bluuebunny/crossref_metadata_2025 huggingface dataset:
Global near-earth space coverage by zones of the use of its observation devices: concept and algorithms
Authors: Tetyana Labutkina , Ruslan Ananko
Published: November 2023

The results of the study are presented within the framework of the task of ensuring full coverage of a given area of heights above the Earth's surface (the area of space between two spheres with a common center at the center of the Earth) by instantaneous zones of possible application of orbital-based surveillance devices located on spacecraft in orbital groups of different heights in circular orbits. In the general case, the solution of the problem involves the use of several orbital groupings of different heights on circular quasi-polar orbits, which in the simplified statement of the problem are assumed to be polar. The instantaneous zone of possible application of the surveillance device is simplified in the form of a cone. The cases of using observation devices "up" (above the plane of the instantaneous local horizon of the spacecraft, which is the carrier of the observation device) and observations "down" (below this plane) are considered. The concept of solving the problem is proposed, which is based on the selection (based on the development of methods of applying known algorithms) of such a structure of each orbital grouping, which will ensure continuous coverage of a part of the given observation space (area of guaranteed observation), the boundaries of which are moved away from the location of observation devices, and then - filling the space with these areas. The work is devoted to the space theme, but by generalizing the statement of the prob-lem, varying a number of conditions of this statement and changing the "scale" of the input data, it is possible to arrive at a variety of technical problems where the proposed concept and algorithms used in its implementation will be appropriate and acceptable (in part or in full). In particular, when some surveillance systems or systems of complex application of technical operations devices are created.
Methods of increasing the level efficiency of automated systems
Authors: Valentyn Tulub
Published: November 2023

Automated systems play a key role in the modern world, ensuring efficiency and auto-mation of various processes. However, with the constant development of technology and the increasing complexity of tasks, continuous improvement and efficiency of these systems is re-quired. This article explores methods that can improve the efficiency of automated systems. Various aspects are analyzed, such as optimization of work, improvement of productivity, re-duction of task execution time, reduction of errors, and increase of accuracy. The main goal of the article is to focus on the methodologies for increasing the level of efficiency. The table shows the methodologies with a description of their advantages, disadvantages, and areas of application. In addition, additional parameters such as the degree of automation, the degree of system flexibility, and the level of autonomy are proposed. The article also proposes a new algorithm for improving the efficiency of automated systems. The algorithm is based on the use of modern technologies and approaches, such as data analysis and process optimization. The proposed algorithm has the potential to improve the efficiency of automated systems and can be adapted many times over. The research represents a significant contribution to the field of improving the efficiency of automated systems. The algorithm can be useful for re-searchers, engineers, automation professionals, and managers interested in improving and optimizing their systems.
Improving deep learning performance by augmenting training data
Authors: Dmytro Soldatenko , Viktorija Hnatushenko
Published: November 2023

Satellite image recognition is a crucial application of computer vision that has the po-tential to be applied in various fields such as disaster management, agriculture, and urban planning. The objective of this study is to determine the optimal amount of input data required and select the most effective methods of augmentation necessary for training a convolutional neural network (CNN) for satellite image recognition. To achieve this, we perform a series of experiments to investigate the effect of input data quantity on several performance metrics, including model accuracy, convergence, and generalization. Additionally, we explore the impact of various data augmentation techniques, such as rotation, scaling, and flipping, on model performance. The study suggests several strategies for identifying the saturation point and mitigating the effects of overtraining, in-cluding early stopping and dropout regularization. The findings from this study can significantly contribute to the development of more ef-ficient satellite recognition models. Furthermore, they can help improve the performance of existing models, in addition to providing guidance for future research. The study emphasizes the importance of carefully selecting input data and augmentation methods to achieve optimal performance in CNNs, which is fundamental in advancing the field of computer vision. In addition to the above, the study investigates the potential of transfer learning by pre-training the model on a related dataset and fine-tuning it on the satellite imagery dataset. This approach can reduce the amount of required data and training time and increase model performance. Overall, this study provides valuable insights into the optimal amount of input data and augmentation techniques for training CNNs for satellite image recognition, and its findings can guide future research in this area.
Management of data flows in modern industry using blockchain
Authors: Viktoriia Hnatushenko , Roman Sytnyk
Published: November 2023

