bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF EXTREMITY FOREIGN BODY INJURIES
Authors: İMRE Erdi
Published: June 2023

Background: Extremity foreign body injuries are common in trauma departments. In this study, we analyzed demographics of these injuries so that prevention ways could be more effective.

Materials and Methods: Hospital digital archives were searched between july 2014 and march 2020 retrospectively and 146 patients were included. The demographic information, injury place, injured extremity with side, foreign body type and opacity, presence of infection, type of anesthesia performed, operation time, incision length were recorded. Data was analyzed statistically.

Results: The mean age of the patients was 25.9 ± 17.99 (range, 2-78). According to gender and side examination, 90 patients were male and 56 patients were female. Metallic object and bullet injuries were mostly seen in males and needle injuries were mostly seen in females. Injuries caused by metallic objects were significantly more common in the upper extremity (p: 0.001). Glass and needle injuries were seen significantly as indoor injuries; as well as bullet , wooden part and metalic part injuries were seen as outdoor injuries (p
Family situation during childhood and adolescence and script activities in the light of transactional analysis. Research report
Authors: Pierzchała Anna
Published: June 2023

The article is a research report based on the transactional analysis concept. The author looks for the answer to the question about the significance of the family situation during childhood and adolescence for script entries of a man at the threshold of adulthood. The study was conducted on a sample of 190 people aged 19–25 and using questionnaire techniques. Research tools (adaptation of Z. Łęski’s questionnaire, 2018) were based on the concept of miniscript by T. Kahler andH. Capers (1974). The main conclusion of the study indicates the dominant importance of the nature of the relationship between parents for the development of the child’s script entries. However, the relationship between script entries and whether the family functioned as full or incomplete was not disclosed.
Motivation and motivating in the educational process in the light of transactional analysis theory
Authors: Ratajczak Paulina
Published: June 2023

In this article selected aspects of motivating others (or lack of it) as well as generating or reducing motivation in oneself by an individual in the educational process are presented in the light of transactional analysis theory constructs, namely the structural model of ego-states, a symbiosis of the first and the second order and the model of structural pathology based on the example of contamination. In reference to this last construct, selected results of own original research are reported. The research was conducted on a sample of 50 teachers working either in kindergartener primary school. In a diagnostic survey a questionnaire was used as a data collection tool. The analysis of the results indicated that 78% of the total number of responses pointed to being expressed from a contaminated Parent ego-state, while only 22% were expressed from an uncontaminated Adult ego-state. No response coming from a contaminated Child ego-state was registered. Moreover, the kindergarten teachers showed significantly more of their uncontaminated Adult ego-state than the primary school teachers. However, no statistically significant relationship was observed between the age and the length of teaching experience versus the number of displayed contaminations or non-contaminations of the teachers.
Dreams of adult people – the first stage of characteristics with the use of Transactional Analysis
Authors: Oracz Marika , Tworzowska Kinga , Jędrczyk Paulina , Pierzchała Anna
Published: June 2023

The article is a report from the first stage of the research conducted by the authors and concerning human dreams. The aim of the study was to create a foundation for the characteristics of dreams from the point of view of perceiving the concept of passivity and activating ego states in the light of Transactional Analysis. The analyses were conducted in the qualitative paradigm, showing dream categories and presenting their dominance in particular research groups created in accordance to the participants’ sex, age, and the way of conducting the research, which is to constitute the foundation for further characteristics realised in the light of Transactional Analysis.
An integrated Bayesian Best-Worst Method and GIS-based approach for offshore wind power plant site selection: A case study in North Aegean and Marmara Sea (Türkiye)
Authors: KONURHAN Zekeriya , YÜCESAN Melih , GÜL Muhammet
Published: June 2023

In today’s world, renewable energy sources are in great demand due to the negative effects
of fossil fuels on the environment. Wind power plants are an important renewable
energy source alternative to fossil fuel consumption. Offshore wind farms established in
coastal areas and seas are used effectively in many parts of the world. The wind power
plants, especially in the Northwest region of Turkey and the Aegean coasts, constitute
an important potential. This study selects suitable sites for offshore wind farms in the
Marmara Sea and North Aegean Coasts of Turkey by integrating the Bayesian Best-Worst
method (BWM) and GIS. Bayesian BWM improves the traditional BWM integrating the
preferences of multiple experts. In the study, 17 sub-criteria were determined under
four main criteria of “technical”, “socio-economic”, “environment,” and “location”. Experts’
judgments through the filled enabled the criterion weights to be obtained. The
criteria weights found using the Bayesian-BWM model were integrated into the GIS, and
suitable locations for the offshore wind farm were determined. Accordingly, the study
area off the coasts of Aliağa, Bozcaada, and Gökçeada on the North Aegean coast, and
the part south of the Marmara Sea and the area around Kapıdağ Peninsula are suggested
as suitable areas for wind power plants.
A Visibilidade das Fontes Especializadas no Jornalismo: O Exemplo da COVID-19
Authors: Lopes Felisbela , Araújo Rita , Magalhães Olga , Almeida Santos Clara , Peixinho Ana Teresa , Duff Burnay Catarina
Published: June 2023

