bluuebunny/crossref_metadata_2025 huggingface dataset:
STEAM-Inquiry Learning Module Assisted by Liveworksheet for Multiplication Material in Elementary School
Authors: Ni'mah Lina Nihayatun , Rusnilawati Rusnilawati
Published: September 2024

Mathematics often poses a daunting challenge for elementary school students, affecting their academic performance. Addressing this issue requires creating more engaging and innovative learning approaches. This research and development endeavour aim to assess the validity and practicality of a STEAM-based inquiry learning module assisted by a liveworksheet for multiplication material in third-grade elementary school. The study employed the Research and Development (R&D) method using the ADDIE model. The research involved 11 third-grade students at Tulip Putih Elementary School, and both quantitative descriptive analysis and qualitative description techniques were applied for data analysis. The validation results affirmed the suitability of the developed module, categorizing it as excellent. Trial results further demonstrated the practicality of the developed tool. Based on data analysis, it can be concluded that the STEAM-Inquiry Learning module assisted by a liveworksheet, developed for third-grade elementary school students studying multiplication, is suitable for implementation. The incorporation of technology within teaching modules enables educators to create interactive learning experiences. This can enhance the understanding of the material and subsequently influence the improvement of learning outcomes. The deployment of this instructional module stimulates students to be more engaged and active in class, nurturing critical, creative, confident, and analytical thinking skills
Fingerprint Identification Method Based on Convulsional Neural Networks
Authors:   Lviv Polytechnic National University, Myshkovskyi Yurii , Nazarkevych Mariia ,   Lviv Polytechnic National University
Published: September 2024

The article presents an advanced method of fingerprint identification based on convolutional neural network (CNN) technology. This work elaborately describes the development and implementation process of a specialized CNN architecture for detecting and verifying the authenticity of fingerprints. Utilizing the comprehensive Socofing dataset allowed for an in -depth analysis of the model’s ability to distinguish between genuine and fabricated fingerprints, where the model demonstrated impressive accuracy – up to 98.964%. Special attention is given to error analysis, including the false discovery and omission rates, pointing towards potential directions for further improvement. Besides highlighting the technical aspects and high identification accuracy, the article also addresses potential challenges and limitations that the method might encounter. This includes issues related to the imbalance and diversity of data in the Socofing set, as well as limitations associated with computational resources when training deep neural networks. Potential pathways for model optimization are discussed, particularly focusing on reducing the false omission rate, which could improve user experience in authentication. The concluding section of the article emphasizes the importance of the presented work for the security sector, where precise authentication of fingerprint images is critically needed. The obtained results can be considered a solid foundation for future scientific developments in this direction. Additionally, the need for systematic updates and modifications of the model is highlighted to adapt it to continually improved imitation techniques, ensuring its long-term relevance and effectiveness.
Realization of Reliable and Effective Authentication in Intelligent Systems by Using Visual Biometrics Methods
Authors:   Lviv Polytechnic National University, Batiuk Taras , Dosyn Dmytro ,   Lviv Polytechnic National University
Published: September 2024

The main purpose of this article is to consider the aspects of ensuring security and increasing the efficiency of the authentication process in intelligent systems using visual biometrics. The work is aimed at the development and improvement of authentication systems using advanced biometric identification methods. An intelligent system has been created that ensures secure authentication of users of the current system, using a Siamese neural network. In addition to the implementation of basic security measures in the form of hashing and saving user logins and passwords, the implementation of two-factor authentication is important nowadays, which significantly strengthens the protection of user data and prevents most modern methods of hacking and stealing user data. Two-factor authentication is implemented as a technology for searching, recognizing and comparing the faces of system users, as visual biometrics is more secure than other types of two-factor authentication. Different variations of the possible implementation of Siamese neural network using Contrastive loss function and more modern Triplet loss function were reviewed and accordingly, a neural network using Triplet loss function was accomplished and trained. After training and verifying the correct operation of the neural network, it was integrated into the created intelligent system, thanks to which an effective way of recognizing the face of the system user was created, saving the received information in the database and further comparing the current user with the stored face during authentication. As a result, a secure and reliable intelligent system was created that cutting down the risk of unapproved access to the user account and uses an effective and modern method of user authentication.
Intelligent System of Constructing Vector Diagrams of Electrical Circuits
Authors:   Lviv Polytechnic National University, Onishchenko Yevhenii , Dosyn Dmytro ,   Lviv Polytechnic National University, Khudyi Andrii ,   Lviv Polytechnic National University
Published: September 2024

