bluuebunny/crossref_metadata_2025 huggingface dataset:
Determining the impact of plastering materials on temperature distribution in lightweight concrete enclosure structures exposed to fire
Authors: Bula Serhiy
Published: December 2024

The object of this study is lightweight concrete wall structures treated with various types of conventional plasters. The problem addressed in the paper is to determine the effectiveness of different types of plastering to protect walls from the effects of high temperatures and improve the fire resistance of structures.
The samples of one series were fabricated by plastering the aerated concrete wall with a cement-lime plaster while the samples of the other series were plastered with vermiculite-perlite plaster. Samples of the third series were made without plastering (control series). In accordance with the research program, the distribution of temperatures under fire load was determined for all series.
Studies have shown that wall structures plastered with verliculite-perlite mortar demonstrated 3.8 times better thermal insulation characteristics compared to plastering with cement-lime mortar. The fire protection effect of plastering (compared to non-plastered samples) for vermiculite-perlite solution was 6.3 times, and for cement-lime – 1.6. Adhesion failure was observed in cement-lime plaster under high temperatures, highlighting the need for additional fixing when applied to lightweight concrete walls. Theoretical analysis of the results revealed a discrepancy of up to 19 % with the experimental findings.
The high thermal insulation properties of vermiculite-perlite plasters in comparison with cement-lime plasters are well known. A distinctive feature of this study is the quantitative determination of temperature distribution for the investigated plasters under conditions approximating real fire exposure.
The findings of this research can be applied to the design of buildings and structures requiring enhanced fire resistance for wall systems
Evaluation and optimization of the naive bayes algorithm for intrusion detection systems using the USB-IDS-1 dataset
Authors: Konyrbaev Nurbek , Nikitenko Yevheniy , Shtanko Vadym , Lakhno Valerii , Baishemirov Zharasbek , Ibadulla Sabit , Galymzhankyzy Asem , Myrzabek Erkebula
Published: December 2024

This study takes a look into the application of the Naive Bayes machine learning algorithm to enhance the accuracy of Intrusion Detection Systems (IDS). The primary focus is to assess the algorithm's performance in detecting various types of network attacks, particularly Denial of Service (DoS) attacks. This research proposes using Naive Bayes to improve intrusion detection systems that struggle to keep pace with evolving cyber threats. This study evaluated the efficiency scores of the Naive Bayes classifying model for two different dependency scenarios and identified strong and weak properties of this model. The Naive Bayes classifier demonstrated satisfactory results in detecting network intrusions, especially in binary classification scenarios where the goal is to distinguish normative and malicious traffic due to its simplicity and efficiency. However, its performance declined in multi-class classification tasks, where multiple types of attacks need to be differentiated. The study also highlighted the importance of data quality and quantity in training machine learning models because of the impact of those parameters on the model efficiency. The USB-IDS-1 dataset, while useful, has limitations in terms of the variety of attacks. Using datasets with a wider range of attack types could significantly improve the accuracy of IDS. The findings of this research can be applied to such domains as network security, cybersecurity, and data science. The Naive Bayes classifier can be integrated into IDS systems to enhance their ability to detect and respond to cyber threats. However, it is essential to consider the limitations of the algorithm and the specific conditions of its environment. To maximize the effectiveness of the Naive Bayes classifier, it could be promising to optimize and normalize the data to improve the accuracy of the model and combine Naive Bayes with the other machine learning algorithms to address its limitations
Justification of directions for improving the means of regulating innovative relations within the limits of the sustainable development policy in the European Union
Authors: Davydiuk Oleksandr , Shovkoplias Hanna , Holina Olena , Sukhodubova Iryna , Khaletska Kateryna
Published: December 2024

The object of this study is existing regulatory approaches to determining the place and purpose of innovations within the economic system of the European Union (EU), in the context of the implemented policy of sustainable development.
In the course of research and generalization of the sustainable development policy of the European Union, it was established that the purpose and role of innovations have not been properly identified. Only the absolute nature of innovation rights is registered while no restrictions in favor of meeting public interests are recorded. It has been proven that this does not meet the needs of the participants of innovative relations and negatively affects the scaling and implementation of innovations. The expediency of improving the existing normative concept of determining the place and role of innovations within the framework of the sustainable development policy of the European Union has been substantiated. Recommendations regarding areas of such improvement have been formed. As such recommendations, the need to formalize the definition of the normative construction of innovations on the basis of international recommendations "Oslo" is highlighted. The need to spread regulatory restrictions on the impact of innovations based on such criteria as industrial and man-made safety has been proven. The expediency of introducing additional guarantees for developers of innovations is also substantiated. The need to make changes to the provisions of such international treaties and agreements as the Horizon Europe Framework Program has been proven.
The study is aimed at forming general theoretical foundations for improving the essence of regulatory techniques for identifying forms of technology transfer. The practical significance of the research results is that the generated results could be used in the formation of international normative acts, recommendations of international institutions, acts of national legislation, and serve as a basis for further scientific research on these issues
Design of an integrated defense-in-depth system with an artificial intelligence assistant to counter malware
Authors: Zhuravchak Danyil , Opanovych Maksym , Tolkachova Anastasiia , Dudykevych Valerii , Piskozub Andrian
Published: December 2024