Durante a pandemia de COVID-19, os media noticiosos portugueses assumiram um papel fundamental na informação da população, empenhando-se em desenvolver o conhecimento sobre a doença e em promover comportamentos de prevenção para reduzir a transmissão. Para isso, socorreram-se de modo especial dos especialistas. Foi através deles que as redações procuraram dar respostas e encontrar soluções. É verdade que os interlocutores oficiais continuaram a ser recorrentes nos textos jornalísticos, mas os especialistas, nomeadamente os académicos e os médicos, adquiriram grande visibilidade. Este artigo estuda a presença das fontes especializadas nos conteúdos jornalísticos da imprensa portuguesa, apresentando parte dos resultados de uma investigação que analisou a mediatização da COVID-19. A base do estudo são as edições dos jornais Público e Jornal de Notícias, referentes ao período em que vigorou o estado de emergência em Portugal (de 18 de março a 2 de maio de 2020, de 9 de novembro a 23 de dezembro de 2020 e de 15 de janeiro a 26 de fevereiro de 2021), compondo-se o corpus de análise por 2.933 textos noticiosos e 6.350 fontes: 1.850 textos foram publicados durante a primeira fase de emergência nacional, citando 4.048 fontes; 457 foram publicados na segunda fase, apresentando a citação de 857 fontes e 626 foram publicados na terceira fase, citando 1.445 fontes. Os resultados da análise de conteúdo evidenciam a força dos profissionais enquanto fontes de informação, particularmente os profissionais da saúde e os académicos das áreas médicas e das ciências sociais. Os especialistas ultrapassaram, em termos de presença nos meios estudados, as fontes oficiais, quer ocupassem ou não cargos de destaque.
Etnologija i identitet: etnološke studije etniciteta, discipline i folklora
Authors: Šantek Goran Pavel
Published: June 2023

Studije su fokusirane na različite pojave s intencijom da se spomenuta pitanja razmotre u što širem tematskom obzoru. Mora se istaknuti i da su polazište za ove studije već objavljeni radovi, koji su izabrani i zbog druge, ne samo tematske svrhe. Radi se u najvećoj mjeri o radovima nastalima u međunarodnim istraživanjima, predstavljenima na međunarodnim konferencijama te objavljenima u zbornicima radova u Rusiji, Ukrajini, Srbiji i Bugarskoj, dijelom i na u njima standardnim jezicima. Kako su svi navedeni radovi gotovo nepristupačni domaćoj znanosti i javnosti njihovom izmjenom i doradom te objavom u ovoj knjizi želi ih se učiniti dostupnima svima zainteresiranima. Objavljenim studijama dodana je i ona neobjavljena o godišnjim običajima Hrvata u Boki Kotorskoj, koja je uvrštena u knjigu ne samo jer je tematski vezana uz njezin sadržaj već i jer želi javnosti predstaviti rezultate izvornog istraživanja kulturnih praksi na koje je ova hrvatska zajednica u susjednoj državi iznimno ponosna i koje su u osnovi utemeljenja njezina identiteta. Rad na kojemu je zasnovana prva studija jest „Culture and Identity of Bulgarians in Zagreb, Croatia from 19th to 21st century‟, a objavljen je u Godišnik na Sofijskia universitet Sv. Kliment Ohridski. Izdavač je Naučen centr za slavano-vizantijski proučvania Ivan Dujčev, br. 100 iz 2019. godine. Osnova je druge studije rad „Etnologiya v Zagrebskom universitete (2005-2017 gg.)‟, objavljen u Sovremennaya evropeyskaya sociokul'turnaya antropologiya i etnologiya. Istoriograficheskie ocherki, zborniku koji je uredila Martinova, M.J. Knjigu je objavio Institut etnologii i antropologii im. Mikluho-Maklaya Rossiyskoy akademii nauk iz Moskve u 2018. godini. U osnovi je treće studije rad „Igra i transcendencija‟, objavljen u zborniku Antropologija sporta, igara i detinjstva: zbornik radova u čast dr Aleksandra Krela (1968–2021). Izdavač knjige je Filozofski fakultet u Beogradu, a otisnuta je 2022. godine. Četvrta studija utemeljena je na radu „Voda u tradiciyniy kulturi horvativ ta galichan‟, objavljenom u zborniku Ukrayina i Horvatiya: Istorichni paraleli. Suizdavači su knjige Etnološko društvo Bojky iz Drogobycha, Ukrajina te Katedra za ukrajinski jezik i književnost i Odsjek za etnologiju i kulturnu antropologiju Filozofskog fakulteta Sveučilišta u Zagrebu. Zbornik je izdan 2019. godine. Kako je već rečeno peta studija još nije objavljena i zasnovana je na izvornoj građi i istraživanju autora u Boki Kotorskoj tijekom 2009. godine.
Oscilações no equilíbrio estático relacionadas a diabetes mellitus tipo 2 – uma revisão sistemática
Authors: Oliveira Vaneska Sousa , Santos Taynara Esperança Silva , Souza Wellington Costa , Alves Rayana Fontenele , Da Rocha Rebeca Barbosa , Cardoso Vinicius Saura
Published: June 2023