Phasor diagrams are a powerful tool for visualizing and understanding the distribution of current, voltage, and power in electrical systems. During Russia's war against Ukraine, our energy industry has become very vulnerable to enemy attacks, and therefore needs a quick and effective recovery. Energy specialists lack software tools for working with the power system, and in the period of development of artificial intelligence, creating such tools is not so difficult. For example, familiar specialists often have to build vector diagrams - tools for visualizing and understanding the distribution of current, voltage and power in electrical systems. Using a combination of frameworks for working with artificial intelligence and creating a graphic shell, you can achieve the desired result in a few months, and at the same time do a useful thing for our victory. The YOLO model (based on the PyTorch framework) and the QT framework are considered among the proposed tools for creating an intelligent vector diagram construction system. The role of artificial intelligence is to recognize electrical elements in circuits and their connections to each other. Creating a user interface is an equally important thing, which is already implemented in many places with the help of QT. As of today, there is no specialized software tool for solving the problems of manual construction of vector diagrams, but the proposed approaches are already used for its creation. The system uses the Yolov5 model to recognize electrical elements on the circuit. The model is trained on more than 150 images and is able to recognize hand-drawn diagrams. Recognition is run as a separate process from the main program written in C++. This part of the system processes the input data from Yolo, saves it in a convenient format, creates a user interface, and displays the result as a vector diagram.
Information System for Evaluation of Investments in the Field of Information Technologies
Authors:   Lviv Polytechnic National University, Vasyluk Andrii , Basyuk Taras ,   Lviv Polytechnic National University
Published: September 2024

Creating an information system for evaluating investments in the field of information technology is a relevant task as it influences the efficiency of resource utilization in this strategically important sector. Information technologies are rapidly evolving, and proper investment evaluation can contribute to maximizing profitability and reducing risks. The research highlights various approaches to addressing this issue, each defined by its own characteristics. The study analyzes the investment process, proposing a mathematical model for investment problems in the form of a multi-criteria optimization task with Boolean variables. A structural approach is used to depict the principles of the system’s operation and information flows. Development tools are selected, and a prototype of the software is implemented. Further research directions include system verification and the development of additional modules to enhance functionality.
Method of Identification of Combat Vehicles Based on Yolo
Authors:   Lviv Polytechnic National University, Nazarkevych Mariia , Oleksiv Nazar ,   Lviv Polytechnic National University
Published: September 2024

A method for recognizing contours of objects in a video data stream is proposed. Data will be uploaded using a video camera in real time and object recognition will be performed. We will use the YOLO network – a method of identifying and recognizing objects in real time. Recognized objects will be recorded in a video sequence showing the contours of the objects. The approach proposed in the project reasonably synthesizes methods of artificial intelligence, theories of computer vision on the one hand, and pattern recognition on the other; it makes it possible to obtain control influences and mathematical functions for decision-making at every moment of time with the possibility of analyzing the influence of external factors and forecasting the flow of processes, and refers to the fundamental problems of mathematical modeling of real processes. The installation of the neural network is shown in detail. The characteristics of the neural network are shown and its capabilities are substantiated. Approaches to computer vision for object extraction are shown. Well-known methods are methods of expanding areas, methods based on clustering, contour selection, and methods using a histogram. The work envisages building a system for rapid identification of combat vehicles based on the latest image filtering methods developed using deep learning methods. The time spent on identifying the machine will be 10 –20 % shorter, thanks to the developed new information technology for detecting objects in conditions of rapidly changing information.
Improvement of Text Data Storage Methods
Authors:   Lviv Polytechnic National University, Lytvyn Vasyl , Kalancha Artem ,   Yuri Fedkovich Chernivtsi National University, Uhryn Dmytro ,   Yuri Fedkovich Chernivtsi National University, Talakh Maria ,   Yuri Fedkovich Chernivtsi National University
Published: September 2024

In this research, an analysis of the qualitative characteristics of messages in the Telegram messenger was carried out, which are used as raw data for further analysis of textual content. A thorough review of the parameters of these messages, such as their format, size, presence of noise, and speed. The main goal of the article is to model the optimal approach to saving a large amount of data before the important stage of text analysis. During the research, a detailed analysis of literary sources devoted to this topic was carried out. The article examines the main advantages and disadvantages of existing data preprocessing algorithms, as well as problems related to data purity and their impact on potential research results. As part of the software experiments, the impact of data preprocessing on the size of the saved data for further use, as well as on the speed of input data generation, was evaluated. Among the proposed methods, the method of saving cleared tokens in string format and the method of saving word codes in string format together with the word-code dictionary were highlighted. This is aimed at ensuring the effective distribution of tasks of the text analysis system during the period of the day.
Use of Immersive Technologies in the Educational Process: Advantages of the Approach, Analysis of Commercial Systems, Classification of Educational Environments
Authors:   Lviv Polytechnic National University, Tsymbaliuk Tetiana , Fedasyuk Dmytro ,   Lviv Polytechnic National University
Published: September 2024