The object of this study is multi-layered cybersecurity systems for detecting and countering advanced persistent threats through the integration of machine learning technologies, artificial intelligence, and multi-layered security systems. The task relates to the need to design adaptive detection systems capable of effectively responding to new and modified threats while improving accuracy and minimizing delays. An integrated approach was devised in the study, which combines conventional detection methods (signature analysis, correlation rules) with modern technologies such as machine learning and Artificial Intelligence assistants. Each layer of the system showed varying levels of effectiveness: for example, antivirus solutions were most effective at detecting known threats but failed to cope with modified threats, which were detected by correlation rules. Machine learning proved most effective at detecting fileless attacks and anomalous activity that other tools could not detect. It is through the combination of these methods that the detection system proved to be effective, providing a high level of protection. The results are due to the efficiency of combining several layers of defense, in which each subsequent layer compensates for the shortcomings of the previous one. Antivirus solutions detected 100 % of known threats, while correlation rules identified all modified malicious files. Overall, the system was able to detect 98 % of malicious files and 99 % of tactics, techniques, and procedures used in advanced persistent threats attacks. A unique feature of the research is the integration of the Artificial Intelligence assistant, which automates threat analysis processes and speeds up response times by leveraging historical data and the context of past incidents. This reduces the workload on cybersecurity specialists and improves the overall effectiveness of the detection system, allowing for the quick identification of new threats and a reduction in false positives. Practical application of the results is possible in various critical sectors, including financial institutions, government organizations, and energy companies. The system demonstrates high flexibility and scalability, making it possible to easily adapt to different infrastructures and types of threats
Applying chia seeds to improve the structural characteristics and nutrient composition of whipped candies
Authors: Shydakova-Kameniuka Olena , Zagorulko Aleksey , Kasabova Kateryna , Mikhaylov Valeriy , Shkliaiev Oleksii , Rohova Alla , Novik Аnna , Lapytska Nadiia
Published: December 2024

The object of this study is the technology of whipped candies with the introduction of whole and crushed chia seeds. Whole seeds were added at the stage of whipping the protein (% of the mass of dry egg albumin), and crushed seeds were added during the preparation of the milk-fat mixture (% of the mass of fat). The introduction of the additive solves the task of improving the structural characteristics of whipped candy masses and candies made on their basis. The issue of improving the nutritional composition of products has also been resolved.
It was established that the introduction of whole chia seeds (up to 50 % of the mass of dry egg albumin included) contributes to the improvement of the foaming of brewed protein masses during whipping and to the reduction of their density. Increasing the dosage of chia causes the deterioration of these indicators. In view of this, it is recommended to limit its dosage to 50 % of the weight of dry albumin when adding whole seeds to the brewed whipped protein mass.
It was noted that when adding whole/crushed chia seeds in the amount of (50/40) %, (50/50) %, and (50/60) % of the mass of dry albumin/fat, the viscosity of unstructured candy masses increases slightly. Due to this, the duration of their structure formation is reduced, and the rate of shrinkage decreases. Whipped candies from such masses, compared to the control ones, are characterized by higher values of adhesion, strength, and density indicators. However, the visual deterioration of the porosity and compaction of the structure is characteristic only of the samples with the content of whole/crushed seeds (50/60) %. That is, the rational dosage of whole/crushed chia seeds is (50/50) % of the weight of dry albumin/fat.
Such products are characterized by improved nutrient composition. In particular, the content of proteins and non-starch polysaccharides increases, the balance of fats improves, and the content of micronutrients such as polyphenols, minerals, and vitamins increases significantly
Optimization of data transmission in sensor networks for enhanced control of ozonator efficiency
Authors: Abdykadyrov Askar , Marxuly Sunggat , Tolen Gulzhaina , Kuttybayeva Ainur , Abdullayev Mukhit , Sharipova Gulnar
Published: December 2024

The main object of the research is the efficiency of real-time ozonator control based on sensor networks. The study addressed the issue of low efficiency in ozonator control systems and the lack of reliability and speed in real-time data transmission. The research revealed that changes in pressure and temperature have a direct impact on ozone concentration. This finding made it possible to increase the ozonator's productivity by 15 %, reduce energy consumption by 10 %, and improve system reliability by 20 %. The key features of the results include the ability to monitor ozone levels in real-time, maintaining the stability of the ozonator, and optimizing its performance. Additionally, sensor networks ensured fast and accurate data delivery, enhancing the energy efficiency and reliability of the system. These results were explained based on experimental data that demonstrated how changes in pressure and temperature affect ozone concentration. The use of sensor networks contributed to increased system stability, reduced energy consumption, and improved control accuracy. The obtained results can be applied to ozonator systems and other fields requiring real-time environmental monitoring and control. The methods proposed in the study provide opportunities for optimizing industrial processes, reducing costs, and achieving sustainable development goals
Development of superposition-based quantum key distribution protocol in decentralized full mesh networks
Authors: Begimbayeva Yenlik , Ussatova Olga , Zhaxalykov Temirlan , Akhtanov Amir , Pashkevich Ruslan , Arshidinova Mukaddas
Published: December 2024

