bluuebunny/crossref_metadata_2025_split huggingface dataset:
Increasing the efficiency of stimulation of compacted carbonate reservoirs with acid solutions based on methyl acetate
Authors: Zezekalo Ivan , Zimin Oleh , Laziebna Yuliya 
Published: July 2024

The development of oil and gas deposits in compacted rocks is a promising area of development in the oil and gas industry. The object of research in this paper is the filtration properties of compacted rocks. To develop such deposits, special extraction technologies are required. Compacted carbonate rocks are easily dissolved by most acids, but for effective use, it is necessary that working solutions have very low viscosity and surface tension coefficient. Special filtration equipment has been developed for the research, which allows pumping various liquids and gases through rock samples and measuring permeability at pressures up to 1,000 bar.
To determine the effectiveness of the acid solution, three groups of samples were studied: silty sandstone with clay-carbonate cement with a permeability of 0.2–0.95 mD, compacted organogenic-detrital light gray limestone with a permeability of 0.001–0.004 mD, and organogenic-detrital gray limestone with a permeability of 0.04–0.06 mD. In the course of the study, the stimulation fluid was pumped through the samples at a pressure of 200–300 bar and a temperature of 120 °C. The efficiency was determined by the change in nitrogen permeability of the samples before and after the experiments. In general, the studied stimulation fluid allowed increasing the permeability of rocks up to 3–7 times, depending on the rock and research conditions. The solution retains its reactivity for a long time and, due to its low viscosity and surface tension, penetrates deeply into the rock and significantly increases the well treatment radius compared to conventional acid treatments. The use of the developed acid solution for well stimulation will increase the efficiency of hydrocarbon production from compacted reservoirs without the use of hydraulic fracturing
Designing tribotechnical epoxy composite materials reinforced with chopped fibers and modified with silicon organic varnish
Authors: Kashytskyi Vitalii , Sadova Oksana , Tkachuk Valentyna , Shehynskyi Oleg , Parfentyeva Inna 
Published: July 2024

The object of research is modified epoxy composite materials containing fibrous fillers treated in physical fields. The technological features of the development of tribotechnical epoxy composites, which must withstand the effects of elevated temperatures, have been considered. In this case, it is necessary to modify the structure of the epoxy polymer matrix, which is achieved as a result of the introduction of heat-resistant organosilicon varnish. Organosilicon varnishes and chopped fibers contain technological additives, which complicates the process of structuring epoxy composites and leads to the appearance of structural defects. Removal of technological additives and cleaning the surface of the aramid and glass fibers from lubricants is possible as a result of processing the components of the composition in physical fields. There is a need to study the influence of physical fields on the structuring processes of the epoxy system and the formation of the structure of epoxy composites with specified properties. Modified epoxy composites contain chopped aramid and glass fibers treated with ultrasound. The tribotechnical characteristics of epoxy composites were studied at a sliding speed of V=1.0 m/s with a change in specific load from 0.5 MPa to 1.5 MPa. The temperature in the tribocontact zone during frictional interaction rises to 100 °C with an increase in the specific load. An increase in the density of the surface layer of tribocontact of epoxy composites with fillers treated in physical fields was revealed. The practical recommendations have been compiled for the implementation of the treatment technology of components in physical fields, which ensures structuring of epoxy composites with high tribotechnical characteristics
Design of a decision support system to form optimal technological processes for parts machining based on artificial intelligence methods
Authors: Lymarenko Viacheslav , Mozhaiev Oleksandr , Khavina Inna , Tiulieniev Serhii , Mozhaiev Mykhailo , Onishchenko Yurii , Gnusov Yurii , Tsuranov Mikhail , Homon Volodymyr 
Published: July 2024