In recent years, the popularity of information technologies, their role and degree of use in many areas, in particular in the field of education, has been growing. The implementation of digital educational tools in the educational process allows to increase its flexibility, to apply more individual approaches to the education seekers and to encourage them to self-improvement. Today, the use of many digital technologies, such as audio and video devices, interactive whiteboards, computers, tablets, etc., for better learning of educational material is common in educational institutions. Immersive technologies, such as virtual reality and augmented reality, have been gaining more and more development over the last decade and are occupying their niche in the field of education. Virtual reality technologies make it possible to create an artificial interactive three-dimensional world with which the user interacts by engaging the senses. To interact with the objects of this world, you need to use special peripheral devices, which are of various types, from simple, like head-mounted displays or gloves, to complex, like navigation panels or rooms. The disadvantage of such software is the impossibility of ensuring its cross-platform compatibility for different types of hardware that can be used in the educational process. Based on the analysis of scientific literature, ways to increase the effectiveness of learning by introducing immersive learning environments into the educational process have been identified, and the main advantages of learning using virtual reality technologies compared to traditional methods have been highlighted. An analysis of modern head-mounted displays as the main device for reproducing the virtual world for educational platforms was conducted and it was determined that the most popular of them is the Oculus Quest 2 model. Through analysis of the Oculus app store, it has been determined that only a small percentage of commercial systems can be used as aids in the learning process. The article presents a formed classification of immersive educational environments, which defines a set of functions in a system of a certain type. Using the proposed classification, you can determine the necessary characteristics of the virtual reality application being developed for training and choose the optimal technologies for its implementation.
Method for Recognizing the Characteristic Elements of Protein Secondary Structure From the Llm of Its Amino Acid Sequence
Authors:   Lviv Polytechnic National University, Teplyi Yaroslav
Published: September 2024

The spatial structure of a protein determines its biochemical properties and, consequently, its function. The same applies to elements of secondary structure, which adopt shapes of helices, coiled coils, strands, sheets and other formations in three-dimensional space. Automatic detection of such formations based on their corresponding amino acid sequences in the protein will enable the cataloging of these sequence fragments, examining and systematizing their correspondence to spatial protein formations. This, in turn, should simplify the task of searching for complementary and functional similarities among different proteins. For this purpose, a method based on covariance, autocorrelation, and spatial-spectral analysis of embeddings of their amino acid sequences has been developed and tested.
Agent-based modeling of spreading infectious diseases: state-of-the-art
Authors: Saperkin N. V.
Published: September 2024

Agent-based simulation modeling provides additional opportunities to study the patterns of pathogen spread among populations, taking into account the complexity and stochasticity of the epidemic process. Agent-based modeling is considered as a computational approach in which agents with predefined characteristics can interact with each other and with the environment according to pre-specified rules. Here I consider the historical background of agent-based modeling in the field of infectious diseases, describe the basic definitions and classifications, and discuss strengths and weaknesses of agent-based modeling. The article details four interconnected main components that are subject to modeling: disease features (transmission routes, features of the infectious process), the population, movement patterns, and the environment. The article also addresses the need for validation of agent-based models. The reader's attention is drawn to the following important features of agent-based simulation models: the ability to model various scenarios on different scales (global, national, regional); the ability to use them in epidemiological studies when controlled experiments are impossible (e.g., consequences of non-compliance with preventive measures, spread of «cultural pathogens»); agents can make different decisions depending on their characteristics; consideration of behavioral aspects at the individual level; the ability to account for individual mobility and social contacts of agents. Agent-based simulation models are also well-suited for epidemiological modeling, particularly in the field of infectious disease surveillance, including emerging infections (e.g., COVID-19).
Endobronchial ultrasound-guided transbronchial fine needle aspiration: synopsis and prospects
Authors: Kobylyansky V. I.
Published: September 2024

Despite the high informativeness of minimally invasive methods for assessing respiratory system, lung tissue biopsy is often required to verify the diagnosis. Conventional methods include surgical biopsy, which considered as the gold standard but is associated with significant complications and mortality, and transbronchial biopsy, a less invasive but substantially less informative method. The most informative and novel approach is endobronchial ultrasoundguided transbronchial fine needle aspiration (EBUS-TBNA), which significantly surpasses forceps biopsy. Here I focus on EBUS-TBNA, highlighting its capabilities, the future prospects, expedient technical solutions in certain of its modification and the lack thereof in others, and approaches for the standardization.
The role of cytokines and interferons during pregnancy
Authors: Belokrinitskaya T. Е. , Vitkovsky Yu. A. , Frolova N. I.
Published: September 2024

Immune cells, cytokines, and interferons are key mediators that ensure the gestational process from implantation to childbirth. The coordination of their signaling pathways determines molecular interactions between the mother and the fetus, the physiological course of pregnancy and its outcomes, particularly in the context of maternal respiratory viral infections. Here we analyze current information on physiological and pathological roles of cytokines and interferons during gestation in both uncomplicated and complicated pregnancies. Disrupted cytokine signaling might significantly alter fetal and placental development, leading to pregnancy complications and birth defects.
Arşiv Malzemesi Olmuş Elektronik Belgelerin Entelektüel Kontrolüne Bilgi-Belge Uzmanlarının Yaklaşımı: Ulusal Düzeyde Bir İnceleme
Authors: Çiçek Aygül , Çiçek Niyazi
Published: September 2024