The object of this research is the security of communication networks, particularly in decentralized, multi-user environments where robust data protection and integrity are critical. The issue under discussion is the rising vulnerability of conventional cryptography systems resulting from ever complex cyberattacks and the expected risks presented by quantum computing possibilities. The development of a QKD protocol employing quantum superposition to improve data security and resilience against both present and future quantum-based cyber-attacks is demonstrated by the achieved results of this work. Achieving scalability and autonomous eavesdropping detection, this protocol lets several communication nodes securely exchange randomly produced keys without centralized management. A quick analysis of the results reveals that main elements influencing the great durability, security, and adaptability of the protocol are quantum superposition and its distributed character. Without centralized authority, the characteristics of the obtained results – especially the use of optical components, detectors, and quantum sources in conjunction with classical communication channels – solve the problem of ensuring data confidentiality and integrity in a multi-user environment. This protocol's practical reach covers safe communication applications in both public and private sectors, therefore addressing situations calling for strong data protection against modern cyberattacks. Conditions for practical application include settings like government, financial, or health-related interactions when safe information flow is crucial. This QKD system offers a future-ready security solution for high-stakes environments and represents notable advancement toward protecting data from quantum and conventional attacks
Determining the characteristics of contact interaction between structural elements with varied properties of surface layers
Authors: Tkachuk Mykola M. , Domina Natalia , Tkachuk Ganna , Grabovskiy Andriy , Tkachuk Mykola A. , Shut Olexandr , Zavorotnii Anton , Lipeiko Andrii
Published: December 2024

The object of this study is the stressed-strained state of contacting elements of close-shaped machine-building structures. The presence and flexibility of surface layers and coatings are modeled. There are cases of the matching shape of the contacting surfaces of bodies, as well as the perturbation of the shape of these surfaces. The task being solved relates to the fact that the analysis methods of such bodies contact interaction are not yet sufficiently developed.
It was established that for the case of the matching shape of contacting surfaces, the contact area does not depend on the level of loads. In this case, the contact pressure distribution is proportional to the operating load. Such features of the solution do not depend on the properties of the materials of surface layers. A different case is when the shape of the contacting surfaces of bodies is disturbed. In particular, it was established that the properties of the materials of surface layers exert a strong influence on the shape and dimensions of bodies contact area, as well as on the distribution of contact pressure (the difference is 1.5–2.5 times or more).
The theory of variational inequalities is used to model the stressed-strained state of contacting bodies. As a result, the problem about contact interaction of bodies with surfaces of close shape is reduced to the problem of minimizing the modified energy functionality. The minimization is carried out on a set of distributions of displacements, which describes conditions of bodies not penetrating each other. The finite element method is used to discretize the problem of determining the stressed-strained state of contacting bodies. The parametric model built makes it possible to determine the stressed-strained state of contacting bodies when the disturbance of the nominal shape of the bodies and the properties of their surface layers is varied
Determining the impact of blockchain technologies on the grain supply chain tracking system in the EU
Authors: Kupalova Halyna , Didukh Nazar
Published: December 2024

The object of this paper is blockchain technology in the tracking system of grain supply chains.
The current study considers the task of determining the impact of blockchain technology introduction on the tracking system of grain supply chains.
The key problems in the system of grain supply chains have been identified and the tasks to solve them have been proposed. The characteristics of key technologies in the implementation of blockchain in the system of grain supply chains have been defined, such as smart contracts, the Internet of Things (IoT), interplanetary file system (IPFS), contactless tags (RFID), Ethereum platform (identified as the best for supply chain tracking). The influence of factors on the introduction of blockchain technologies into the grain supply chain tracking system was determined using a SWOT analysis. Strengths include transparency, increased trust, automation of processes and protection against falsification. Weaknesses include high implementation costs, difficulty scaling, and the need for staff training. Opportunities that open up through the use of blockchain include attracting new partners, increasing competitiveness, and developing new markets. Threats include legal difficulties, technical failures, high energy costs, and resistance from market participants. An assessment of the investment attractiveness of introducing blockchain technology into the grain supply chain tracking system was carried out by calculating such indicators as economic effect; net present value (NPV) of implementing blockchain technologies; payback period of investments. According to the results of analysis, the following data were obtained: NPV (150439 a.u.)>0, the payback period of investments is 2.8 years, which is acceptable for large agricultural holdings. Prospects for development have been determined, in particular, the unification of agricultural holdings for the joint implementation of blockchain technologies in the tracking system of grain supply chains, which would be a strategically beneficial solution for all participants in the supply chain
Development of an adaptive multi-channel correlation sidelobe canceller for active noise interference based on the Gram-Schmidt orthogonalization procedure
Authors: Zhuk Serhii , Chmelov Viacheslav , Tereshchenko Oleksandr
Published: December 2024