Recent research and publications. "Industry 4.0" is a concept of the industrial revolu-tion, which is based on the use of modern technologies and digital innovations in production and distribution processes. The introduction of the concept of "Industry 4.0" was designed to improve the competitiveness of European industry and increase productivity and product quality. A blockchain is a distributed data structure that is replicated and distributed among network members. The purpose of the study is to improve automation processes, increase efficiency, re-duce delays and errors in information systems of industry and supply chains by using block-chain technologies in the construction of information systems. Main material of the study. The paper makes an analysis of approaches and algorithms to data management in "Industry 4.0" information systems. Blockchain algorithms are com-pared to classical approach with other databases in the client-server architecture. Conclusions. By implementing algorithms based on blockchain technology, namely by using the Merkle Tree, digital signature technology, and by using consensus algorithms in the framework of decentralized data storage in Distributed Ledger Technology, the processes of automation and efficiency in data flow management are improved, providing a secure and transparent way to store and share data that reduces delays and errors in industry informa-tion systems and supply chains.
Research of methods based on neural networks for the analysis of the tonality of the corps of the texts
Authors: Kateryna Ostrovska , Ivan Stovpchenko , Denys Pechenyi
Published: November 2023

The object of the study is methods based on neural networks for analyzing the tonality of a corpus of texts. To achieve the goal set in the work, it is necessary to solve the following tasks: study the theoretical material for learning deep neural networks and their features in relation to natural language processing; study the documentation of the Tensorflow library; develop models of convolutional and recurrent neural networks; to develop the implementation of linear and non-linear classification methods on bag of words and Word2Vec models; to compare the accuracy and other quality indicators of implemented neural network models with classical methods. Tensorboard is used for learning visualization. The work shows the superiority of classifiers based on deep neural networks over classical classification methods, even if the Word2Vec model is used for vector representations of words. The model of recurrent neural network with LSTM blocks has the highest accuracy for this corpus of texts.
USING SHARDING TO IMPROVE BLOCKCHAIN NETWORK SCALABILITY
Authors: Viktoria Gromova , Pavlo Borysenko
Published: November 2023

Blockchain is a distributed and decentralized database for recording transactions. It is shared and maintained by network nodes, which ensures its operations using cryptography and consensus rules that allow all nodes to agree on a unique structure of the blockchain. However, modern blockchain solutions face network scalability issues due to different protocol design decisions. In this paper, we discuss sharding as a possible solution to overcome the technical limitations of existing blockchain systems and different forms of its practical realization presented in recent research spurred by blockchain popularity.
Informativeness of statistical processing of experimental measurements by the modified Bush-Wind criterion
Authors: Valentin Malaichuk , Svitlana Klymenko , Nataliia Lysenko
Published: November 2023

The use of effective decision-making criteria is very important, especially when it comes to ensuring information security. Controlled attributes, such as keyboard handwriting charac-teristics, intensity of network attacks, and many others, are described by random variables whose distribution laws are usually unknown. Classical nonparametric statistics suggests comparing samples of random variables by rank-based homogeneity criteria that are inde-pendent of the type of distribution. Using the Van der Warden shift criterion and the Klotz scale criterion, Bush and Wind proposed the combined Bush-Wind criterion. It is an asymp-totically optimal nonparametric statistic for equal testing of two normal means and sample variances in a population. The article considers the problem of testing the hypothesis of sta-tistical homogeneity of two experimental measurement samples if the Van der Warden and Klotz criteria, which are formed by approximations of the inverse Gaussian functions, are re-placed by their analogues - the inverse functions of logistic random variables. Computational experiments are carried out and the informativeness of the classical Bush-Wind criterion and its analog, which is formed on the logistic inverse distribution function, is investigated. The analog of the Bush-Wind criterion proposed in this paper differs from the classical criterion by reducing computational complexity while maintaining efficiency. The empirical probabili-ties of recognizing the homogeneity of samples, obtained by conducting computational ex-periments for samples of logistic, Rayleigh and exponential random variables, indicate non-parametricity, high sensitivity and the possibility of applying the criterion in conditions of limited experimental data. The modified Bush-Wind criterion is characterized by high infor-mation content and can be recommended for statistical processing of experimental measure-ments.
Simulation modeling of systems with a complex stochastic data processing process using colored Petri nets
Authors: Iryna Kalinina , Oleksandr Gozhyj , Vladislav Nechahin , Serhii Shiyan
Published: November 2023

The article considers the process of building simulation models of systems with stochastic data processing based on colored Petri nets. A formal description of models based on colored Petri nets is presented. For simulation modeling of data processing tasks, the use of temporal Petri nets is substantiated, which allows to define and describe in detail the time intervals of the simulated process. The algorithm for building simulation models based on colored Petri nets is presented. The peculiarities of the use of temporal Petri nets in the construction of simulation models with complex stochastic data processing processes are determined. Special functions are used to assign random values. A list of functions with their detailed description and ranges of permissible values for input parameters is provided. As an example, the construction of a simulation model of the work process of the application processing center of a commercial firm is considered. The model was built in the CPN Tools environment. System parameters, variables, functions and model parameters are defined and investigated. The method of accumulating information in positions was used to accumulate statistics on the results of the models. The analysis of the results of simulation modeling of the work process of the application processing center of a commercial firm is presented.
Models and methods of learning neural networks with differentiated activation functions
Authors: Zelentsov Dmytro , Taras Shaptala
Published: November 2023

