration of public health and increased mortality. This causes significant economic, environmental and social losses. Leading approaches to reducing GHG emissions are analyzed, including carbon capture and storage (CCS), use of renewable energy sources (RES), energy efficiency developments, and biotechnologies for waste reuse. The advantages and limitations of these technologies are studied, as well as their potential for adaptation to the conditions of industrial enterprises of Ukraine. The importance of CCS for reducing emissions at large industrial facilities, such as power plants and cement plants. is assessed, and the important role of RES in reducing dependence on fossil fuels is determined fuel and increasing energy efficiency. The expediency of applying a comprehensive approach to the implementation of these technologies, which covers the improvement of the regulatory and legal framework, the attraction of investments in environmental protection projects, the implementation of international experience and the creation of climate funds to finance the most effective solutions, is substantiated. A new computational mathematical model is proposed, which takes into account the factors of saving resources, reducing costs for environmental protection and obtaining profits from trading carbon quotas. A three-level mechanism for the implementation of measures to reduce GHG emissions is proposed, which includes the development of regional emission reduction strategies, the implementation of programs at the local level, and the creation of centers of environmental and climate culture to coordinate actions between stakeholders. The prospects for the application of innovative technologies in Ukrainian industry as an effective tool for achieving climate goals, reducing the negative impact on ecosystems, and increasing the competitiveness of enterprises have been assessed.
Modeling the loading process of pneumatic separation channels
Authors: Kharchenko Serhii , Bilovod Oleksandra , Lytvynenko Vita , Kelemesh Anton , Tarasenko Dmytro
Published: January 2025

The object of research is the problem of uniform distribution of bulk materials across the width of the working elements of the separation equipment. Such a problem limits the productivity and quality of the process of separation of bulk materials by aerodynamic and dimensional characteristics. To ensure uniformity of the layer of bulk material across the width, an integrated design of the loading device is proposed, which consists of a gable surface with a variable angle of inclination from the center of the feed to the extreme limits of the device. The working part of the device is made in the form of surfaces of variable width, and the width of each slope of the surface increases proportionally to the distance to the walls of the housing. This allows for controlled distribution of the material across the width. The studies were conducted using analytical and experimental methods. To determine the parameters of the movement of the bulk grain medium along the integrated inclined surface, analytical expressions were obtained that take into account the parameters of the proposed loading device and the properties of the bulk grain material. The patterns of change in the rate of descent of particles of bulk grain material from the inclined surface, as well as the dependence of the velocity of their fall to the hopper bottom, were obtained. Experimental studies were based on high-velocity video recording of the process with identification of dynamic parameters of bulk material and comparison with modeling data. The adequacy of the model was confirmed by experiments with a difference of up to 3.6 %. The influence of the following significant factors on the final velocity of particles of bulk grain material (BGM) was established: the length of the sloping surface at the level of 47.5–116.5 %, then the distance from the surface to the hopper bottom at the level of 76.7–85.6 % and the angle of inclination of the sloping surface at the level of 24.4–41.1 %. The ranges of variation of the BGM particle velocities were established: the initial velocity of particles on the sloping surface 0.82–1.27 m/s, the velocity of particles descending from the sloping surface 0.85–1.43 m/s, the velocity of falling particles 0.68–1.47 m/s. The research results were rational parameters of the integrated loading device, which provides excellent particle movement velocities and leads to uniform distribution of bulk grain material across the width of the separation equipment with an inlet to outlet ratio of (1:5). The results obtained prove the existence and method of scientific and technical solution to the problem, create conditions for further research and design of separation equipment with high technological indicators.
Analysis of the project of a marketing campaign to promote robotic solutions using Random Forest classification
Authors: Vlasenko Tatyana , Vlasovets Vitaliy , Kovalyshyn Oleksandra , Bilovod Oleksandra
Published: January 2025

The object of research is marketing strategies for promotion in social networks, which are the basis for achieving the basic requirements of brands: audience commitment, brand loyalty, awareness, positioning, conversion and reputation. Because of this, a significant number of modern companies that manufacture robotic complexes are considering the possibility of implementing such strategies using a project approach.
The work is aimed at analyzing data and evaluating marketing campaigns for the promotion of robotic solutions, carried out using Random Forest classification, in order to identify patterns and increase the effectiveness of such campaigns. The analysis was conducted on the example of three advertising campaigns. The analysis showed how the criteria taken into account when displaying advertisements on social networks, namely the age category of a person, gender, interest group of a person (according to the public profile of the social network), the number of ad impressions affect the number of clicks on the corresponding advertisement. As well as the total number of people who became interested in the product after seeing the advertisement, the total number of people who bought the product after watching the advertisement. The essence of the results obtained is that the study showed the possibility of assessing the effectiveness of marketing campaigns at the early stages, the measurability of performance indicators in terms of audience reach, level of interaction and conversion into reverse actions. The results of the study reflect the complex relationship between the conversion indicators of advertising campaigns and the main criteria for their implementation, emphasizing the importance of a project approach and the use of machine learning for building marketing campaigns. The study focuses on practical aspects. From a practical point of view, mastering the basic metrics of data mining, segmentation, the ability to use A/B testing and the use of machine learning methods, in particular the Random Forest classification algorithm, allows to increase the effectiveness of campaigns. And also reduce the risks of losing money due to incorrect conclusions regarding the segmentation of target audiences. The results of the study can become the basis for the formation of new strategies for conducting marketing campaigns when promoting robotic systems, adjusting existing ones, capable of effectively and flexibly adapting depending on the target audience and the dynamics of working with it.