The object of the study is the process of adapting a multi-channel correlation sidelobe canceller to work in conditions of radio-electronic countermeasures based on the Gram-Schmidt orthogonalization procedure. The proposed approach allows developing a fast, recursive algorithm for searching for optimal values of weight coefficients. Such an algorithm will ensure fast adaptation of the sidelobe canceller to a complex interference-target situation, which can change rapidly. The obtained result of the coefficient of suppression of active noise interference in a constant value approaches the optimal value determined by the Wiener-Hopf equation, which indicates the effectiveness of the proposed approach.
By using the Gram-Schmidt orthogonalization procedure, it was possible to obtain high stability of the procedures for calculating the optimal values of weight coefficients, in contrast to other considered approaches. The proposed approach can be practically implemented in existing radar systems for suppressing active noise interference.
During the study, it was found that the adaptive multi-channel correlation sidelobe canceller in a steady-state mode works similarly to adaptive phased antenna arrays - it has the same efficiency in spatial signal selection and in compensation of active noise interference.
When suppressing four active noise interference, the suppression coefficient is –23.35 dB. With an increase in the number of interferences at the input of the four-channel sidelobe canceller, the suppression level deteriorates rapidly. With five, six, seven, eight interferences – –22.90 dB, –21.54 dB, –20 dB, –17.02 dB, respectively. Such changes are due to the number of active interferences, which is greater than the number of compensation channels
O FUTURO DAS UNIDADES DE CONSERVAÇÃO NO RIO GRANDE DO NORTE
Authors: Rodrigues de Sousa Júlio César , Lunardi Diana , Lunardi Vitor
Published: December 2024

As unidades de conservação da natureza (UC) existem há mais de 150 anos. Nas últimas décadas, aumentou o número de UC em todo o mundo, contudo o Rio Grande do Norte (RN) não acompanhou esta tendência. Este estudo teve como objetivo identificar os desafios para o alcance das metas globais de biodiversidade. A matriz teórica traz as razões para a ampliação das UC e para o emprego da gestão por objetivos. Foi realizada uma pesquisa documental sobre estas UC do RN, além de consultas ao Sistema de Análise e Monitoramento de Gestão (SAMGe) e ao índice de governança do Tribunal de Contas da União (TCU). Os resultados demonstram que apenas 2,45% do território do RN estão protegidos e apenas 1,28% do bioma Caatinga, apontando também a necessidade de regularizar a situação das UC que não estão descritas no Cadastro Nacional de Unidades de Conservação e concluir as pendências das UC em processo de criação. As UC potiguares possuem dificuldades em instituir seu Conselho Gestor e aprovar o plano de manejo, processo que levou décadas em alguns casos. No RN, foi priorizada a criação de categorias menos restritivas, com as Áreas de Proteção Ambiental, representando 3/4 da área protegida. Também foi constatado que os indicadores de efetividade de governança precisam avançar nas UC e nos órgãos ambientais. Este estudo apresenta uma proposta para a criação de um Pacto pela Proteção do Patrimônio Natural, com a definição de metas estaduais para a conservação da biodiversidade.
Investments in Regional Tourism Infrastructure in the Conditions of Digital Transformation of the Economy
Authors:   Russian Presidential Academy of National Economy and Public Administration, Pryamichkin Valentin , Zemlyanskaya Stella ,   Volgograd State University
Published: December 2024

The article examines the primary challenges of digital transformation encountered by the tourism ndustry and offers practical recommendations for boosting investment in the tourism infrastructure of various regions amidst the ongoing economic digital transformation. The purpose of the study is to identify the main problems of digital transformation affecting the tourism industry and to develop practical recommendations to address the identified problems. The data on the development of the tourism industry up to 2030 are presented. It is noted that the processes of digitalisation (digital technologies, big data) for the tourism industry provide hoteliers with a wide range of opportunities for the application and development of accommodation facilities. The latest digital technologies, which are the basis of the digitalisation process for tourism activities, are identified. A brief assessment of tourist portals in five regions is given. General scientific methods of synthesis, analysis, and systematisation are applied. It is evident that the tourism industry is facing significant challenges in the digital transformation process. These include the lack of regional tourist portals, a lack of data, the need for a hotel classification procedure, the complexity of permits, the challenge of collaboration with online booking sites, the cost of banking for hoteliers, and a lack of information on investment lots. The practical value of the study consists of the possibility of application of the developed recommendations by local and regional authorities at the stages of development and further implementation of strategies for the development of tourism in cities, municipal districts, and regional contexts. Additionally, the recommendations can inform the resolution of challenges faced by hoteliers, including for the purpose of additional investment attraction. The study separately notes the poor development of digital infrastructure in rural areas.
Classification of Factors of Socio-Economic Development of Region in Terms of Their Impact on Commercial Real Estate Market
Authors:   Volgograd State Technical University, Skiter Natalia , Markin Maksim ,   Volgograd State Technical University
Published: December 2024

