bluuebunny/crossref_metadata_2025 huggingface dataset:
The method of requirements prioritization in software engineering
Authors:   International European University, Nesterenko O.V.
Published: February 2025

In software development processes, requirements prioritization plays a key role. Proper gathering of requirements and their objective prioritization can ensure a sequential and effective development of a software project. With the increasing complexity of software, which is a characteristic of today, problems related to defining requirements also increase. It becomes increasingly challenging to identify the most important and essential requirements in a stream of wishes and recommendations, determining what should be the starting point of development and where the most attention should be focused. The task of requirements prioritization is multi-criterial and poses significant cognitive loads. Most researchers and professionals suggest expert methods for decision-making in such environments, which to some extent help solve the tasks at hand. However, among the known requirements prioritization methods, practically all involve qualitative descriptive analysis based on brainstorming techniques. At the same time, in the modern conditions of digitalization, providing decision support based on a comprehensive presentation of the information model of the subject area and processing through information technologies for quantitative assessment of alternatives is more promising. Another important capability of modern technologies is visualization of decision-making processes. Thus, this work explores a comprehensive prioritization method that involves a full presentation of the information picture of the subject area, including in the form of computer ontologies, applying a quantitative AHP method for comparing requirements, and visualized data in gra phs for considering alternatives. Additional use of a modified SWOT matrix allows for the disaggregation of requirements into their individual characteristics and consideration of their advantages for problem evaluation. The existence of such tools and the capabilities of information technologies confirm the effectiveness and stability of the proposed method.
Software development for contextual advertising of listings in the real estate domain
Authors:   Institute of Software Systems NAS of Ukraine, Hromenko V.V.
Published: February 2025

Advertising plays a crucial role in the success of a product, particularly in the real estate sector, where competition is fierce, and the properties' characteristics are complex. This article examines the advertising of real estate listings on a specialized aggregator website, which can provide additional context for the user's search, potentially enhancing the effectiveness of advertising campaigns. The paper discusses existing approaches and solutions for contextual advertising and sponsored search in real estate and the peculiarities of developing such solutions. It analyzes the main problems encountered in creating an algorithm for analyzing the context of advertising in real estate and proposes an alternative approach to implementing a contextual advertising algorithm, utilizing domain-specific expert knowledge. This approach to developing a contextual advertising algorithm may be more appropriate for organizations that lack the resources for developing and implementing machine learning-based solutions and associated data quality and volume management but possess expert knowledge in the field. To create such an algorithm, A/B testing is used to verify hypotheses related to the specificity of the listings and user behavior on the site, which allows not only to develop the algorithm but also to prove its effectiveness with real users. The article also notes the disadvantages of this approach, one of which is the long duration of the experiments. The paper presents the outcome of this approach in the form of an algorithm for real estate advertisement, which utilizes the characteristics of real estate objects, such as location, and the user's browsing history for remarketing. Using the UML language, component, and sequence diagrams of the example software for contextual advertising have been created.
Machine vision systems for detection of fast-moving objects in low visibility conditions
Authors:   Glushkov Institute of Cybernetics NAS of Ukraine, Tovstenko L.M. , Kosovets М.A. ,   UNIT, Tovstenko O.A. ,   Technical University, Graz, Austria
Published: February 2025

Machine vision technology for the detection of fast moving objects in low visibility conditions requires a more careful approach to the optical system, image processing tools, cameras based on a silicon and indium gallium arsenide focal plane matrix in the infrared range, which take into account the magnitude and variation of atmospheric brightness, ground illumination and evaluation of sensitivity and cameras in the terahertz range. Since the main focus is on aerial objects that have low visibility, especially in the dark, the use of infrared cameras has become the standard. The movement of the object, the shortcomings of the optical system create additional difficulties when processing the effects of interference, thermal noise of cameras, respectively, the volume and time of calculations increases, which play a key role in real-time systems for detecting and tracking moving targets. In order to take into account the spectral characteristics of cameras and the influence of external factors, neural networks with deep learning are applied with the maximum use of image processing packages.
Neurosymbolic approach for attack detection in satellite communication systems
Authors:   Glushkov Institute of Cybernetics NAS of Ukraine, Mostovyi O.S.
Published: February 2025

In the context of increasing cyber threats, the pressing task becomes the implementation of new protection systems for satellite communications. The proposed article presents an innovative neurosymbolic method for attack detection that integrates the capabilities of artificial intelligence and neural networks for effective countermeasures against threats in the domain of satellite communication. The foundation of the development is the synthesis of the strengths of symbolic artificial intelligence and deep learning, enabling highly accurate recognition and neutralization of complex attacks. The architecture of the proposed system is thoroughly detailed, including its key components, mechanisms of operation, and implementation process. Analyzing data from satellite and terrestrial networks, the system's effectiveness is evaluated using machine learning methods, demonstrating significant improvements in intrusion detection compared to existing approaches. Special attention is given to the model's ability to adapt to new types of attacks, ensuring its longterm relevance and efficiency. The architecture of the chosen multilayer neural network includes a symbolic layer, designed for analyzing network input data for vulnerabilities or attacks based on a knowledge base. Experiments on datasets of attacks and vulnerabilities such as CTU-13 and STIN allow for the testing and confirmation of the high efficiency of the proposed method. Thus, this research paves the way for improving cybersecurity systems in the field of satellite communication, contributing to the creation of a mor e secure space environment.
Mathematical methods of planning in systems consisted of rational agents
Authors:   Institute of Software Systems NAS of Ukraine, Sinitsyn I.P. , Doroshenko A.Yu. ,   Institute of Software Systems NAS of Ukraine, Pashko S.V. ,   Institute of Software Systems NAS of Ukraine
Published: February 2025