INTRODUÇÃO: A diabetes mellitus tipo 2 (DM2) é uma doença crônica sistêmica ligada às mudanças no estilo de vida, fatores genéticos e ambientais, ocasionando complicações como a neuropatia diabética periférica (NDP). Além disso, pessoas com DM2 apresentam um retardo na condução nervosa das vias motoras e sensoriais, podendo levar a alterações no equilíbrio. OBJETIVO: Descrever as alterações de equilíbrio estático em pacientes com DM2. MATERIAIS E MÉTODOS: A revisão sistemática iniciou em outubro de 2021 ocorrendo a última busca em março de 2023, os artigos foram selecionados por dois autores de forma independente nas bases de dados Pubmed, Scopus e Web of Science. Seguindo o protocolo registrado no PROSPERO e descrito com base nas recomendações do PRISMA, foram selecionados estudos observacionais sem restrição a ano de publicação e idioma, envolvendo equilíbrio de DM em qualquer idade. RESULTADOS: Foram eleitos 20 artigos com indivíduos DM e NPD em um total de 1564 voluntários, demonstrando: DM causa mudança na velocidade e deslocamento do COP alterando o equilíbrio estático, a presença da NPD piora a estabilidade corporal devido as alterações sensitivo motoras. CONCLUSÃO: Indivíduos com DM e NPD demonstram alterações na estabilidade postural como velocidade e deslocamento do centro de pressão (COP) para as direções AP e ML, com ou sem informação visual e na presença da NPD.
Prof. Dr. Muhammed İffet Şarkavî. Çağdaş Dinî Düşünce (Modern Dönem Tefsir Akımlarının Analitik İncelenmesi). Terc. Prof. Dr. Orhan Atalay-Prof. Dr. Veysel Güllüce. İstanbul: Ravza Yayınları, 2019, 310 s.
Authors: CERAN Zeynep
Published: June 2023

Prof. Dr. Muhammed İffet Şarkavî, Çağdaş Dinî Düşünce (Modern Dönem Tefsir Akımlarının Analitik İncelenmesi) adlı çalışmasında “çağdaş sorunlar karşısında dinî düşüncenin vereceği cevaplar neler olabilir?” sorusuna cevap aramaktadır. Eserin temel gayesi genelde tüm müslümanların bu sorunlara çözüm üretebilmek için sergiledikleri felsefî, kelâmî, hukukî gayretleri incelemek; özelde ise çağın problemleri karşısında müslüman müfessirlerin konumunu ortaya koymaktır diyebiliriz. Müellif müfessirlerin özellikle on dokuzuncu ve yirminci yüzyıllarda yoğunlaşan sömürgecilik faaliyetlerinin İslam coğrafyasında sebep olduğu siyasî, ekonomik, kültürel bunalımlara çözüm sadedinde ortaya koydukları fikir akımlarıyla ilk dönem İslamî kaynaklarında geçen düşünce esasları arasında çok önemli ortak noktalar bulunduğu kabulünden hareket etmektedir.
FATTY ACID CONTENTS IN GRASS PEA ELITE LINES GROWN IN DIFFERENT ENVIRONMENTS
Authors: ARSLAN Mehmet , GÖKKAYA Tuğba Hasibe , ERKAYMAZ Taner , YOL Engin , TÜRK Mevlüt
Published: June 2023

used as food and feeding. This study was conducted to characterize 15 superior grass pea genotypes grown in two locations (Antalya and Isparta) with respect to fatty acids, oil content and oil yield (Seed yield (g plant-1) × Oil content (%)). Grass pea seeds were sown in a randomized complete blocks design and an augmented experimental design in Antalya and Isparta, respectively. In the first step of study, the seeds were harvested on 25 May 2021 and 15 June 2021 in Antalya and Isparta respectively. Linoleic acid was the dominant fatty acid present in all grass pea genotypes, with its contents ranging from 39.38% (GP213) to 42.61% (GP150). Lauric, tridecanoic, pentadecanoic, palmitic and erucic acid were found at trace levels; meanwhile, oleic acid was determined as the second excess fatty acid in all genotypes, ranging from 19.12 to 21.41%. The amounts of saturated (SFA), monounsaturated (MUFA) and polyunsaturated (PUFA) fatty acids were calculated to be in the ranges of 23.82-28.57%, 19.63-22.36% and 51.06-54.43%, respectively. The oil ratios and oil yields of the genotypes varied between 0.59 and 0.80% and between 0.01 and 0.24 g plant-1. The significance t-test for mean values indicated that there were no significant differences between the locations for all fatty acid features and oil traits. These presented data showed these collection presents new superior lines with respect to oil traits
Prospects for extraction of energy resources in astroblems of Ukraine
Authors:   Institute of Geological Sciences of the NAS of Ukraine, Kyiv, Ukraine, Bagriy I. , Hafуch I. ,   Naftogaz LLC, Kyiv, Ukraine, Payuk S. ,   State Commission of Ukraine on Mineral Reserves, Kyiv, Ukraine, Solodkyy E. ,   Naftogaz LLC, Kyiv, Ukraine, Yaroshovets-Baranova K. ,   Institute of Geological Sciences of the NAS of Ukraine, Kyiv, Ukraine
Published: June 2023