The article provides a historical insight and an overview of a number of modern concepts on the issue of a variety of factors’ structuring and socio-economic development of the region, as well as applied approaches to analysis of the impact of certain parameters characterizing the regional economy on commercial real estate market and land within these regions. It is shown that when analyzing correlation problems between the parameters of socio-economic development of the region and the dynamics of commercial real estate market and land in this territory, the issue of systematization and classification of various indicators characterizing the state of the economic system of the region and its impact on pricing is of particular relevance due to the multifactorial development of the processes that are being explained. The issue of systematization and classification of various indicators characterizing the state of the economic system of the region and its impact on pricing is of particular relevance. When analyzing this circumstance as a factor of scientific novelty, the author’s methodology for classification and factors’ typology and indicators of the socio-economic situation of the region is suggested in the development of existing concepts. The conceptual methodology includes both generally accepted criteria and additionally introduces criteria determined by the prospects for further research and their application. From the point of view of interrelations of economic system state of the region and pricing processes under consideration, nature and degree of influence as the main subject of the study, as well as potential for controlled change, are presented as an important criterion. The latter seems to be a potential tool of executive authorities at various levels, providing the possibility of applying a targeted, narrowly focused impact of managerial efforts aimed at specific development vectors in order to achieve the targets of the overall development of the managed territory at a faster pace. In conclusion, the open nature of the suggested classification is noted with the possibility of expansion, addition, and modification in the process of further research within the framework of the issues mentioned above.
Perforation of a Meckel’s Diverticulum Following Ingestion of a Chicken Bone: A Case Report and Literature Review
Authors: Lee Hyun-Yong
Published: December 2024

Perforation of a Meckel’s diverticulum with a foreign body is a rare complication. Whether in children or adults, fish bones have been reported to cause perforation in a Meckel’s diverticulum, but few cases have been reported in which swallowing relatively large bones such as chicken bones results in perforation. We report a case of perforation of a Meckel’s diverticulum caused by swallowing a chicken bone.
METTL17-Mediated Inhibition of M1 Macrophage Polarization Alleviates the Progression of Ankylosing Spondylitis
Authors: Lv Jiang-Tao , Zhang Ying-Ying , Tian Shao-Qi , Liu Jiang-Jun
Published: December 2024

RNA methylation is involved in the pathogenesis of ankylosing spondylitis (AS). This study aimed to investigate the potentials of METTL17 in AS. mRNA expression was detected using RT-qPCR. RNA methylation was detected using MeRIP assay. Protein expression was detected using western blot. Cell proliferation was detected using EdU assay. Macrophage functions was detected using flow cytometry. METTL17 was upregulated after exposure to LPS. However, METTL17 knockdown promoted inflammatory response. Moreover, METTL17 knockdown promoted M1 macrophage polarization. Mechanically, METTL17 regulate RNA methylation. Mechanically, METTL17 promoted the RNA methylation of STAT1, inhibiting the mRNA and protein stability of STAT1. In summary, METTL17 inhibits inflammatory response and M1 macrophage polarization via mediating the RNA methylation of STAT1. Therefore, targeting METTL17/STAT1 may be a promising strategy for AS.
Türkçeyi Yabancı Dil Olarak Öğrenen Öğrencilerin Konuşma Becerilerinin Değerlendirilmesine Yönelik Bir Araştırma
Authors: Suroğlu Sofu Merve , Demirkol Rabia
Published: December 2024

Bu araştırmanın amacı, Türkçeyi yabancı dil olarak öğrenen B1 seviyesindeki öğrencilerin konuşma becerilerini değerlendirmektir. Araştırmanın problem cümlesi “Yabancı dil olarak Türkçe öğrenen B1 öğrencilerinin konuşma becerileri nasıldır?” olarak belirlenmiştir. Çalışma grubu 10 B1 dil düzeyindeki öğrenci olarak belirlenmiştir. Çalışma kapsamında ölçek kullanım izni, etik kurul izni ve onam formları alınmıştır. Araştırmanın yöntemi karma yöntemdir. Yöntemin nicel yönü ölçeklendirme ile sağlanırken nitel yönü odak görüşmeler ile sağlanmıştır. Çalışma kapsamında konuşma becerilerini değerlendirme için Yorgancı’nın (2021) “Yabancı Dil Olarak Türkçe Öğrenenler İçin B1 Düzeyi Bağımsız Konuşma Becerisi Dereceli Puanlama Anahtarı” isimli ölçeği kullanılmıştır. Öğrenciler selamlama ve hitap ifadeleri kullanma, konuşmaları özetleme, mantıklı bir şekilde düşüncelerini ifade etme, akıcı konuşma, doğru sesletim, konuşma hızını ayarlama, doğru tonlama, beden dili uyumu, parazit sesleri kullanmama, nezaket kurallarına uyma gibi alanlarda “çok iyi” veya “iyi” düzeydedirler.
Yabancı Dil Eğitiminde Moodle Öğrenme Yönetim Sistemi Tecrübesi: Bir Durum Çalışması
Authors: Bozdemir Yasemin , Sadık Olgun
Published: December 2024