Amaç: Çalışmanın amacı, arşive devredilmiş elektronik belgelerin düzenlenmesi ve tanımlanması olarak da bilinen entelektüel kontrolü sırasındaki uygulamalara bilgi ve belge uzmanlarının yaklaşımını incelemektir.
Yöntem: Dijital çağda düzenleme ve tanımlamanın izi sürülerek, söz konusu uygulamaların elektronik arşiv malzemesi üzerinde nasıl ve ne şekilde gerçekleştirildiğini inceleyen bu çalışmada, nitel araştırma yönteminden yararlanılmıştır. Bu kapsamda örneklem olarak Türkiye’deki çeşitli örgütlerden belge yönetimi ve arşiv uygulamalarını tecrübe etmiş uzmanlar tespit edilerek saha çalışması gerçekleştirilmiştir. 15 kurumdan 18 katılımcı ile yapılan görüşmelerde katılımcılara 12 soru yöneltilmiştir. Çözümlenen görüşme kayıtlarının, MAXQDA nitel veri analiz programı aracılığıyla içerik analizi yapılmıştır.
Bulgular: Saha çalışmasında e-belgelerin klasik bilgi taşıyıcılarına göre birtakım yeni tanımlama alanlarının ortaya çıktığı görülmüştür. Bunlar, teknik ve teknolojik özellikler, format yapısı, çözünürlük ve üretildiği yazılım gibi bilgilerdir. Katılımcılar, bu yeni tanımlamaların mevcut üstveri alanlarına eklemeler yapılarak kullanıldığını belirtmişlerdir. Her ne kadar geleneksel arşiv prensiplerinin yeni nesil dijital taşıyıcılarla değiştiği tartışmaları olsa da bilakis bu prensiplere daha çok ihtiyaç olacağı ifade edilmiştir.
Sonuç: Araştırmada, e-belgelerin geleneksellere göre düzenleme farklılığı olduğu, güncel dönemde üretilen birçok verinin arşiv safhasında da kullanıldığı, uygulamalarda dosya düzeyi yanı sıra özellikle belge düzeyinde tanımlama yapmanın yaygınlaştığı, konuya ilişkin olarak Devlet Arşivleri Başkanlığının tanımlama kurallarıyla alakalı daha aktif rol alması gerektiği değerlendirilmiştir. Provenans ve asli düzenin, arşivlenen e-belgelerin delil değerlerinin devamlılığında önemli bir araç olarak görüldüğü, organik bağı koruyup belge hiyerarşisini kurmak için gerekli oldukları kanaati oluşmuştur.
Özgün Değer: Çalışma, e-arşiv hizmeti veren kurumlardaki uygulamalara ilişkin işleyiş ve gereksinimler
konusunda ulusal düzeyde durum tespiti yapan ilk örneklerden biridir. Dijital bilgi taşıyıcıları karşısında
bilgi-belge uzmanlarının geleneksel arşiv prensiplerine yaklaşımları açığa çıkarılmıştır. Bu makalenin
arşivlenen e-belgelerle ilgili çalışmalara katkı yapması umulmaktadır.
Ergin, E., Polat, Ö., Akkaya, M.A., Alır Derbent, G., Cevrioğlu, M.H. (2023). İzmir Milli Kütüphane Harita ve Şehir Planları Kataloğu. Nobel Akademik Yayıncılık. ISBN: 978-625-397-702-3
Authors: Erken Mehmet
Published: September 2024

Kütüphaneleri insanlık tarihi açısından değerli kılan en temel husus sahip oldukları dermenin kıymeti ve bu dermeyi kullandırabilme becerileridir. Tarihe mâl olmuş kütüphanelere bakıldığında söz konusu becerileriyle ön plana çıktıkları görülmektedir. Türkiye’de bu yanıyla Cumhuriyet öncesine de tanıklık eden, günümüzde ulusal kütüphane iklimimizin en önemli aktörlerinden birisi olan İzmir Milli Kütüphane sahip olduğu dermenin özgünlüğüyle geniş kitlelere hizmet sunmaktadır.
Dispositivos de seguridad. Afectos, prácticas y relaciones en medios urbanos
Authors: Agudo Sanchíz Alejandro
Published: September 2024

El libro adopta la noción de dispositivo tomada de Foucault, donde lo importante no es sólo un conjunto heterogéneo de artefactos tecnológicos y elementos simbólicos, legales y discursivos, humanos y no humanos, sino las redes que los interconectan para lograr el objetivo deseado –la seguridad. Este enfoque resulta más efectivo para dar cuenta del desbordamiento de límites entre lo público y lo privado, así como de la dialéctica entre des-estatalización y re-estatalización de prácticas de gobernanza y seguridad. Asimismo, ofrece la posibilidad de analizar el papel de las emociones y los sentimientos ordinarios que resultan más efectivos que las ideologías a la hora de articular los objetos, agentes, principios e ideas de la seguridad, confiriéndoles así su carácter de dispositivo.
El mini cómic como forma de representación para contrarrestar las formas de discriminación coloristas
Authors:   , Rosas Hernández Jaydi Abigail
Published: September 2024