Analysis of the results of complex studies of the structure and prospects of oil and gas bearing impact structures (astroblems) of Ukraine are based on the introduction of the latest technologies and equipment complexes. The purpose of the research is to assess the prospects for the production of energy resources in the astroblems of Ukraine (hydrocarbons, oil shale, brown coal, hydrogen, helium) according to the STHAGC. The paper is based on the factual material made up of the results of many years of field surveys performed according to the integrated practice of structural, thermal, hydrological, atmogeochemical surveys (STHAGC) of the impact structures. This technique has proved successful as a practical tool for prospecting of mineral reserves (hydrocarbons, underground waters) and solution of ecological problems in various regions of Ukraine (the land and water areas of the Black Sea and the Sea of Azov).

Impact structures (astroblems) should be regarded as non-traditional sources of the energy feedstock, namely, oil and gas. Prospecting and operation of these sources will permit to significantly enlarge the energy potential within the shortest time and strengthen the national security of the country. The main targets of the surveys performed by the monograph authors were the following impact structures in Ukraine: Bovtyska and Obolonska. The Bovtyskа structure is proposed as a primary object for purposeful geological exploration.
Analytical review and prospects of research in the field of small hydroenergetics and hydroenergetic potential of Ukrainian rivers
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Obodovskiy O. , Kryvets O. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: June 2023

The main directions and analysis of research in the field of hydropower and hydropower potential of Ukrainian rivers are established. A brief review of the classification of small hydropower plants is given. Estimates of hydropower potential of rivers are considered. The ecological aspects of the use of hydropower potential of rivers are highlighted. Tendencies of development of Ukrainian power engineering and, in particular, hydropower are analyzed. The role of "green" tariff for electric energy produced by small hydropower is shown. The role of "Energy Strategy of Ukraine for the period up to 2030" in the field of small hydropower is highlighted. The methodical approaches to environmental impact assessment in the construction of small hydropower plants are characterized. The prospects for using the hydropower potential of Ukrainian rivers and a proposed new technological paradigm for the development of small hydropower in Ukraine was assessed.
Design and Analysis of Mechatronic Systems for Autonomous Underwater Exploration
Authors: Pandey Rohit
Published: June 2023

The design and analysis of mechatronic systems for autonomous underwater exploration play a crucial role in advancing the capabilities of underwater robotic platforms. This abstract presents a comprehensive overview of the research conducted on the design and analysis of mechatronic systems for autonomous underwater exploration. The objective of this research is to enhance the performance, efficiency, and reliability of underwater robotic systems in order to enable effective and efficient exploration of the underwater environment.Mechatronic systems for autonomous underwater exploration require a multidisciplinary approach that integrates mechanical, electrical, and software engineering principles. This research focuses on the design and analysis of these integrated systems, addressing challenges such as robustness, adaptability, power management, and control mechanisms. The design and analysis of mechatronic systems for autonomous underwater exploration present a multidisciplinary research area that combines mechanical, electrical, and software engineering principles. This research aims to enhance the performance, efficiency, and reliability of underwater robotic platforms by addressing challenges related to design, analysis, control, power management, and sensor integration. The findings from this research will contribute to the advancement of autonomous underwater exploration, enabling better understanding and utilization of the underwater environment for various applications, including scientific research, environmental monitoring, and underwater infrastructure inspection.
Advancements in Sensor Technologies for Perception and Feedback in Mechatronic Systems
Authors: Srivastava Neeraj
Published: June 2023

Mechatronic systems play a pivotal role in various industries, ranging from manufacturing and robotics to automotive and healthcare. The effectiveness of these systems heavily relies on accurate perception and timely feedback, which are enabled by advancements in sensor technologies. This abstract provides a comprehensive overview of recent developments in sensor technologies for perception and feedback in mechatronic systems. The advancements in sensor technologies have revolutionized the field of mechatronic systems by enabling enhanced perception and feedback capabilities. Vision sensors, tactile sensors, proximity sensors, force and torque sensors, motion sensors, and biosensors have all contributed to improved situational awareness, control precision, and human-machine interaction. The integration of sensor fusion techniques further enhances the robustness and adaptability of mechatronic systems. However, ongoing research and development efforts are needed to address the challenges and leverage emerging technologies for future advancements in sensor technologies for perception and feedback in mechatronic systems.
Analysis of Information Geometry for Optimization and Inference Applications
Authors: Tayal Shilpy
Published: June 2023