The object of this study is the process of designing a decision support system for automating the formation of technological processes (TPs) for machining parts of high-precision equipment for the aviation industry.
The task of improving the efficiency of the optimization of the process of mechanical processing of parts through the use of a decision support system (DSS) and artificial intelligence methods, which, unlike known analytical approaches, allow describing processes and phenomena that do not have strict formalization, has been solved. DSS consists of three subsystems. The first is an information subsystem for the automated formation of the structure in the technological process of machining parts of high-precision equipment. The second is an information subsystem for optimizing parameters of TP operations by cutting, taking into account the accumulation of tool wear. The third is a subsystem of control and adjustment of operating parameters.
In the process of conducting research, an approach was devised for designing optimal technological processes to machine parts of high-precision equipment. The task of designing the structure of technological processes was solved using production rules. The task of determining the optimal parameters of turning and milling operations was solved in a multi-criteria statement. The following objective functions were used: cost of the operation, specific energy consumption for the operation, and productivity of the operation. At the same time, the wear of the tool accumulated over time was taken into account. The solution was obtained by searching for the Pareto-optimal solution using genetic algorithms and artificial neural networks.
As a result of the work of DSS, an optimal technological process for machining parts of high-precision equipment for the aviation industry was formed, which made it possible to reduce the production time of one part by 5 % and reduce the total cost of production of the part by 14 %
Development of an algorithm for compressing aerospace images for the subsequent recognition and identification of various objects
Authors: Sarinova Assiya , Neftissov Alexandr , Rzayeva Leyla , Yessenov Alimzhan , Kirichenko Lalita , Kazambayev Ilyas 
Published: July 2024

The object of study is the recognition and identification of various objects in aerospace images. To solve the problems of compressing hyperspectral aerospace images with losses, the development of a compression algorithm is proposed. As a result, an algorithm has been developed for compressing aerospace images for subsequent recognition and identification of various objects using wavelet transform for processing high- and medium-resolution space images when monitoring from remote sensing satellites, based on the use of structural features of object images. In particular, orthogonal and wavelet transforms are presented, adapted for compression of hyperspectral aerospace images with losses, an adaptive discrete cosine transform algorithm is presented, followed by quantization with a loss level and compression. Thanks to a series of experiments on hyperspectral aerospace images, the effectiveness of the proposed algorithm in terms of the degree of compression, as well as the characteristics of the limits of its applicability, can be highlighted. The use of wavelets provides progressive compression of the bitstream, which makes it possible to achieve lossless compression with minimal loss of information due to the modified Huffman algorithm with a compression ratio of 9 more than 2.5 times in existing algorithms, as well as the quality metric of the restored images, the peak signal-to-noise ratio is sufficiently below 32.56.
The developed compression algorithm demonstrates the effectiveness of its application in terms of a set of characteristics and is superior to analogues. The scope and conditions for the practical use of the results obtained is a comparison of the proposed algorithm with the results of experiments obtained for universal compression algorithms for archivers and a compressor
Identifying the influence of traffic management on vehicle emissions and the distribution of air dispersion in the Makassar port area
Authors: Ariati Ariati , Arifin Muhammad Zainul , Sutikno Fauzul Rizal , Bowoputro Hendi , Miftahulkhair Muh 
Published: July 2024