El colorismo en México es un problema que tiene raíces que provienen desde el colonialismo, y en la actualidad, estas se extienden a la cotidianeidad de los jóvenes mexicanos, provocando que estos normalicen escenarios e ideas coloristas que fomentan la discriminación y tienen impactos altamente negativos en la percepción que tienen de sí mismos, e inclusive, llegan a afectar a sus allegados. El no proporcionarles una representación que combata los esquemas coloristas en los que se han formado provocará que estos propicien un entorno que discrimine a las pieles con un pigmento más oscuro y se sigan repitiendo patrones donde las personas negras y morenas son desplazadas y se enfrentan a un mundo de menores oportunidades ya que nunca cuestionaron el impacto de lo que aprendieron a llamar costumbre. Con el fin de proporcionar un mini cómic que les otorgue a estos jóvenes un referente que contenga sus rostros, sus entornos y la valía de sus historias sin importar si encajan o no en el estándar blanco que se enseña a aspirar, les dará las herramientas y referencias necesarias para poder apreciar el valor de su persona, de que su tono de piel no los encasilla a un estereotipo ni tampoco se deben menospreciar, se creó “Pieles Robadas” Escoger este nombre fue una tarea sencilla, una vez hecha la investigación se tenía claro que se quería resaltar a la “Piel” ponerla como el foco principal ya que es lo que se discrimina y a lo que se enseña que debemos avergonzarnos, se buscó resaltarla para darle protagonismo e importancia; el término “Robar” se quiso incluir ya que la sociedad hace sentir desdén por el tono de nuestra piel, “robando” una parte del aprecio que nos tenemos a nosotros mismos.
Exploring the competitiveness of tourism in Hungary: Recent findings and results
Authors: Tóth Géza , Gálicz Ivett Vargáné , Dávid Lóránt Dénes
Published: September 2024

This research evaluates the regionalization of tourism in Hungary, revealing the breakdown of the national gross domestic product (GDP) of tourism. It also explores the density, spatial variations, and features of these indicators. A multimodal approach is used to evaluate the competitiveness of Hungarian counties, and the distribution of these tourism regions is analyzed using the tourism penetration index. Furthermore, regional GDP is calculated for the whole territory of Hungary. The study identifies significant regional disparities in tourism competitiveness, highlighting Budapest-Central Danube as the most competitive region and Lake Balaton as underperforming despite its potential. The research contributes by providing a detailed regional GDP analysis and emphasizing the need for targeted policy interventions to enhance tourism development across all regions.
Comprehensive guidelines and best practices for implementing effective Diabetic Retinopathy Screening Programs to mitigate global vision loss
Authors: Pei Xiaoting , Li Zhijie
Published: September 2024

Diabetic retinopathy (DR) is a major cause of blindness globally. Effective screening programs are essential to mitigate this burden. This review outlines key principles and practices in implementing DR screening programs, emphasizing the roles of technology, patient education, and healthcare system integration. Our analysis highlights key principles for establishing successful screening initiatives, including the importance of regular screenings, optimal intervals, recommended technologies, and necessary infrastructure. We emphasize the roles of healthcare providers, patients, and policymakers in ensuring the effectiveness of these programs. Our recommendations aim to support the creation of robust policies that mitigate the impact of DR, ultimately improving public health outcomes and reducing the incidence of blindness due to diabetic retinopathy.
Influence of tenure policies on job satisfaction, motivations, and experiences of language teachers in Macau’s higher education
Authors: Xu Wei , Wang Yuying
Published: September 2024

Despite being controversial, teacher tenure policies are understudied, particularly in higher education contexts outside the Western world. Using semi-structured interviews with 15 university faculty members, this study explored how tenure systems influence the teaching practices, motivations, and job satisfaction of language teachers in Macau's universities. It was revealed that Macau implemented competitive, “up or out” tenure policies that were based on research output. Faculty were anxious as vague expectations heightened research priorities over teaching quality and student support. Requirements also strained collegial relationships as faculty goals focused on promotion. Veteran professors demonstrated resilience, maintaining intrinsic motivation despite policies. They advocated improving policies by promoting transparency, balancing workloads, accommodating disciplines, and communicating effectively. Using empirical data, this study identifies key policy implications for supporting teacher motivation while balancing inequality constraints. It provides empirical insight into optimizing tenure for teacher engagement and fulfillment.
The adjustment mechanism of social support, learning burnout, and learning motivation of higher vocational college students
Authors: Zhong Jianping , Xin Junde
Published: September 2024

The purpose of this study is to explore the relationship among higher vocational college (HVC) students’ social support (SS), learning burnout (LB), and learning motivation (LM), and to further explore the influence regulation mechanism. By analyzing the questionnaire survey data of 500 HVC students, this study found some important conclusions. First, a positive correlation is found between SS and LM, whereas LB exhibits a negative correlation with LM. Second, regression analysis results indicate significant influences of SS and LB on LM, with the latter serving as a partial intermediary between SS and LM. Lastly, analysis of group disparities reveals noteworthy distinctions in SS, LB, and LM across students of varying grades. These discoveries underscore the pivotal roles of SS and LB in molding the LM of HVC students, offering valuable insights for educational practices and policy recommendations. This study benefits the understanding of the key factors in the learning process of HVC students and provides a new direction for further research.
Influence of vaccination on COVID-19 reproduction rate: Time trends and persistence analysis
Authors: Monge Manuel
Published: September 2024