Bu çalışmanın amacı Doğu Anadolu Bölgesi’nde bir üniversitede ilk defa uygulanan Moodle öğrenme yönetim sistemi kullanıcı (öğrenci ve öğretmen) tecrübelerini ve görüşlerini yabancı dil öğretimindeki bir ders kapsamında incelemektir. Moodle kullanılabilirlik, verimlilik, etkileşim ve ölçme değerlendirme bağlamında incelenmiştir. Çalışma nitel araştırma desenlerinden durum çalışması modeli olarak tasarlanmıştır. Ders tasarımı ve sistemin yanında öğrenci ve öğretmen görüşleri de incelenmiştir. Veri toplamak amacıyla dört bölümden oluşan iki ayrı yarı yapılandırılmış görüşme formu kullanılmıştır. Veriler içerik analizi yöntemiyle analiz edilmiştir. Çalışmanın bulgularına göre Moodle sistemsel olarak faydalı bulunmuştur. Yaşanan olumsuz durumların çoğunlukla bilgi eksikliği, insan kaynaklı problemler, internet ve bilgisayar erişim sorunları gibi sebeplerden kaynaklandığı görülmektedir. Ölçme değerlendirme sürecinde gerek öğrencilerden kaynaklı (kopya çekme, stres vb.) gerek öğretim elemanından kaynaklı (geribildirim eksikliği) sorunlar yaşanmıştır. Moodle’ın yabancı dil eğitiminin verimliliğini artırdığı, alıştırmaların daha hızlı ve kolay yapılmasını sağladığı, sınavlardaki akademik başarıyı ve derse yönelik ilgiyi artırdığı sonucuna ulaşılmıştır. Moodle kullanımıyla öğrencilerin yabancı dil eğitimindeki üretken becerileri geliştirmeye yöneldikleri, motivasyonlarının arttığı ve yabancı dile karşı olumlu bir yaklaşım sergiledikleri gözlemlendi. Yeterli akran etkileşimine sahip olunmaması sebebiyle İngilizce konuşma becerilerinin gelişiminin istenildiği düzeyde sağlanamadığı belirtilmektedir. Yüz yüze eğitim ile karşılaştırıldığında, öğrencilerin Moodle’daki dinleme etkinliklerine daha iyi odaklandığı ortaya çıkmıştır ancak okuma etkinliklerinin verimliliğinde önemli bir farklılık bulunmamaktadır.
Os equipamentos públicos no Residencial Cachoeirinha em Botucatu SP
Authors: Vieira Carlos Eduardo , Salcedo Rosio Fernandez Baca , Pasquotto Geise Brizotti
Published: December 2024

Regarding the existing housing deficit in Brazil, the public authorities have opted to build housing complexes on the outskirts of cities, where the supply of public equipment is already precarious for residents, to the detriment of installing housing in central areas with already consolidated infrastructure. This study will not seek to discover the cause or reasons for this choice, but rather, given this fact, how this situation could be better planned by the public authorities, causing less impact on the new inhabitants. Public facilities, such as schools, health centers, access to urban transport, are essential for improving the population's quality of life, regardless where they live. They guarantee a feeling of belonging to the city life, thus largely avoiding isolation from other residents. This study analyzes the construction of the Cachoeirinha Residential Complex in the Botucatu city in São Paulo State, relating it to the existing public equipment on site, before and after its installation, using, in addition to a bibliographical analysis on the subject, the coverage radius methodology of basic education, health and leisure services, seeking to identify whether or not they meet the criteria for locating these equipment. As a result, deficiencies were revealed in relation to some equipment, suggesting the need for more effective planning and a more appropriate resources allocation to remedy such weaknesses.
Micromobilidade em Núcleos Urbanos
Authors: Caciato Luciano Eduardo , Mendes Leonardo de Souza
Published: December 2024

The concept of smart cities has become increasingly relevant in the contemporary contexto. Smart Cities improve the quality of life for urban residents through the integration of technology, innovation, and sustainability in various aspects of urban life. In this regard, micromobility, with the adoption of small electric vehicles, emerges as a promising solution to address transportation challenges in densely populated urban areas. This paper will explore the role of micromobility in urban centers, particularly in the city of São Paulo, Brazil, discussing its potential contributions to the development of smart and sustainable cities.
Territorialização das políticas públicas em territórios vulneráveis de Londrina/Paraná/Brasil
Authors: Silva Izabelle Cristina Gusmão da , Mantovan Heloisa Maria , Veiga Léia Aparecida , Cunha Caio Cezar , Antonello Ideni Terezinha
Published: December 2024

This research aims to reflect on the scope of public health, epidemiology and social assistance policies in vulnerable territories in the North Zone of Londrina-PR, represented by the vulnerable territories (favelas) called Aparecidinha and Flores do Campo, in 2023, based on the work of CRAS Norte A and Norte B, the Department of Epidemiology and Health Information (DEPIS) and the municipal Health Department. This is a qualitative study, based on a survey of secondary information (scientific literature and official documents). It was found that health, epidemiology and care have faced challenges such as: guaranteeing the management of policies in accordance with the law, maintaining the efficiency of the services provided and tackling complex social problems in the face of the reality experienced by the population. The conclusion is that the social context in the areas of socio-economic vulnerability and lack of ownership of urban land in the North Zone of Londrina makes it very difficult to conduct and implement public policies that are essential for the quality of life of families, particularly those that fall under the Department of Epidemiology and Health Information (DEPIS).
ARCHAEOLOGICAL EVIDENCE FROM GUA LADORI, NORTH KONAWE, SOUTHEAST SULAWESI
Authors:   Faculty of Humanities,Universitas Indonesia, Sabri M , Permana R. Cecep Eka
Published: December 2024