Analysis of the literature made it clear that the problem associated with improving the performance and acceleration of ANN learning is quite actual, as ANNs are used every day in more and more industries. The concepts of finding more profitable activation functions have been outlined a lot, but changing their behavior as a result of learning is a fresh look at the problem. The aim of the study is to find new models of optimization tasks for the formulated prob-lem and effective methods for their implementation, which would improve the quality of ANN training, in particular by overcoming the problem of local minima. A studied of models and methods for training neural networks using an extended vector of varying parameters is conducted. The training problem is formulated as a continuous mul-tidimensional unconditional optimization problem. The extended vector of varying parameters implies that it includes some parameters of activation functions in addition to weight coeffi-cients. The introduction of additional varying parameters does not change the architecture of a neural network, but makes it impossible to use the back propagation method. A number of gradient methods have been used to solve optimization problems. Different formulations of optimization problems and methods for their solution have been investigated according to ac-curacy and efficiency criteria. The analysis of the results of numerical experiments allowed us to conclude that it is expedient to expand the vector of varying parameters in the tasks of training ANNs with con-tinuous and differentiated activation functions. Despite the increase in the dimensionality of the optimization problem, the efficiency of the new formulation is higher than the generalized one. According to the authors, this is due to the fact that a significant share of computational costs in the generalized formulation falls on attempts to leave the neighborhood of local min-ima, while increasing the dimensionality of the solution space allows this to be done with much lower costs.
Mulsemedia data consolidation method
Authors: Dmytro Rvach , Sulema Yevgeniya
Published: November 2023

The synchronization of multimodal data is one of the essential tasks related to mulse-media data processing. The concept of mulsemedia (MULtiple SEnsorial MEDIA) involves the registration, storage, processing, transmission and reproduction by computer-based tools of multimodal information about a physical object that humans can perceive through their senses. Such information includes audiovisual information (object's appearance, acoustic properties, etc.), tactile information (surface texture, temperature), kinesthetic information (weight, object's centre of gravity), information about its taste, smell, etc. The perception of mulsemedia information by a person is the process that exists over time. Because of this, the registration of mulsemedia data should be carried out with the fixation of the moments of time when the relevant mulsemedia information existed or its perception made sense for a human who supervises the object as mulsemedia data is temporal. This paper presents a method that enables the consolidation and synchronization of mulsemedia data using the principles of multithreading. The universal method was designed to support combining data of different modalities in parallel threads. The application of the proposed method solves problems associated with integrating data of different modalities and formats in the same time interval. The effectiveness of applying this method increases by us-ing multithreaded distributed computing. This method is designed for use in the development of mulsemedia software systems. The modified JSON format (TJSON – Timeline JSON) was proposed in the paper, as well. TJSON-object is a complex data structure for representing the synchronized mulsemedia data and their further processing. The proposed method can be further extended with other approaches and technologies. For example, artificial intelligence methods can be applied to assess the correlation between data from different modalities. This can help improve the method's accuracy and the output files' quality.
Research of the efficiency of computing services management platforms in the organization of fog computing
Authors: Kateryna Ostrovska , Mykita Sherstyanikh , Ivan Stovchenko , Yury Kaliberda
Published: November 2023

The work is devoted to studying the effectiveness of computing service management platforms in the organization of Fog Computing. As part of the work, the effectiveness of container orchestration platforms with the Fog computing organization is being studied. During the research, it is necessary to complete the following tasks: 1) select literature, scientific publications and Internet articles necessary for the research; 2) inspect container orchestration platforms; 3) determine the key requirements and criteria for conducting the study; 4) design and implement an automatic testing utility; 5) conduct a study of the effec-tiveness of container orchestration platforms with the organization of fog computing; 6) ana-lyze the results obtained and draw related conclusions. Deployment of Docker containers is organized. Docker Swarm is used to create a clus-ter. The problems of measuring the following parameters are solved: deployment time of one container, deployment time of a group of containers, response time of the horizontal zoom task, transmission delay time. The analysis of the obtained test results is carried out.
Lithium Brine Analytical Database of Utah: Second Edition
Authors: Rupke Andrew , Boden Taylor
Published: November 2023

The accompanying database is a compilation of analytical data from brine or water samples in Utah that includes lithium concentrations. The data were collected from published and unpublished sources. This second edition is an update that includes data from the first edition (Rupke and Boden, 2020) and adds additional records. We also added some minor detail to previous records, particularly in relation to how units (e.g., ppm or mg/L) were recorded in source documents. Our intent is to continue to add additional analyses to this database as time allows and more data are discovered or become available. Users of this database should be aware that the quality of the analyses from source to source is likely to be variable and the data are presented “as is”; potential low-quality data were not removed. The database is in spreadsheet (Microsoft Excel and csv) and geodatabase formats.
An Investigation of the Cognitive Awareness of Science Teacher Candidates on Sensors
Authors: Durkaya Figen
Published: November 2023