A mathematical framework called "information geometry" investigates the geometrical attributes and features of probability distributions and statistical models. In a variety of domains, including as machine learning, optimisation, and inference, it offers a potent toolkit for analysing and optimising complicated systems. Information geometry and its uses in optimisation and inference are examined in this work.First, we give a general overview of information geometry's foundational ideas and principles, including topics like the Fisher information metre, divergence measures, and exponential families. We go over how to quantify the geometric links between probability distributions and derive practical geometric structures using these ideas.The use of information geometry in optimisation issues is what we investigate next. We show how the Fisher information metric can direct effective search strategies and convergence analysis in optimisation algorithms by utilising its geometric characteristics. We go over the benefits of applying information geometry to a variety of optimisation tasks, including parameter estimation, model choice, and neural network training. We also look into how information geometry affects statistical inference. We emphasise how the development of effective and reliable inference algorithms is made possible by the geometric structures of exponential families. We go over the use of divergence measures to quantify the differences between distributions, making tasks like model comparison and hypothesis testing easier.We also review current developments in information geometry, especially its application to probabilistic programming and deep learning. We go over how information geometry can improve deep neural networks' capacity for generalisation, interpretation, and uncertainty estimation.In this study, information geometry and its uses in optimisation and inference are thoroughly studied. Information geometry provides useful insights and methods for resolving challenging issues in a variety of fields by taking advantage of the geometric aspects of probability distributions.
Design and Analysis of Efficient Reinforced Concrete Structures
Authors: Shah Mahesh Chandra
Published: June 2023

Designing and analysing efficient reinforced concrete structures is crucial in the field of civil engineering to ensure the safety, durability, and cost-effectiveness of construction projects. This abstract presents an overview of the key aspects involved in the design and analysis of such structures, focusing on optimizing their performance.The process of designing reinforced concrete structures begins with understanding the project requirements, including the intended use, load conditions, and environmental factors. These requirements guide the selection of appropriate design codes, which provide guidelines for determining the required strength and dimensions of the structural elements. The design process involves an iterative approach, considering factors such as structural stability, serviceability, and constructability.One of the fundamental aspects of designing efficient reinforced concrete structures is the proper utilization of reinforcement. Reinforcing steel bars are strategically placed within the concrete elements to enhance their strength and ductility. Optimal reinforcement detailing minimizes material usage while ensuring the structural integrity. This abstract explores various reinforcement strategies, including the use of different bar sizes, shapes, and spacing, as well as the incorporation of additional reinforcement, such as stirrups and ties, to improve the overall performance.
Evolutionary approach in Assembler by Implementation of Neural Networks
Authors: Verma Aditya
Published: June 2023

A neural network is represented using the Assembler Encoding approach as a straightforward computer programme called the Assembler Encoding Programme. The goal of this programme is to create a Network Definition Matrix, which has all the data required to build a neural network. In order to create the programmes and subsequently the neural networks, evolutionary techniques are used.Finding the ideal number of neurons for a neural network is one of the difficulties in Assembler Encoding. The current implementation of Assembler Encoding relies on an inefficient and time-consuming way to deal with this issue. The report offers four other approaches to address this problem, though. Experiments were performed utilising a predator-prey problem to assess various solutions. The network's design, including the number of layers, the number of neurons in each layer, and the connections between neurons, is specified by the Assembler Encoding Programme. These rules are expressed in a low-level language that resembles machine code very closely.The Network Definition Matrix is produced by running the Assembler Encoding Programme, and it acts as a design for the neural network. Typically, the matrix contains data on the biases and weights of the connections between neurons.Thepaper track the Assembler Encoding Programmes are frequently improved and evolved using evolutionary techniques like genetic algorithms. The programmes are iteratively enhanced through evolutionary processes to create neural networks that display desirable behaviour for certain tasks or issues.
A Review on Different Techniques for Mining Frequent Patterns in Unordered Trees
Authors: Gour Aastha
Published: June 2023

Numerous fields, such as bioinformatics, web mining, and social network analysis, now require frequent pattern mining in unordered trees. Finding repeating patterns and substructures inside a collection of unordered trees is the key to unlocking this technique's potential to provide important information about the underlying data. This paper gives a thorough overview of various methods for mining frequent patterns in unordered trees, highlighting their advantages, disadvantages, and practical uses.The review starts out by defining the basic terms and concepts related to frequent pattern mining in unordered trees. The discussion then moves on to a number of widely used algorithms in this setting, such as graph-based strategies, bottom-up tree traversal techniques, and depth-first search-based techniques. Each approach is thoroughly explained, including its underlying concepts, computational complexity, and applicability to different kinds of tree datasets.The paper also examines recent developments in the subject, including distributed frameworks and scalable parallel algorithms for mining common patterns in big unordered tree collections. In order to improve the mining process and the calibre of patterns found, it also looks at the incorporation of extra constraints and measurements like weighted support and tree edit distance.The paper also talks about recent developments in the subject, namely scalable parallel algorithms and distributed frameworks for finding common patterns in enormous unordered tree collections. In order to strengthen the mining process and raise the calibre of patterns found, it also looks at the incorporation of extra restrictions and metrics like tree edit distance and weighted support.
Mining User Behavior Patterns in Online Social Networks: A Review of Recent Advances
Authors: Verma Poonam
Published: June 2023