The presence of archaeological sites, mostly caves, in North Konawe Regency provides evidence of human habitation dating back to prehistoric times. Despite the challenges posed by difficult terrain and limited access, which hinder archaeological research, the Gua Ladori site in Bendewuta Village, Oheo District, North Konawe, is notable for its rich assemblage of artifacts. This study aims to identify the archaeological remains at Gua Ladori and assess their significance within the prehistoric context of Sulawesi, with a particular focus on North Konawe. The research methodology involves three stages: data collection, data processing and analysis, and conclusion drawing. The findings reveal a diverse array of artifacts, including bone fragments, ceramics (earthenware, stoneware, and porcelain), stone tools, shell remains, and rock art. Analysis indicates that the earthenware and porcelain ceramics are likely from the 14th to 17th centuries AD.
A VYGOTSKIAN PERSPECTIVE ON MULTICULTURAL EDUCATION: A SOCIAL- BASED LEARNING PROCESS IN THE MINANGKABAU COMMUNITY, WEST SUMATRA, INDONESIA
Authors:   Universitas Negeri Padang and 3Institut Agama Islam Negeri Pontianak, Moeis Isnarmi , Indrawadi Junaidi , Prasojo Zaenuddin Hudi , Fatmariza Fatmariza , Febriani Rika
Published: December 2024

Multicultural education and local wisdom function as crucial social assets in promoting unity within diverse societies. Indonesia, a country rich in ethnic diversity, possesses abundant local wisdom, particularly within the Minangkabau community of West Sumatra. This study examines the integration of Minangkabau local wisdom into the core elements of multicultural education, focusing on areas such as cultural awareness, sensitivity, cross-cultural communication, critical thinking, reflection, and cultural competence. Grounded in Vygotsky’s theory of learning as a process of social and cultural adaptation, this research adopts the qualitative approach, utilizing in-depth interviews and focus group discussions for data collection. Carried out through coding, data reduction, and interpretation, the analysis focuses on the Minangkabau community in Sungai Sirah Village, Silaut District, a transmigration area in West Sumatra. Findings reveal that the Minangkabau community’s approach to multicultural education is deeply embedded in an awareness of the importance of active participation in multicultural settings. This process is reinforced by local leadership and enriched by the community’s historical, economic, and cultural heritage. The study offers valuable insights for developing a comprehensive model of multicultural education that can be applied in both formal and informal contexts, ultimately fostering social cohesion and inclusivity.
TRADITION IN TRANSITION: UNVEILING SOCIAL REALITIES AND LOWER-CLASS OPPRESSION IN THE FILM NYUMBANG
Authors:   Sebelas Maret University Surakarta, Ajie Purwoko , Habsari Sri Kusumo , Riyanti Raden Roro Ratnasari Dwi , Pramadhanti Dhelinta Fitri , Saputri Fadhilah Mahanani
Published: December 2024

The tradition of Nyumbang has long functioned as a social safety net within Javanese society. However, modernity has transformed the essence of Nyumbang, a shift clearly portrayed in the film Nyumbang. This study investigates how the film captures the evolving discourse of Nyumbang and its changing meaning over time. By employing Foucauldian Discourse Analysis (FDA), the research examines how the film utilises discourse as a tool for both knowledge and power, thereby revealing underlying shifts in societal dynamics. This approach uniquely uncovers the interplay between power structures and cultural practices, aspects that might be overlooked by other methodologies. The analysis identifies both dominant and counter-discourses, particularly through the narratives and dialogues of the characters. Notably, characters from lower social strata challenge traditional Nyumbang practice, signalling the emergence of counter-discourse. The dominant discourse portrays Nyumbang as a social obligation enforced by prevailing cultural norms, while the counter- discourse advocates for reevaluating this practice in light of modern societal values. The study concludes that the film Nyumbang effectively addresses the complexities of maintaining tradition amidst the significant societal changes brought on by modernity, including the tensions between traditional expectations and the reality of economic reciprocity.
BEAUTY STANDARDS AS SYMBOLIC VIOLENCE AGAINST WOMEN IN IMPERFECT: KARIER, CINTA, & TIMBANGAN (2019)
Authors:   Fakultas Humaniora dan Industri Kreatif, Universitas Kristen Maranatha, Muljadi Hianly , Angjaya Sonny
Published: December 2024