The present study has been developed in order to inquire the cognitive awareness of the 2nd grade-level students of the Science Teaching program on “sensors”, which has an important place in the development of the robotic and automation systems. In the study, the method of case study, which is one of the qualitative research motifs, was used. As the data collection tool of the study, the semi-structured interview form composed of open-ended questions, which was prepared by the author of the study, was employed. A great majority of the students stated that sensors were devices sensing the physical changes in the environment in place of human beings. In addition, they also stated that sensors were used in today’s technology for the purposes of imaging, control and protection. It was determined within the scope of the study that, although the students knew about the types of sensors, they couldn’t realize the other sensors they encountered in their environment in their daily lives.
Challenges and Solutions in Developing Right Hand Techniques in Amateur Violin Education
Authors: Taş Fırat
Published: November 2023

Amateur music education, which individuals pursue with a hobbyist spirit based on their own desires and interests, can be defined as music education received for personal enjoyment. In Turkey, it is observed that individuals engaged in amateur music education mostly focus on instrumental training, with the violin being one of the most preferred instruments. In the process of violin education, which holds significant importance in both professional and amateur instrumental training, the identification and resolution of issues related to the right hand is crucial for a healthy progression of the education process. This study, which aims to examine various right-hand problems encountered by amateur violin students and to offer solutions, uses a mixed-methods approach that collects and analyzes data from both qualitative and quantitative sources. The related literature was examined in the qualitative portion of the research to identify the right hand-based challenges faced in amateur violin education and to expose the current state of the problem. The quantitative data utilized in the study were gathered by the researcher’s examination of the participants’ video recordings (n=10)in which they perform assigned musical exercises that require different bowing techniques. The six relevant items of the “String Performance Rating Scale” developed by Zdzinski and Barnes (2002) were used in the evaluation of the participants’ video recordings. Based on the obtained data, solution proposals were developed for resolving the issues related to the right-hand technique.
Mathematically Giftedness from the Perspectives of Preservice Mathematics Teachers
Authors: Arabacı Duygu , Danişman Şahin
Published: November 2023

This research aimed to examine the views of preservice mathematics teachers (PMTs) on mathematically giftedness. Case study, one of the qualitative research design, was used and the study involved 25 sophomore mathematics teaching undergraduate students from Turkey. Data were collected with a semi-structured interview form with open-ended questions and analyzed with content analysis method. As a result of the analysis of the data three themes comprising of definitions of giftedness, characteristics of gifted students including sub-themes of cognitive, affective and social traits, and mathematically gifted students including sub-themes of cognitive and affective traits were emerged. As a result of the study it was determined that the majority of the participants thought that the gifted students have exceptional performance in intelligence or creativity in a spesific area. The cognitive traits of gifted students were favorably listed as being curious or asking questions, strong verbal skills, high performance compared to the peers, fast thinking and learning, creativity and abstract thinking. The affective traits mainly included sensitivity, sense of justice, impatience, sense of humour, intense interest/concentration, diligence and patience, responsibiltiy, curiosity, perfectionism and motivation. The social characteristics of gifted were emerged as preference to communicate with adults, enhanced social relationship (resulting in leadership), rarity in society and valued by society.  On the other hand, characteristics of mathematically gifted students have been classified as cognitive and affective traits according to the views of PMTs. Cognitive traits of mathematically gifted students mostly composed of quick, unusual and multiple solutions to problems, analytical thinking, proficiency in mathematics, interest in numbers at an early age, and questioning. Affective characteristics of mathematically gifted students have been found to be introversion, peer disapproval, self-confidence, responding maturely, good sense of self-expression, sense of wonderment, and willingness to learn. As a result, most of the views of PMTs were found to be similar to the literature. Considering that the participants took elective course "Teaching Mathematics to Gifted Students", it can be stated that it is important to give lectures on giftedness to prospective teachers in their undergraduate education.
Examination of the Texts Examination of the Texts and Visuals in the “Cell Divisions” Unit in the 10th Grade Science High School Biology Text-Book in Terms of Scientific Content
Authors: Sevinç Ömer Seyfettin , Çiçek Zübeyde
Published: November 2023