This paper aims to study how the increase in vaccination rate in Israel affect to the behavior of COVID-19 reproduction rate, from 19 December 2020, to 25 April 2021. Multiple advanced econometrics methodologies are used to analyze the degree of persistence, to understand the relationship between these two times series and the long-term behavior. The results of our study indicate that the vaccinations cause long-run effects to COVID-19 reproduction rate and the vaccination provides useful information to predict the COVID-19 reproduction rate. Also, we determine whatever exogenous shocks related with the virus reproduction will have a very short impact over time. The first change in trend occurs on 13 January 2021, with 24.37% of the population vaccinated and when it can be seen that the increased rate of vaccinations causes the infection rate to decrease.
Heroísmo Postsoviético
Authors: González Hernández Guillermo
Published: September 2024

Este artículo analiza la saga de películas rusas Brat (Brother), de Aléksei Balabánov, como artefactos culturales del periodo transicional entre la URSS y la Federación Rusa (1991-2000). Su aspecto más significativo es la construcción de un héroe ruso ejemplificador de los valores que el país seguiría en el nuevo milenio. El resultado es Danila Bagrov, tanto heredero como renovador de tradiciones literarias y cinematográficas nacionales. Se examina a este personaje y el entorno en el que transita según dos criterios: como agente heroico del cambio moral y social que Balabánov propone, y como participante de dinámicas propias del periodo en el que vio la luz. Estas dos facetas son responsables de su estatus actual en la conciencia popular rusa contemporánea: tanto una reliquia nostálgica de un periodo clave en su historia reciente y un emblema de un proyecto nacional aún en proceso. Asimismo, también se expone el análisis social que Balabánov hizo del panorama de su país; sus problemas inherentes y particularmente los peligros que presagiaba con la creciente occidentalización producto de la liberalización, asociada a la decadencia moral y cultural. En esta línea, se arguye que Brat es una contribución artística contemporánea al tradicional debate entre eslavistas y occidentalistas –vigente en el país desde hace siglos– a favor de una Rusia culturalmente independiente, unificada, poderosa y nacionalista.
Causes of Action Identification in Disputes over Construction Project Contracts Using Hierarchical Learning Based on BERT
Authors: Li Jianping
Published: September 2024

Causes of action identification enables appropriate classification of legal cases, which is of substantial significance for case management and resolution. This paper explores the application of artificial intelligence in identifying causes of action in disputes over construction contracts. This study utilizes a dataset comprising public judgment documents and employs the TextRank method to condense judgment documents while maintaining essential information. The classification model incorporates BERT for embedding and the fully connected layer for classification. A hierarchical learning method is proposed to address the performance decrease due to dataset imbalance. The initial dataset is employed to create several training sub-datasets, in which categories with fewer data are merged into a single category to approximate the balance in the data distribution. Each training sub-dataset is used to train a separate classification model. The trained models are then applied sequentially for text classification, and a hash table is used to correlate classification results with their respective causes of action. The effectiveness of this method is validated through 5-fold cross-validation and benchmarked against other methods, demonstrating the superiority of the proposed method in identifying causes of action. In conclusion, this paper presents an innovative method for identifying the cause of action via artificial intelligence.
Project: Malecón Buenaventura, Urban Regeneration For The Southern Area of The Island of Cascajal
Authors: Bonilla Lides Leonardo Lerma
Published: September 2024

Objective: The objective of this research is to generate the solution from the urban planning of informal settlements located in the southern area of Cascajal Island, which have been settled in an ancestral way on low-water strips which are declared as goods for public use by the Colombian State, being the same in constant illegality; establishing the following specific objectives:

Interpret the current regulations, given in Law 185/59, Decree Law 2424/84 and Agreement 03/01; constituting the baseline of urban planning, to generate new urban fiscal land, and minimize the non-mitigable risk.
Carry out urban planning; taking into account the instruments of complementary planning; developed through six units of urban actions.

 
Theoretical reference: On the goods of public use (bajamares) it is impossible to establish legal processes for formal habitats; therefore, they must be converted into fiscal assets in favor of the District of Buenaventura, to solve the settlements towards the required formality, taking into account the incidence towards the normative framework of the current territorial order given by Law 185/59 and Decree Law 2324/84
 
Method: The methodological approach was qualitative of analytic-relational type, through the normative interpretation of Law 185/59 and Decree Law 2324/84 in relation to the current territorial order; and whose data collection instruments were the documentation of normative files and government sources of district level linked to the ownership of fiscal assets
 
Result and conclusion: The expected results showed the proposed resolution as a dynamic of the urban law towards the specific implication for the territorial ordering; which raises that they must contemplate the particularities of the territories and from there generate the solutions that solve the socioeconomic, urban and environmental problems that by the inability of the State itself are perpetuated in time and where the same rules do not allow to generate the solutions.
 