Beauty is often perceived as a neutral concept; however, perceptions of beauty vary across different societies. In Indonesia, for instance, beauty is frequently associated with having fair skin and a slim physique. Consequently, women who do not meet these criteria are often deemed unattractive. Furthermore, beauty is commonly linked to a woman’s success. This issue is critically examined in the Ernest Prakasa’s film Imperfect: Karier, Cinta, & Timbangan (2019), which centers on the life of a young woman named Rara, who is depicted as dark-skinned and slightly overweight. The societal pressures she faces to conform to prevailing beauty standards in pursuit of her dreams highlight the problematic nature of these standards. Additionally, the film portrays how even characters like Lulu and Debby, who fit the conventional beauty mold, are not immune to criticism. This study aims to explore the problematic nature of beauty standards and their impact on women, employing Pierre Bourdieu’s theory of capital and symbolic violence. The research concludes that beauty standards create unfair situations for women, perpetuating unattainable ideals that disproportionately affect them.
Social Representation Study on Disabled Persons: A Longitudinal Study of Mentally Ill Patients and Verification of Differences by Type
Authors: Hur Yeun-Joo , Han KyuMan , Rhee MinKyu
Published: December 2024

Background: This study aimed to examine changes in the social representation of mental illness over the past 50 years and to compare these changes with the social representation of physical disability.Methods: To measure the causes, symptoms, treatment, and attitudes toward patients and hospitals for the general public, opinion surveys on mental illness were based on questionnaires, and in the case of physically disabled people, the scale of mental illness was revised and supplemented.Results: As a result of this study, it was confirmed that the social representation of the general public about mental illness has changed significantly over the past 50 years, but certain parts have deteriorated in some negative directions. Furthermore, when comparing the physically disabled and the mentally ill, it was confirmed that the social representation of the mentally ill was more negatively formed than that of the physically disabled.Conclusions: Based on these research results, the implications and limitations of this study were discussed.
A REVIEW OF SADDLE-POINT APPROXIMATION: THEORY AND APPLICATIONS
Authors: Alhejaili Amal D. , AlGhamedi Ateq Ahmed
Published: December 2024

Saddle-point approximations are powerful tools for deriving accurate expressions for densities and distribution functions. This paper provides a foundational introduction to saddle-point approximation and elucidates the underlying principles. Additionally, it reviews the evolution of these techniques from Daniels’ seminal proposal in 1954 to the present day. Our research highlights the promising future of saddle-point approximations, driven by advancements in computational tools, big data, machine learning applications, extensions to more complex models, and increased accessibility through software development. These advancements will significantly broaden the method’s applicability and utility across various scientific and engineering disciplines, paving the way for innovations and breakthroughs in both theoretical and applied research.
On the Inverse Problems for Conformable Fractional Integro-Dirac Differential System with Parameter Dependent Boundary Conditions
Authors: Tel Hediye Dilara , Keskin Baki
Published: December 2024

This study considers a conformable fractional Dirac-type integral differential system, focusing on its mathematical properties and practical implications. Asymptotic formulas have been derived for the solutions, eigenvalues, and nodes of the problem, providing a deeper understanding of the behavior of the system under varying conditions. These asymptotic results form the basis for analyzing the spectral characteristics and node distribution of the system. In addition, an algorithm is developed that effectively solves the inverse nodal problem and reconstructs the system coefficients from the nodal data.
Classification of Grapevine Leaf Types with Vision Transformer Architecture
Authors: Kavalcı Yılmaz Esra , Aktaş Hatice , Adem Kemal
Published: December 2024

Viticulture plays an important role in agriculture. Farmers prefer grapevine cultivation because not only its fruit but also its leaves are used in various fields. Both the use and trade of grapevine leaves within the country is an important source of income. Grapevine leaves, which are grown in almost all countries and used as edible, vary in terms of species. Determining and cultivating the species according to their suitability in terms of productivity is important. In this study, artificial intelligence methods were used to classify grapevine leaf species. The dataset consisting of five different classes, including 100 grapevine leaf images for each class, totalling 500 images, was classified using ViT, VGG19 and MobileNet methods. When the methods used in this study to help increase productivity in production are evaluated, ViT method has the best accuracy rate with 94%.
An Investigation of the Fresh and Hardened Properties of Nano Zinc Oxide Reinforced 3D Printed Geopolymer Mortars
Authors: Seloğlu Maksut
Published: December 2024

It is well known that even small amounts of nanomaterials can improve the mortar structure and enhance its fresh state and hardened properties. This paper investigates the fresh state and hardened properties of nano zinc oxide-reinforced 3D-printed geopolymer mortars. The mechanical properties of 7, 28, 90, and 180 days of 3D-printed geopolymer mortars cured at ambient temperature were investigated. For this purpose, 3D-printed geopolymer mortar samples containing 0%, 0.25%, 0.50%, and 0.75% nano zinc oxide were produced. Flow table and buildability tests were applied to these samples to determine the fresh state properties. Ultrasonic pulse velocity, flexural strength, and compressive strength tests were applied to the hardened 3D-printed geopolymer mortar samples. The best mechanical test results were obtained from 3D-printed geopolymer mortar samples containing 0.5% nano zinc oxide at the end of all curing times. In the ZN 50 series cured for 28 days, approximately 29% higher strength was obtained in FS and 66% higher in compressive strength compared to the ZN 0 series without nanomaterials. It has been noted that incorporating a tiny quantity of nano zinc oxide into 3D-printed geopolymer mortars improves their mechanical performance.