Air pollution in several cities in Indonesia has been increasing significantly over the years. One of the primary triggers is the rise in motor vehicle activity. This increase is due to the improving economic conditions and the decreasing prices of motor vehicles. Vehicles produce various types of pollutants. The pollutants contained in vehicle exhaust gas are carbon monoxide (CO), nitrogen oxide (NOx), sulfur (SOx) and dust (PM).
One of the busiest areas for motorized vehicle activity is the Makassar Port Area, which is the largest port in Eastern Indonesia. This area experiences high vehicle activity. The emissions reviewed in this research are CO (carbon monoxide) and NOX (nitrogen oxide) in the Makassar Port Area which is located on Jalan Nusantara, Jalan Sulawesi, Jalan Siswa Army, Dr. Wahidin Jalan Sudirohusodo, Jalan Sangir, Jalan Kalimantan, Jalan Sarappo, Jalan Banda, and Jalan Butung.
This research utilizes historical data on traffic volume, wind speed and direction, air humidity, air temperature, air pressure, solar radiation, cloud cover and surface height. Air dispersion analysis was carried out using AERMOD software. The highest emissions obtained were 67,121 μg/m3 for CO and 9,570 μg/m3 for NOx under existing conditions and after implementing traffic management measures, the highest emissions were reduced to 45,737 μg/m3 for CO and 7,217 μg/m3 for NOx. These results conclude that traffic management can reduce air pollution. Air dispersion is not only influenced by vehicle volume but also meteorological factors. This can be seen in the dispersion results. Where, the conditions before and after traffic management showed differences in terms of the distribution of air dispersion
Machine learning opportunities to predict obstetric haemorrhages
Authors: Boldina Yu. S. , Ivshin A. A. 
Published: July 2024

Obstetric hemorrhages (OH) are the main preventable cause of morbidity, mortality and cases of "near miss" among obstetric complications worldwide. Early preventive measures based on the OH prediction allow to profoundly reduce the rate of female mortality and morbidity as well as prevent the economic costs of patient intensive care, blood transfusion, surgical treatment and long-term hospitalization. Postpartum haemorrhage (PPH) is the most frequent obstetric haemorrhage determined by one of the four causes: a uterine tonus disorder, maternal birth trauma, retention of placenta parts and blood-clotting disorder. There is still a need for the continued search for an accurate and reliable prediction method despite multiple attempts to develop an effective system for predicting OH. The solution to this may be reasonably considered an innovative method such as artificial intelligence (AI) including computer technologies capable of obtaining conclusions similar to human thinking. One of the particular AI variants is presented by machine learning (ML), which develops accurate predictive models using computer analysis. Machine learning is based on computer algorithms, the most common among them in medicine are the decision tree (DT), naive Bayes classifier (NBC), random forest (RF), support vector machine (SVM), artificial neural network (ANNs), deep neural network (DNN) or deep learning (DL) and convolutional neural network (CNN). Here, we review the main stages of ML, the principles of algorithms action, and the prospects for using AI to predict OH in real-life clinical practice.
Розроблення мобільного додатка подоружувальника
Authors: Мойсеєнко Валентин Іванович , Бутенко Володимир Михайлович , Соколов Антон Костянтинович , Яранцев Всеволод Олександрович 
Published: July 2024

В статті розглянуто абстрактний діалог. Кожній вершині графа співвідноситься конкретне зображення на екрані електронного пристрою. Натомість дуги вказують на можливі зміни станів при виконанні користувачем конкретної операції. Зважаючи на поставлену ціль наукового дослідження наукова проблема може бути сформульована в термінах математичного апарату комбінаторно – оптимізаційної задачі. В межах термінології інформаційної підтримки подорожувальників, користуючись діаграмою сценаріїв обґрунтовано доцільність розгляду двох альтернативних підходів організації діалогу користувача з мобільним пристроєм: діалог, що керується користувачем та діалог, який керується системою. Доведено, що діалог, який керується користувачем потребує конкретної дії після кожного кроку, що наглядно ілюструє граф абстрактного переходу.
Supporting future doctors: Mental health help-seeking behaviour in medical students at the University of Witwatersrand, Johannesburg, South Africa
Authors: Minty Y , Gebbhard J , Deedat A , Maraba L , Okwayo HA , Munsamy R , Mashego L , Jordaan A 
Published: July 2024