This paper reviews the recent advances in mining user behavior patterns in online social networks, focusing on the integration of machine learning, deep learning, Natural Language Processing (NLP), and sentiment analysis. The proliferation of social media platforms has led to an explosion in the amount of user-generated content, creating both opportunities and challenges for understanding and predicting user behaviors. Recent advancements in machine learning and deep learning have paved the way for sophisticated techniques to extract and analyze this information, revealing valuable insights into user behavior. A major part of this review discusses how NLP techniques, combined with machine learning algorithms, have been effectively used for sentiment analysis to interpret and gauge user sentiments, fostering an understanding of trends, attitudes, and opinions in social networks. Moreover, we examine how these advanced methods have improved the accuracy of user behavior prediction, enabling more personalized and engaging experiences on these platforms. This comprehensive review not only provides a synthesized understanding of the current state-of-the-art methodologies but also identifies promising directions for future research in the mining of user behavior patterns in online social networks.
EVALUATION OF THE EFFECTS OF HERBICIDES ON THE WEEDS AND THE PRODUCTIVITY OF HYBRIDS MAIZE
Authors: Poiša Liena , Antypova Lidiia
Published: June 2023

In the early stages of maize (Zea mays L.) development, it is important to limit weeds that compete with maize for nutrients, moisture, light. Weed control has various methods, for example, agrotechnical, chemical. The aim of the study is to evaluate of the Effects of Weeds and Hybrids on the Productivity of Maize grain in Ukraine. The research was conducted in field conditions in 2019-2021 at the Mykolayiv National Agrarian University, which is located in the southern steppe of Ukraine. The results of the study show that weeds significantly (P0.05) reduced the maize grain yield. During the grain harvesting period, the number of weeds in GS 89 decreased to 137 and 121 weeds m-2. In the experiment, the predominance of early summer weeds (more than 66%) over late summer weeds (about 49%) was found. Effective weed reduction requires the use of several agrotechnical elements. Grain yield of maize hybrids increased significantly in areas where herbicides were applied. The corn hybrid 'Gran 6' was more productive. Maize hybrid Gran 6 is 1.3 times more productive than maize hybrid Odesskii 385 МВ in all test variants, which was also influenced by the hybrids' biological differences: maize hybrid Gran 6 has a shorter vegetation period and is taller (on average 209.1 cm) than maize hybrid Odesskii 385 МВ, which is 198.0 cm tall on average. Moisture consumption differed in vegetation years (2019-2021), the highest was in 2021 (70.6%), when a higher corn grain yield was also established.
PLACE MARKETING IN PLANNING SUSTAINABLE DEVELOPMENT
Authors: Linina Iveta , Jansevica Gita
Published: June 2023

Research background:  Municipalities, as part of the public sector, have to use various methods to achieve their goals, including the ones that are indispensable for successful entrepreneurship. Local authorities plan, manage and control events of public importance. These activities must be in line with national policies and accepted in their development documents. It is logical for municipalities to formulate and communicate their strategies and spatial development perspectives to the public. The improvement of a sustainable development strategy is especially important because the administrative-territorial reform was completed in 2021. After this latest reform, the boundaries of districts, management and distribution of funding were changed significantly. Today several towns and communities have developed their marketing strategies, and each municipality has public relations or development departments that take care of the image of the area.Purpose of the article: The aim of this study is to analyse the importance of local marketing in the current sustainable development strategies of individual districts. Tasks of the research are to describe the essence of local marketing, to study the peculiarities of strategic planning in local governments, to analyse the current sustainable development strategies of Cesis, Valmiera and Smiltene counties in connection with local marketing and to draw conclusions on the research results.Methods: The work uses a monographic research method, analysis of scientific literature, analysis of regulatory enactments, a logically constructive method - for the formation of judgments and analysis of results, a method of synthesis - to combine elements into a single system.Findings Value added: As a result of the study, the importance and impact of place marketing on the regional planning process was identified.
IMPROVEMENT OF CONSTRUCTIVE-TECHNOLOGICAL APPROACHES REDUCING INNOVATIVE OBSOLESCENCE OF INDUSTRIAL TECHNOLOGIES IN THE CONTEXT OF INDUSTRY 4.0
Authors: Petrova Desislava , Vlahova Beata , Lengerov Angel , Zlateva-Petkova Tsanka
Published: June 2023

The article is dedicated to the improvement of constructive-technological approaches in the design and manufacture of engineering products, innovations, their management and implementation in enterprises, innovation strategy and policies for its achievement, as well as methods for alternative solutions against the rapid obsolescence of innovations in the field of technology in the conditions of the Fourth Industrial Revolution (FIR) and globalization. Emphasis is on the stages in the design of the technological process for mechanical processing of engineering products, as well as the optimization of dimensional-accuracy connections. Schemes describing the optimization have been developed, and the approach will be programmatically implemented in subsequent development.
FROM INDUSTRY 4.0 PARADIGM TOWARDS INDUSTRY 5.0
Authors: Gródek-Szostak Zofia , Ochoa Siguencia Luis , Niemczyk Agata , Szeląg-Sikora Anna
Published: June 2023