Implications of the research: The urban solution proposed, demonstrates the effectiveness within urban law, of the specific regulatory interpretations on the territorial ordering
 
Originality/Value: The research on the solution of informal settlements on low-water areas in the city of Buenaventura (southern area of Cascajal Island); presents a significant originality and value for the welfare state of the poorest and most vulnerable communities, contributing to their quality of life.
Essay About The Western History of Human Rights
Authors: Portugal Fernando Luz Sinimbu
Published: September 2024

Objective: The objective of this article was to investigate the historicity of Human Rights and Human Dignity, with an emphasis on the development of religious natural law in the Roman Catholic and Apostolic periods.
 
Theoretical Framework: Works by renowned authors in Law, Social Sciences and Humanities were consulted, namely Plato, Aristotle, Thomas Aquinas, Hans Kelsen and Rafael Diehl.
 
Method: The methodology used in this research was based on a holistic and multidisciplinary analysis, that is, empirical and documentary research was essential for the hermeneutic and conceptual analysis of Human Rights and Human Dignity.
 
Results and Discussion: It is clear that the conceptual notion of human being was, is and seems to be influenced by religious and rationalist natural law perspectives.
 
Implications of the Research: The research seeks to awaken readers to the historicity of Human Rights and Human Dignity, notably regarding apparently extra-legal precepts of natural law.
 
Originality/Value: This study contributes to the Academy, in the sense of, dialectically, providing a dialogue between classical and contemporary theories on Human Rights and Human Dignity.
Development of institutions for the digital transformation of the economy of Russian regions
Authors: CHIRKUNOVA Ekaterina K. , POPOV Egor S.
Published: September 2024

Subject. The article discusses methodological approaches to the study of the impact of institutions for digital transformation of regions’ economy, the choice of evaluation indicators.
Objectives. The purpose is to determine the content of the concept of institutions for digital transformation of regions, the degree of interrelation of socio-economic development and indicators of digital transformation published by the Federal State Statistics Service, group regions according to the level of socio-economic development on the Harrington scale, determine the degree of regional digitalization to identify the strength of relationship of GRP, per capita GRP, and the strength of relationship of particular indicators characterizing digitalization.
Methods. We applied general scientific research methods, the Harrington scale grouping method, and the correlation analysis method.
Results. We reviewed methodological approaches to the content of concepts of digitalization, digital transformation, and digital institutions; determined the strength of relationship of socio-economic development, sectoral structure, and the level of digitalization of regions, using the Volga Federal District case.
Conclusions. The most acute problem is economic and digital inequality of regions. The socio-economic development of regions and their digital indicators statistically have high strength of relationship, they have mutual influence.
Brazil as a promising market for Russian technologies in the field of digitalization of agriculture
Authors: RATNER Svetlana V. , PUGACHEVA Irina A. , AGAFOSHIN Mark O. , NEVEDOMSKAYA Aleksandra O.
Published: September 2024

Subject. The article addresses Brazil as an attractive market for Russian technology development in the area of agriculture digitalization, as this country is interested in using modern technologies to optimize processes in agriculture.
Objectives. The study aims to examine the current level of digitalization of Brazilian agriculture and determine prospects for cooperation between Russia and Brazil in the application of information technology in this sector.
Methods. The study draws on methods of statistical, comparative, and economic analyses.
Results. Digitalization enables Brazil to increase agricultural productivity through precision farming, lower production costs, improve product quality by monitoring and control of growing conditions, and reduce harmful environmental impact. An integrated approach to the use of digital technologies also plays an important role. We formulated recommendations for agriculture development in Brazil based on the Russian experience of using digitalization tools.
Conclusions. Brazilian agriculture is of great importance in ensuring food security not only in Brazil, but also in many other countries. Therefore, it is crucial to introduce modern technologies into this sector.
“Eski Tıp” metni ve ampirik tıbbın kökenleri
Authors: Yılmaz Özgür , Kadıoğlu Ateş
Published: September 2024

OBJECTIVE: In our study, the relationship between medicine and philosophy, which are still in their infancy, will be analysed and the empirical understanding of medicine proposed against the rational methods of philosophy in the context of the text titled “Ancient Medicine” in the “Hippocratic Corpus” will be discussed. MATERIAL and METHODS: Academic research. RESULTS: The ancient origins of empirical medicine are investigated. CONCLUSION: The text entitled ‘Ancient Medicine’ in the Corpus Hippocraticum is the first known attempt to make medicine independent of philosophy as well as of mysticism and magic. Keywords: ancient Greek medicine, corpus hippocraticum, empirical medicine
Prematür ejakülasyon tanılı hastalarda depresyon ve kaygı düzeylerinin değerlendirilmesi
Authors: Sağır Süleyman , Allahverdi Şule , Ergün Müslüm , Katar Kübra Sezer
Published: September 2024