Abstract
Studies have shown that medical students may have higher rates of mental distress than the general population. Serious consequences thereof include academic failure, substance use and suicide attempts. In the wake of recent media reports of suicide in university students, mental health help-seeking behaviours and associated barriers to help-seeking in clinical year medical students at the University of Witwatersrand were examined. It was found that although formal mental healthcare was viewed favourably, medical students most often sought assistance from family members or friends rather than trained mental health professionals. The most commonly reported barriers to seeking mental healthcare were lack of time (primarily due to academic obligations) and fears of stigma and discrimination from colleagues and superiors. The need for support structures to be more easily accessible to medical students is highlighted by these findings, as well as the importance of lecturers and university staff being more familiar with the mental health screening of medical students.
A importância da liderança na gestão escolar: um estudo no <i>Campus</i> Avançado de Maricá do Instituto Federal Fluminense
Authors: Silva Antônio Carlos , Correia Neto Severino Joaquim 
Published: July 2024

This work comes from the dissertation presented to the Postgraduate Program in Technical and Vocational Education and Training at the IFFluminense. The objective was to analyze the perception of the management staff of the Maricá Advanced Campus of IFFluminense regarding the topic of leadership in Technical and Vocational Education and Training (TVET). The population studied was 09 (nine) employees and the research took place in the second half of 2023. The study methodology was developed through bibliographical descriptive research, of qualitative nature. A field research was also carried out, using a printed questionnaire as a data collection instrument, containing structured and semi-structured questions. In carrying out the analysis of the semi-structured responses of the questionnaire, the content analysis procedure was used. The results showed that the managers who participated in the study understand leadership as an attitude, a skill or a capacity. Based on the participants' responses, it was possible to identify some important factors: contributions from leadership to improve school management and contributions from the association between leadership and school management to improving teaching in TVET.
ANALISIS KEBUTUHAN LEMBAR KERJA DIGITAL BERBASIS DISCOVERY LEARNING DAN BERORIENTASI KEMAMPUAN BERPIKIR KRITIS
Authors: Susanto Doni , Andriyani Andriyani 
Published: July 2024

Penelitian ini bertujuan untuk mendeskipsikan kebutuhan perangkat pendukung pembelajaran trigonometri yang berbasis digital dan berorientasi kemampuan berpikir kritis. Subjek penelitian ini terdiri dari 25 siswa kelas X di SMA Muhammadiyah 1 Prambanan. Metode penelitian yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan instrumen pengumpulan berupa angket respon dan lembar pedoman wawancara. Hasil penelitian menunjukkan bahwa (1) capaian kemampuan berpikir kritis siswa masih rendah sehingga diperlukan perangkat pendukung pembelajaran; (2) model pembelajaran masih konvensional dan belum berorientasi pada kemampuan berpikir kritis; (3) siswa seringkali melakukan kesalahan dalam penyelesaian masalah trigonometri karena tidak terlatih dengan penugasan; (4) mayoritas siswa memiliki smartphone yang penggunaannya tidak mendukung pembelajarannya; (6) mayoritas siswa menginginkan perangkat digital dalam pembelajaran trigonometri. Kata kunci: kebutuhan, lembar kerja, Android, Discovery Learning, berpikir kritis Abstract: This research aims to describe the need for digital-based and critical thinking ability-oriented trigonometry learning support devices. The subjects of this research consisted of 25 class tenth students at SMA Muhammadiyah 1 Prambanan. The research method used in this research is descriptive qualitative with collection instruments in the form of response questionnaires and interview guide sheets. The results of the research show that (1) students' critical thinking skills are still low, so learning support devices are needed; (2) the learning model is still conventional and not yet oriented towards critical thinking skills; (3) students often make mistakes in solving trigonometry problems because they are not trained in assignments; (4) the majority of students have smartphones whose use does not support their learning; (6) the majority of students want digital devices in learning trigonometry. Keywords: need, worksheets, Android, Discovery Learning, critical thinking.
China's nuclear power in the context of decarbonization of the global energy industry
Authors: Nazyuta Lyudmyla , Stepanenko Danylo 
Published: July 2024