In this study, it was aimed to examine the visual content and expressions in the texts in the “Cell Divisions” unit in the 10th Grade Biology textbook of the Ministry of National Education, Secondary Science High School, taught in the 2022-2023 academic year, in terms of scientific content. The data sources of the research, in which the case study design and document analysis data collection technique, which are among the qualitative research designs, are used, constitute the relevant textbook. National and international reference books were used to evaluate the scientific conformity of the expressions and images in the texts in the relevant unit in the textbook, which was examined by descriptive analysis by three field experts in Biology and Science. According to the results of the research, it was determined that the scientific content of the texts and images in the “Cell Divisions” unit in the MoNE Secondary Science High School 10th Grade Biology textbook could not be created in full compliance with the required qualifications, and there were missing, incorrect expressions and representations. Since this situation will cause wrong learning and misconceptions in students, it is recommended to rearrange the relevant texts and visuals.
Musicogram Use by Preschool Teachers in Listening Activities
Authors: Türkoğlu Didem , Yaşar Münevver Can
Published: November 2023

Limited and mostly superficial exposure to music experiences during childhood negatively affects various musical competencies that develop early on, such as auditory and perceptual skills, a sense of rhythm, and the ability to sing in harmony. High-quality music education in early childhood can only be achieved by incorporating meaningful and active music listening activities into teaching practices by teachers, creating learning environments aimed at enhancing musical skills in children. The learning needs, motivations, and preferences of teachers shape the musical practices in music education. The selection of techniques for implementation, preparation, or equipment deficiencies leads to a series of interrelated outcomes affecting teachers and children. With this aim, the research was conducted to gather the opinions of preschool teachers regarding the use of musicograms in their music activities and to identify the shortcomings in the appropriate use of musicograms for their intended purpose. The research employed a qualitative research method with a case study design. The study group consisted of 33 teachers working in preschools. Data was collected using the focus group technique, and the data collected were analyzed using content analysis. As a result of the research, it was determined that teachers mainly included song activities (singing and listening), rhythm activities, and, to a lesser extent, musical games (ront), and creative movement and dance activities within the framework of music activities. It has been found that most teachers do not know what “musicogram” means. Musicogram was defined as “musicomoviegram,” essentially a musical animation. Additionally, it was determined that teachers need in-service and post-service support, prefer music activities to be conducted by specialized music teachers, emphasize the use of music more as a conceptual tool than for its artistic content, face material and equipment shortages, and particularly lack theoretical and practical background in using musicograms in listening activities. Teachers were found not to include different types of music that reveal changes in musical features such as dynamics, meter, and tempo in their classrooms, and they did not express a need to include such music types.
Adaptation of Children in Kindergarten and Prevention of Repeated Respiratory Morbidity
Authors: Жукова Л.И.
Published: November 2023

Статья посвящена вопросам адаптации ребенка в детском саду. Изложены основные проблемы психологической, физиологической, социальной и медицинской адаптации; отмечены факторы, оказывающие влияние на привыкание ребенка к детскому саду (возраст, состояние здоровья, уровень развития различных навыков, уровень коммуникабельности). Выделены прогностические признаки затруднения и признаки нарушения процессов адаптации к детскому коллективу. Уделено внимание фазам адаптации (острая, подострая, компенсация), степеням адаптации (легкая, средняя и тяжелая), а также этапам адаптации (трудности адаптации, постепенное привыкание и полное завершение адаптации). Отмечена одна из проблем адаптации в детском саду – повторная респираторная заболеваемость детей. Уделено внимание особенностям иммунитета у детей в разные возрастные периоды, выделены критические периоды развития иммунной системы, когда ребенок наиболее восприимчив к различным инфекционным возбудителям. Автором представлены возможности профилактики повторной респираторной заболеваемости у детей, начинающих посещать детский сад.

The article is devoted to the issues of child’s adaptation in the kindergarten. The main problems of psychological, physiological, social and medical adaptation are outlined, the factors influencing the child’s addiction to kindergarten (age, health status, level of various skills development, level of sociability) are noted. Prognostic signs of difficulty and signs of impairments of the processes of adaptation to the children’s team are identified. Attention is paid to the phases of adaptation (acute, subacute and compensate of adaptation), degrees (mild, moderate and severe), as well as the stages of adaptation (difficulties in adaptation, gradual addiction and complete completion of adaptation). One of the problems of adaptation in kindergarten is noted – repeated respiratory morbidity in children is noted as one of the problems of adaptation to kindergarten. Attention is paid to the peculiarities of immunity in children in different age periods, critical periods in the development of the immune system are highlighted, when the child is most susceptible to various infectious agents. The author presents the possibilities of prevention of recurrent respiratory morbidity in children who begin to attend kindergarten.
Treatment Strategy for Traumatic Brain Injury Depending on Severity
Authors: Наледько А.Н.
Published: November 2023

Рассмотрены особенности нейропротекции при травмах центральной нервной системы. Травма нарушает деятельность мозга за счет как первичного (биомеханические факторы), так и последующего вторичного повреждения (активация патофизиологических каскадов). В отличие от острого инсульта, при котором целью является предотвращение гибели клеток пенумбры, основной целью при нейротравме служит предупреждение и уменьшение вторичного повреждения клеток мозга, а также усиление репаративных процессов.