In 2021. European Commission formally called for a fifth industrial revolution (Industry 5.0). Discussions by participants from all over Europe in two virtual workshops organised by Directorate "Prosperity" of Directorate-General for Research and Innovation on 2 and 9 July 2020 resulted in the document "Industry 5.0: Towards a Sustainable, Human-centric, and Resilient European Industry" issued on 4 January 2021.Industry 5.0 recognises the power of industry to achieve societal goals beyond job creation and growth to become a resilient provider of well-being, making production respect the limits of the planet and placing the well-being of industrial workers at the centre of the production process. Industry 5.0 complements the existing Industry 4.0 paradigm as research and innovation drives the transition to a sustainable, human-centred and resilient European industry.Given that technological advances are changing the way value is created, exchanged and distributed, there is an urgent need to design these technologies to support future societal values. The emergence of these changes and the questions closely linked to technological innovation require industry to rethink its position and role in society.The purpose of this article is to analyse the assumptions of Industry 5.0 and compare them with the Industry 4.0 paradigm.
ARCHITECTURE AND CONSTRUCTION STUDENTS' PERCEPTION OF “TECHNICAL DRAWING” AND “DESCRIPTIVE GEOMETRY" DISCIPLINE CONTENT
Authors: Yermakov Serhii , Tkach Liliia , Potapskyi Pavlo , Oleksiyko Serhiy , Olenyuk Alexander
Published: June 2023

The present paper highlights the results of pedagogical research conducted at the Architectural Department in the Kamianets-Podilskyi Professional College of Construction, Architecture and Design. The study considers the vocational pre-higher education students’ perceptions of various graphic works in drawing and descriptive geometry in the context of graphic work features, and understanding the significance of drawing works for the formation of a future specialist in the construction industry. Students were suggested to fill in the forms with a list of the curriculum topics and give grades according to three criteria: usefulness for the future profession, the complexity of the graphic work and the engagement in performing the task.Research results provide problem-solving solutions related to teaching methodology of such disciplines as "Technical Drawings", "Drawings and Basics of Descriptive Geometry" and "Descriptive geometry".Based on research findings, the recommendations concerning teaching and increasing interest in educational material can be made. It has been found that certain topics do not arouse much interest in students, so we recommend improving students' motivation in the classroom by employing engaging tasks, taking into account the peculiarities of perception and attention when studying these topics. The topics that are difficult to master according to students' responses require more hours for studying, and the topics that students consider least useful should be reviewed, reformatted, or even excluded from the program.
SUBJECTIVE PROBABILITIES ELICITATION AND COMBINATION IN RISK ASSESSMENTS PROBLEMS
Authors: Uzhga-Rebrov Oleg , Grabusts Peter
Published: June 2023

Very many areas of human activity are associated with greater or lesser risks. In order to make reasonable decisions, these risks must be properly assessed. The consequences of any risk can be characterized on the basis of two fundamental dimensions (metrics): (1) losses associated with the outcomes of implementation an unfavourable event; (2) probabilities that quantify the uncertainties in the occurrence of these outcomes. This article in a concise form presents and analyses approaches to subjective probabilities elicitation and combining the obtained individual estimates in group subjective probabilities estimation.
READINESS OF LATVIA’S ORGANIZATIONS FOR ADVANCED ANALYTICS
Authors: Lemsa Santa
Published: June 2023

The advanced analytics is one of the core tools to provide competitive advantage, sustainable development and foster productivity of the organization. Digital transformation and advanced analytics are two key trends in the emerging age of data, analytics, and automation. Digital transformation is the process of transforming how businesses operate when faced with digital disruption. Advanced analytics is the application of predictive and prescriptive models to analyse large, complex datasets in order to make critical business decisions. The focus of the paper is to assess the maturity level of advanced analytics in the organizations of Latvia by region, size and industry. Assessment was done by several domains like Organization, People, Data, Analytics, Technologies. The quantitative online survey was performed to assess the readiness of Latvia’s organizations for advanced analytics. The questionnaire was developed based on an academic literature review, reports and publications by researchers, analytical sector, industry experts and Author’s professionals experience in advanced analytics industry. The overall readiness level of Latvia’s organizations is 2.4 in 5 points scale. It differs by region, size of the organization and industry. Most of organizations do not have Analytics strategy, majority use spreadsheets based analytical tools, half of organizations use mostly only internal data, more than third part of organizations do not have any analytical resources. It leads to conclusion that majority of Latvia’s organizations are far from ability to improve productivity, be able to maximize the potential of the digital environment, to exploit data to make data-driven and automated decisions and are far from 21st century digital opportunities. Thus, puts under danger the sustainability of the organizations itself.
STUDENTS’ FINANCIAL LITERACY KNOWLEDGE RESEARCH: THE CASE OF KAUNO KOLEGIJA HIGHER EDUCATION INSTITUTION
Authors: Jurkševičiūtė Gintarė , Morkūnienė Vilma , Žvironienė Aušra , Danielytė Jovita
Published: June 2023