The global structure of energy resource consumption is analyzed. It is shown that the total consumption of energy resources in the 20th century increased almost 15 times and amounted to about 118 PWh in 2000. Of these, more than 80% were fossil (natural) energy carriers, 13 % were renewable energy sources and more than 6 % were nuclear power. This trend has continued for many years. Renewable energy sources and nuclear power are projected to dominate the growth of global energy consumption, meeting on average more than 90 % of the additional demand. China ranks first in the world in terms of GDP and the rate of development of the electric power complex, as well as in terms of production volume and the rate of development of nuclear power. The structure of electricity generation by fuel type in countries (TOP 5, 2021) with high energy consumption has been analyzed. It is shown that the main players in this market are three countries: China (30 %), USA (13 %) and India (6 %). The volume of electricity production in China is almost three times larger than in the EU countries and almost 7 times larger than in Russia. The structure of nuclear energy and China's achievements in this field are considered. It is shown that in the context of nuclear technologies (creation of fourth-generation reactors, development of technologies close to the full closed cycle of nuclear waste processing) China is already ready to significantly expand the scope of nuclear energy. Special attention is paid to the safety of nuclear facilities operations. The main problem China will face is the absence of an insurmountable barrier between civilian and military use of such technologies. This poses a serious threat to the ecology and life safety of the country. In the long term, nuclear power must also solve the problem of safe, long-term disposal of radioactive waste. It is shown that in the future China needs to re-examine its nuclear program in the context of cooperation with International Nuclear Security Organizations.
Mechanisms of Wogonoside in the Treatment of Atherosclerosis Based on Network Pharmacology, Molecular Docking, and Experimental Validation
Authors: Gong Zhaohui , Yang Haixin , Gao Li , Liu Yi , Chu Qingmin , Luo Chuanjin , Kang Liang , Zhai Huiqi , Xu Qiang , Wu Wei , Li Nan , Li Rong 
Published: July 2024

Abstract

Background
Atherosclerosis serves as the fundamental pathology for a variety of cardiovascular disorders, with its pathogenesis being closely tied to the complex interplay among lipid metabolism, oxidative stress, and inflammation. Wogonoside, a natural flavonoid derived from Scutellaria baicalensis, exhibits various biological activities including anti-inflammatory, anti-cancer, and anti-angiogenesis properties. Despite these known effects, the specific role of wogonoside in the context of atherosclerosis remains to be elucidated.
Purpose
To validate the efficacy of wogonoside in the treatment of atherosclerosis and to investigate its possible therapeutic mechanisms.
Methods
Network pharmacology was used to obtain the core targets and signaling pathways that may be efficacious in the treatment of atherosclerosis with wogonoside, which were validated using molecular docking and molecular dynamics simulations. To further validate the core targets in the signaling pathway, we performed in vivo experiments using apolipoprotein E (ApoE)-/- mice. This included pathological morphology and lipid deposition analysis of mouse aorta, serum lipid level analysis, Elisa analysis, oxidative stress analysis, ROS fluorescence assay, immunohistochemical analysis and protein blot analysis.
Results
Predictions were obtained that wogonoside treatment of atherosclerosis has 31 core targets, which are mainly focused on pathways such as Toll-like receptor (TLR) signaling pathway and NF-kappa B signaling pathway. Molecular docking and molecular dynamics simulations showed that wogonoside has good binding properties to the core targets. In vivo experimental results showed that wogonoside significantly inhibited aortic inflammatory response and lipid deposition, significantly reduced the release levels of TC, TG, LDL-C, ox-LDL and FFA, and significantly inhibited the release of inflammatory factors TNF-α, IL-1β, IL-6 and oxidative stress in ApoE-/- mice. Further molecular mechanism studies showed that wogonoside significantly inhibited the activation of TLR4/NF-κB signaling pathway in ApoE-/- mice.
Conclusion
Wogonoside may be an effective drug monomer for the treatment of atherosclerosis, and its mechanism of action is closely related to the inhibition of the activation of the TLR4/NF-κB signaling pathway.