The features of neuroprotection in traumas of the central nervous system are considered. Trauma disrupts brain activity due to both primary (biomechanical factors) and subsequent secondary damage (activation of pathophysiological cascades). Unlike acute stroke, in which the goal is to prevent the death of penumbra cells, the main goal in neurotrauma is to prevent and reduce secondary damage to brain cells, as well as to enhance reparative processes.
Antibacterial Therapy for Infectious Heart Diseases
Authors: Абельская И.С. , Галицкая С.С. , Качанко Е.Ф. , Козаченко М.Г. , Карпов И.А. , Горбич Ю.Л.
Published: November 2023

В данной статье рассматриваются современные подходы к антибактериальной терапии инфекционных заболеваний сердца – большой группы гетерогенных, различных по этиологии, патогенезу, морфологической характеристике заболеваний, включая инфекционный эндокардит, инфекции имплантированных внутрисердечных устройств, миокардиты, перикардиты. Рассмотрены основные патогены, приводящие к развитию указанных заболеваний, наиболее грозным из которых является инфекционный эндокардит; приведены схемы и длительность назначения антибактериальных препаратов. Целью данной публикации является дальнейшее продвижение надлежащего использования антибиотиков. Эти рекомендации предназначены для использования широким кругом специалистов, оказывающих помощь пациентам с инфекционными заболеваниями сердца.

This article includes current modern trends in antibacterial treatment of infectious heart diseases – a big group of heterogenous, different in etiology, pathogenesis and morphologic characteristic diseases, including infective endocarditis, cardiac implantable electronic device infections, myocarditis, pericarditis. Main pathogenes leading to the development of these conditions are overviewed as well as possible schemes and duration of antibacterial treatment are described. The purpose of this article is further promotion of the proper use of antibiotics. These guidelines are to be used by a wide circle of healthcare professionals treating patients infectious heart diseases.
In Expectation of a Tridemic: Circulation of ARVI Pathogens in the Republic of Belarus During the Epidemic Season 2022–2023
Authors: Аношко О.Н. , Лапо Т.П. , Савинова О.В. , Сивец Н.В. , Кищенко Е.Н. , Шмелёва Н.П.
Published: November 2023

В статье представлена информация об этиологической структуре возбудителей острых респираторных вирусных инфекций (ОРВИ) и особенностях циркуляции SARS-CoV-2, сезонного гриппа и респираторно-синцитиального вируса (hRSV) в Республике Беларусь в период эпидемического сезона 2022–2023 гг. За анализируемый период времени исследовали 1180 клинических образцов, взятых у лиц всех возрастных групп. По клинической симптоматике случаи классифицировали как острые респираторные инфекции, гриппоподобные заболевания и тяжелые острые респираторные инфекции. Генетический материал возбудителей ОРВИ выявили в 9,1% случаев. Показано, что коронавирус SARS-CoV-2 был наиболее частым возбудителем ОРВИ с установленной этиологией на протяжении всего сезона (41,7%), далее следовали вирусы гриппа (25,9%). На долю hRSV пришлось 3,7% случаев. Кроме того, установлено эпидемическое значение SARS-CoV-2, сезонного гриппа и hRSV. Получены данные о тяжести течения ОРВИ, а также наиболее уязвимых возрастных группах.

Information about etiological structure of acute respiratory viral infections (ARVI) pathogens and features of SARS-CoV-2, seasonal influenza viruses and respiratory syncytial virus (hRSV) circulation in the Republic of Belarus during the epidemic season of 2022–2023 has been presented. During the analyzed period of time, 1180 clinical samples from patients of all age groups were examined. According to clinical symptoms, all cases were classified as acute respiratory viral infections, influenza-like illness and severe acute respiratory infections. The genetic material of ARVI pathogens was identified in 9.1% of cases. It was shown that the SARS-CoV-2 was the most common causative agent of ARVI with an established etiology throughout the season (41.7%), followed by influenza viruses (25.9%). HRSV accounted for 3.7% of cases. In addition, the epidemic significance of SARS-CoV-2, seasonal influenza and hRSV has been established. Data were obtained on the severity of ARVI, as well as the most vulnerable age groups.
Pharmacotherapy Proven by Time: from Mechanisms to Clinical Effectiveness of Teicoplanin
Authors: Самсон А.А. , Кузьмин Ю.В. , Самсон М.А. , Черноокий О.Г. , Валентюкевич А.В. , Романовский Д.В. , Волков А.С. , Винарская Н.А.
Published: November 2023