OBJECTIVES: Premature ejaculation patients often present to the hospital with poor psychological conditions. The aim of this study is to evaluate the levels of depression and anxiety in patients presenting with premature ejaculation complaints. MATERIAL and METHODS: The study included only patients with lifelong premature ejaculation (PE) and acquired PE. A total of 80 patients were included in this study. After recording demographic data such as age, height, weight, body mass index (BMI), occupation, etc., patients who met the inclusion criteria were administered the Beck Depression Inventory (BDI) and Hospital Anxiety and Depression Scale (HADS) questionnaires to assess the severity of depression and anxiety. RESULTS: The premature ejaculation evaluation questionnaire scores, Beck Depression Inventory (BDI), and Hospital Anxiety and Depression Scale (HADS) scores were found to be significantly higher in individuals with premature ejaculation duration of less than 30 seconds compared to those with a duration of over 30 seconds (p<0.05). Additionally, correlation analyses showed that as the premature ejaculation questionnaire score increased, both the BDI score (r=0.775) and HADS score (r=0.882) also increased. CONCLUSION: In male patients, an increase in the severity of premature ejaculation is associated with an increase in depression and anxiety levels. Therefore, a multidisciplinary approach should be exhibited in the evaluation and treatment of patients. Keywords: premature ejaculation, depression, anxiety
The effect of infant temperament on mothers’ sexual satisfaction
Authors: Gürel Reyyan , Akdağ Topal Cansu , Ay Ayşe , Gülgün Altıntaş Melek , Ercan Koyuncu İlçim
Published: September 2024

OBJECTIVE: The aim of this study is to examine the effects of an infant’s temperament on a mother’s sexual satisfaction. MATERIAL and METHODS: This descriptive and correlational study was conducted between 03/15/2024–07/01/2024. The study included 187 mothers who were reached by the snowball sampling method through the online platform. The inclusion criteria were voluntary participation in the study, being literate, having a baby between the ages of 0 and 1, having an active sexual life, having a cell phone and the ability to use social media platforms such as WhatsApp/Instagram. Data were collected using the “Sociodemographic Questionnaire Form”, “New Sexual Satisfaction Scale-Short Form (NSSS-SF)” and “Infant Behavior Scale (IBS)”. RESULTS: The mean age of the mothers was 28.84±5.37 years. The mean score of the Positive Affect sub-dimension of the BIS was 28.84±5.37, while the mean score of the Negative Affect sub-dimension of the BIS was 71.44±19.63. The mean total score of NSSS-SF was 58.24±16.85. NSSS-SF relationship quality subscale mean score was 19.89±5.44, harmony with partner subscale mean score was 10.38±2.59 and sexual pleasure subscale mean score was 10.85±4.34. A low level negative significant correlation was found between the mean score of “IBS” negative affect subscale and the mean scores of “NSSS-SF” scale relationship quality and harmony with partner subscales. CONCLUSION: The findings showed that there was a significant relationship between the particularly negative effects on infant temperament and maternal sexual satisfaction. It turned out that infants with negative temperament can reduce a mother’s sexual satisfaction. Nurses can develop interventions that support a mother’s mental health and sexual satisfaction by integrating infant temperament and maternal sexual health into routine care. Furthermore, promoting open communication between parents about sexual health and parenting challenges may help reduce negative effects on sexual satisfaction. Keywords: infant temperament, sexual satisfaction, sexual behaviour
Genç kadınların cinsel sağlık okuryazarlık düzeylerinin evlilik öncesi riskli cinsel davranışları üzerine etkisi
Authors: Kaplan Doğan Ece
Published: September 2024

OBJECTIVE: The aim of this study is to determine the effect of young women’s Sexual Health literacy levels on their risky sexual behaviors before marriage. MATERIAL and METHODS: The descriptive type of research was conducted with 356 young female students studying at the Midwifery Department of the Faculty of Health Sciences of Gaziantep University in the 2023-2024 academic year. “Personal Information Form”, “Sexual Health Literacy Scale (SHLS) and “Premarital Risky Sexual Behavior Assessment Scale for Young Women (PRSAS-YW)” were used as data collection tools. RESULTS: Young women’s SHLS total score average was found to be 54.37±9.96, their sexual knowledge subscale average score was 32.22±9.00, and their sexual attitude subdimension average score was 17.35±4.31. The mean total score of young women on the PRSAS-YW was found to be 74.54±13.15. When looking at the average scores of the PRSAS-YW subscales; motivating beliefs were determined as 37.02±6.62 points, facilitators were determined as 24.92±5.56 and hindering factors were determined as 12.59±3.51 points. A negative, weakly statistically significant relationship was found between the SHLS and PRSAS-YW total score averages (r=-.243, p=0.001). Sexual Health literacy explains the change in premarital risky sexual behavior scores at a level of 0.59% (F = 22.167; p = 0.001). CONCLUSION: It was found that young women had high Sexual Health literacy levels and a positive sexual attitude, and their risky sexual behavior before marriage was low. Additionally, it has been determined that as Sexual Health literacy levels increase, the risk of premarital sexual behavior decreases. Keywords: Sexual Health literacy, premarital sexuality, young women, midwifery