A person feels more confident and secure with good financial skills and knowledge in the face of increased inflation, energy crisis and geopolitical uncertainty. Therefore, financial literacy is one of the most important skills necessary for a modern person. The basics of financial literacy are included in the programs of primary and secondary schools in Lithuania. So, students of Higher Education Institutions should have basic financial literacy knowledge and skills. The purpose of this study is to assess student’s level of financial literacy. For this reason, a survey of 1st year students of Kauno kolegija Higher Education Institution Technologies and Business Faculties was carried out in May – June of 2022. The survey consisted of questions and knowledge test tasks which were divided into four groups: budget, credits and debts, savings and investments, financial responsibility. The collected data were processed using the SPSS 29 software. It was assessed that the level of financial literacy of Kauno kolegija Higher Education Institution students is adequate. The quartile width of the financial literacy index of all respondents was about half of the total spread. That means that the spread of values between the quartiles is similar. It was observed that earning respondents are more tend to save than non-earning respondents when evaluating the differences in the context of saving habits. In addition, two-thirds of working students cut back on spending when money is tight. It was observed that the vast majority of working students do not tend to borrow from family or friends. A statistically reliable difference was obtained between the groups of working and non-working respondents when evaluating an investment, i.e. one third of working people tend to invest. Respondents named the main reasons for not investing: lack of knowledge and insufficient amount of money. Respondents who invest their savings usually choose to invest in cryptocurrencies, real estate, investment funds or their own business. Even four-fifths of unemployed students said that they wanted to learn more about money management when assessing their financial skills. The study found out that goal setting has a direct impact on reducing their expenses. In addition, a better financial situation makes it possible to regularly save and evaluate the financial situation before buying an expensive item. What is more, the ability to manage your finances directly depends on deepening your financial knowledge, encouraging you to compare prices when buying something, compare the conditions of different credit institutions. The received results show that the majority of Kauno kolegija Higher Education Institution students have a sufficient amount of general financial literacy knowledge, for example, they tend to plan their personal budget, borrow efficiently, correctly assess investment risks, inflation and interest rates, and have long-term financial goals.
BASIC PRINCIPLES OF USING VIRTUAL AND AUGMENTED REALITY TECHNOLOGIES IN THE PROCESS OF TEACHER TRAINING IN UKRAINE
Authors: Khilya Anna
Published: June 2023

In our opinion, in all aspects, education should correspond to the modern realities of the world, for life and communication with which we prepare a person. We propose to pay attention to the preparation of the individual, because without the readiness of the teacher to fulfil his or her responsibilities for socialization and development of skills necessary for self-realization, we lose not only a favourable period. We lose time and opportunities for a person's success in life.For example, teachers' lack of skills or knowledge of currently popular audio-visual content programs, building effective communication in social networks, and their quality use in the educational process create a  «generation gap». After all, «gaps» in the knowledge, skills, and capabilities of a teacher or professor are immediately «striking» to children and young people, causing them to reject the teacher's personality and, as a result, the information they broadcast.In addition, a modern young person, fascinated by the possibilities of gadgets and gamification in education, constantly needs new impressions, sensations that will allow them to engage in the educational process, and will interest young people who are oversaturated with various types of information. That is why, in this review, we outlined the main points of our use of currently available virtual and augmented reality technologies, in particular the AltspaceVR program, in the practice of training primary school teachers. We also presented our experience and various aspects of using these technologies in the Ukrainian educational space.
AUTOMATION OF FEEDBACK ANALYSIS IN ASYNCHRONOUS E-LEARNING
Authors: Rohit - , Grabusts Peter , Teilans Artis , Kapenieks Atis
Published: June 2023

With the recent hit of the Pandemic study process is shifted to E-learning. Measuring the actual progress of a student in Asynchronous e-learning because of machine-human interaction and feedback is also considered a primary issue in this area. With the rapid development of artificial intelligence, computers can capture surroundings. Image processing is a rising technique in Artificial Intelligence (AI).  Recognition of an individual's emotion helps identify the person's inner state. It is easy to measure a student's feedback about the session by doing it. The main functionality of this project is to capture the student's enough frames during the study session and provide the analysis of the average emotions to the administration panel. This prototype was used on 10 minutes of lecture to capture the emotion. The primary goal of this proposed system is to capture the learner's emotion at a specific interval during the e-learning session and provide the feedback of it to the instructor.
TEACHERS' DATA LITERACY SKILLS FOR PEDAGOGICAL DECISION MAKING: NEEDS ANALYSIS IN LITHUANIA AND GERMANY
Authors: Melnikova Julija , Batuchina Aleksandra , Ahrens Andreas , Zascerinska Jelena
Published: June 2023

The purpose of the article is to analyse the needs of general education schoolteachers’ data literacy skills that are important for the effective use of learning analytics in the teaching-learning process. The theoretical part of the article presents the idea of big data in education, highlights the aspects of pedagogical value of learning analytics technologies, provides the overview of learning analytic tools. Some overview and comparison of spread of learning analytics tools in general education schools in Lithuania and Germany is presented in the context of data-driven education. The empirical part of the article presents some results from a big qualitative study of teachers’ experiences applying learning analytics tools in teaching - learning process. The main question of the current research is what data literacy skills teachers need in order to use learning analytics tools and make data based pedagogical decisions. Semi-structured interviews were conducted with 10 Lithuanian and 9 German teachers from general education schools, who already have had experience in working with learning experience platforms (digital learning platforms that integrate learning analytics tools). Interview data were analysed by means of content analysis. The results of the qualitative study showed that in order to use learning analytics tools it is important for teachers to have such skills as: digital literacy, data collection, data analysis and interpretation, etc. Comparative analysis of informants’ answers showed that teachers in Lithuania and Germany expressed similar needs for data literacy skills.