Проблемы современной антибактериальной терапии объясняют возросший интерес к гликопептидным антибиотикам, имеющим активность против наиболее устойчивых грамположительных кокков: метициллинрезистентных стафилококков, пенициллинрезистентных пневмококков и энтерококков. Цель. Анализ клинической и микробиологической эффективности, переносимости тейкопланина в рутинной клинической практике. В период с 2009 г. по 2023 г. под нашим наблюдением находилось 283 пациента в возрасте 57 (23; 81) лет, которым тейкопланин назначали в режимах эмпирической и целенаправленной антибактериальной терапии или с целью антибиотикопрофилактики при выполнении хирургических вмешательств. Все пациенты получали тейкопланин внутривенно. Длительность терапии составила от 7 до 56 суток, антибиотикопрофилактики – 24, 48 или 72 часа. С целью оценки клинической эффективности, переносимости лекарственного препарата проведен микробиологический и лабораторный мониторинг. В результате исследования установлена клинико-лабораторная эффективность тейкопланина в режимах как профилактики, так и лечения инфекций, вызванных грамположительными микроорганизмами, у пациентов групп высокого риска как терапевтического, так и хирургического профиля. Низкая частота развития нежелательных явлений, медленная скорость развития резистентности позволяют применять антибиотик у пациентов с тяжелыми инфекциями, требующими проведения длительного курса антибактериальной терапии, например, с инфекционным эндокардитом.

The problems of modern antibiotic therapy explain the increased interest in glycopeptide antibiotics that have activity against the most resistant gram-positive cocci: methicillin- resistant staphylococci, penicillin-resistant pneumococci and enterococci. The aim of this study was to analyze the clinical and microbiological efficacy and tolerability of teicoplanin in routine clinical practice. In the period from 2009 to 2023, we observed 283 patients aged 57 (23; 81) years who were prescribed teicoplanin as empirical and targeted antibiotic therapy or for antibiotic prophylaxis during surgical interventions. All patients received teicoplanin intravenously. The duration of therapy ranged from 7 to 56 days, antibiotic prophylaxis – 24, 48 or 72 hours. In order to assess the clinical efficacy and tolerability of the drug, microbiological and laboratory monitoring was carried out. As a result of the study, the clinical and laboratory efficacy of teicoplanin was established in both the prevention and treatment of infections caused by gram-positive microorganisms in patients of high- risk groups of both therapeutic and surgical profiles. The low incidence of adverse events, the slow rate of development of resistance, allow the use of an antibiotic in patients with severe infections requiring a long course of antibiotic therapy, for example, with infective endocarditis.
Evaluation of physico-chemical parameters of some psychoactive compounds based on molecular modeling
Authors: Darie Iulia-Florentina , Gosav Steluta , Praisler Mirela
Published: November 2023

In this paper we have evaluated from a physico-chemical point of view some psychoactive compounds representing substituted phenethylamines which contain methoxy groups on the 2 and 5 positions of a benzene ring. The chemical potential of the investigated compounds was assessed by computing of the main quantum molecular descriptors, such as the dipole moment, the energy of the highest/lowest occupied/unoccupied molecular orbital, the gap energy, the electronegativity, the chemical hardness/softness, the electrophilicity index etc. Also, the presence of the nucleophilic and electrophilic sites was identified by using the molecular electrostatic potential diagram.
Spectral identification of cannabinoids
Authors: Paraschiv Cristina , Praisler Mirela
Published: November 2023

The combination of infrared spectroscopy and chemometrics has become a popular method of detection and / or identification of illicit substances. This review paper highlights the most frequently used analytical tools in this research area, focusing on the identification of synthetic or natural cannabinoids.
The study on the possibility of using sewage sludge in the ecological reconstruction of contaminated sites from the petroleum industry
Authors: Iorga Cristian Mugurel , Ţopa Maria Cătălina , Stancu Mihaela Marilena
Published: November 2023

One field of activity that pollutes important land surfaces with hydrocarbons is the petroleum industry. In the ecological reconstruction of contaminated sites from the petroleum industry, natural geological resources are used to fill the excavations resulting from the decommissioning of some equipment and installations. Increasing amounts of sewage sludge are generated by the growing number of municipal wastewater treatment plants. For this reason, solutions are being sought for the elimination or utilization of sewage sludge. For the decontamination of soils polluted with petroleum hydrocarbons, bioremediation technologies with the help of microorganisms, especially bacteria are used on a large scale. From  the results carried out in the present study, it appears that sewage sludge has microbiological, agrochemical, and geotechnical characteristics, which could make possible their utilization for the ecological reconstruction of sites contaminated with petroleum hydrocarbon. Thus, it would be possible to capitalize on the sewage sludge in the petroleum industry.
An implemented algorithm for computing the distributive lattice associated to a Cohen-Macaulay bipartite graph
Authors: Ion Cristian
Published: November 2023

We give an implemented algorithm for computing the distributive lattice associated to a Cohen-Macaulay bipartite graph and, consequently, the set of all minimal vertex covers of a Cohen-Macaulay bipartite graph.
PHYSICAL ACTIVITIES AND THEIR IMPACT IN THE BURNOUT SYNDROME
Authors: Rodríguez Vela Brenda Rocío , Tapia Martínez José René , Name Zapata David Omar
Published: November 2023

The burnout or syndrome of being burned, is the response that a worker gives when he perceives the difference between his own ideals and the reality of his working life, generally developing in the helping professions and frequent social interrelation. Saborío Morales, L., Hidalgo Murillo, L. F. (2015). The main objective of this research is to analyze the impact of burnout syndrome in recreational physical activities. Methodology: Type of quantitative, correlational and cross-sectional research (June to December 2022); Where 179 workers participated belonging to the Public Security Secretary of the State of Durango, Mexico. (C5), (86 men and 93 women) of an age of 25 to 50 years old, where the exclusion factors were Subjects who do not wish to participate, who have some motor impediment that prevents them from performing physical activities. Having as main results according to the perception of the subjects, the level of work stress decreases significantly from the implementation of recreational physical activities, as well as the increase in the level of job satisfaction. Concluding it is important to establish recreational physical activities that contribute to the reduction of work stress and with it, a better work environment where they feel valued for the performance of their duties in daily tasks.
PROFESSIOGRAM AND THE SPECIALIST PROFILE IN THE FIELD OF PHYSICAL CULTURE IN THE NEW ECONOMY
Authors: Budevici-Puiu Liliana , Budevici-Puiu Anatolie
Published: November 2023

The development of professionally - applied physical culture as an integral part of the general one has not lost its relevance, although the world in which we live generates essential changes in the profession of the specialist in the field of physical culture. The emergence of modern technologies, innovative scientific discoveries, the development of fields of activity, imposed, on the one hand, the approach of pragmatism in the professional training of future specialists, and on the other hand, required the acquisition of new knowledge, skills and competences. New professions appeared in all spheres of human activity, thus changing the system of professional training of specialists at different levels. Therefore, at present, the main obligation of education is the orientation towards professionalism, and which is actually part of the mission of middle and higher level institutions, respectively colleges and universities. Vocational training has become more unified and compact with the emergence and refinement of professional levels. The existence of a large number of national and international scientific works regarding the practical use of professional-applicative means and methods in the training of specialists from different fields of activity, increasing the level of their professional training, identifying new professionally oriented approaches to the realization of human capabilities represent factors that allow us to state that the most difficult problem is the compilation of a generalized description of the profession (professiogram of the efficient specialist - PES). Moreover, a process that differentiates us as individuals is highlighted by the motivation that characterizes us and by the ability to know and improve ourselves. Therefore, the reference (profile) of the specialist in the field recommends essential changes in his professional development and requalification, as the change also involves adjustments in the participants thinking way to education, the elimination of outdated stereotypes of the instructive-educational process and the transition to innovative education, focused on quality and performance.
PROFESSIONAL TRAINING OF THE COACH-SPECIALIST DEPENDING ON THE CURRENT REQUIREMENTS OF THE MODERN SPORT
Authors: Buftea Victor , Boeștean Constantin , Grosul Valeria
Published: November 2023

The high professional training of the specialist-coach at the present time is conditioned by the alert dynamics of modern sports at all Olympic events and has become a direct dependent of this phenomenon. Nowadays, the professional competence and the coach's ability to support the requirements of the athletes' training for the competition program are highlighted by the maximum possible and correct utilization of all the information and forms of training in all the directions that the respective sports event takes. Thus, the coordinates of the professional training of the coach propagate a clear definition of the training/education of the performance athlete, all of which are oriented towards the highest possible result. The professional training process itself, determined by its complex character, implies the functionality of a much more creative and well-defined instructional system. The structure of the specialist trainer's skills training program, at the present time, requires the clear expression of all knowledge actions, which should be able to subordinate the training schemes in order to develop and improve the full bio-psycho-motor potential of the athlete. In the context of the above, it should be mentioned that in front of higher education, in which the high professional training of the future specialist-coach takes place, the problem of developing and establishing modernist didactic strategies, which propel the realization of the set of educational standards and specialized objectives to obtain a high quality product. In this case, the educational unit, which educates a well-trained professional coach, must exercise all its instructional activities at an excellent level, aiming at the high degree of acquisition of pedagogical skills and the education of the highest possible sports mastery. The present study provides the determination of the set of skills characteristic of a high degree of professional training of the specialist-coach, which, being coupled and systematized on modules, would be able to complete the vast arsenal of knowledge of the subject for the most effective centralized training of the athlete. Certainly, such a classification can complete the specialist-coach's professional profile with those characteristics, which must necessarily be consistent with the needs of training athletes depending on the current requirements of modern sports.