The paper is devoted to mathematical methods of planning in systems consisting of rational agents. An agent is an autonomous object that has sources of information about the environment and influences this environment. A rational agent is an agent who has a goal and uses optimal behavioral strategies to achieve it. It is assumed that there is a utility function, which is defined on the set of possible sequences of actions of the agent and takes values in the set of real numbers. A rational agent acts to maximize the utility function. If rational agents form a system, then they have a common goal and act in an optimal way to achieve it. Agents use the optimal solution of the extreme problem, which corresponds to the goal of the system. The problem of linear programming is considered, in which the number of product sets produced by the system is maximized. To solve the nonlinear problem of optimizing the production plan, the conditional gradient method is used, which at each iteration allows a posteriori estimation of the error of the solution and allows stopping the calculation process after reaching the required accuracy. Since the rational agents that are part of the system can have separate optimality criteria, multi-criteria optimization problems appear. The article considers a humanmachine procedure for solving such problems, which is connected with the conditional gradient method and uses information from the decision-maker (DM) at each iteration. The difficulties of this approach are that the DM is not able to make decisions many times under the condition of a significant number of iterations of the nonlinear programming method. The article proposes to replace OPR with an artificial neural network. Nonlinear and stochastic programming methods are used to find optimal parameters of this network.
Application of coevolution strategy to solve the problem of autonomous navigation trough the maze
Authors:   Institute of Software Systems NAS of Ukraine, Omelianenko Ia.V. , Doroshenko A.Yu. ,   Institute of Software Systems NAS of Ukraine, Rodin Ye.S. ,   Institute of Software Systems NAS of Ukraine
Published: February 2025

This study explores the use of coevolutionary methods to address the challenge of navigating through complex mazes using autonomous agents controlled by artificial neural networks (ANNs). It underscores a critical impediment to algorithmic optimization: the close interdependence between the task's goal and the objective function used for optimal solution discovery. The task's goal is clear—identify the most efficient route through the maze. However, the objective function's formulation is more complex. In complex maze layouts, numerous deceptive areas may appear proximate to the exit but culminate in dead ends. Consequently, an elementary objective function that merely gauges the proximity to the exit can encounter numerous local optima within this deceptive search space, hindering the search for optimal solution. As maze complexity increases, such an objective function inevitably becomes ensnared in a local optimum, rendering the navigation issue unsolvable. To counteract this, the study proposes a coevolution strategy involving a population of decision-making agents and a population of objective function candidates. This approach diverges from prior research by incorporating the NEAT algorithm to steer the coevolution of both populations. Additionally, the Novelty Search (NS) method was suggested to optimize the search within the potential solution space, favoring the most novel solutions. The paper details the mathematical framework for crafting the objective function template, which integrates the novelty value of the discovered solution and its distance from the maze's exit. This framework serves as the foundation for defining the genomes of the organisms — candidates for the objective functions. For comparison with preceding works, an experiment was conducted to evaluate the efficacy of the proposed coevolution method in resolving the problem of navigation within a complex maze environment.
Human face recognition system in video stream
Authors:   NTUU "KPI", Popereshnyak S.V. , Skoryk R.O. ,   NTUU "KPI", Kuptsov D.V. ,   Institute of Software Systems NAS of Ukraine, Kravchenko R.V. ,   Institute of Software Systems NAS of Ukraine
Published: February 2025

In the work, an analysis of detection methods and faces in the video stream and their effectiveness in real time was carried out. Modern algorithms and pre-trained models have been found to be able to recognize faces with high accuracy, but their significant drawback is, in particular, vulnerability to attacks using fake faces. Therefore, the work also analyzed approaches to detecting living faces and the possibility of their implementation in the system. Using an object-oriented approach, a tool for face capture, receiving a video stream from various sources, detecting unknown and previously captured faces in a video stream, and recognizing live faces was designed and developed. The system has been adapted to work in real time using the GPU. The work improved the architecture of a convolutional neural network for recognizing living faces with the creation of a dataset from a combination of own footage and open datasets. Also, a user interface for the face recognition system was developed. The work improved identification procedures and simplified detection of persons on video for employees of the security department of enterprises by implementing liveness detection face recognition methods. As a result of the research, a system was designed, which is intended for detection, recognition and detection of living faces in a video stream. After analyzing the known successful software products, niches that need a new solution were identified. Based on them, functional and non-functional requirements were developed. The process of recognizing faces in the video stream has been modified by implementing our own Liveness Detection model.
Use of artificial intelligence sn the application for working with musical notes
Authors:   NTUU "KPI", Popereshnyak S.V. , Fuks V.I. ,   NTUU "KPI", Tsurkan A.K. ,   NTUU "KPI", Zhebka V.V. ,   State University of Information and Communication Technologies
Published: February 2025

In the work, existing software solutions and successful IT projects were analyzed and their advantages and disadvantages were identified, which helped determine the requirements for a product that would be competitive and meet the requirements of the modern market. Modeling and designing of the software was carried out, the client-server architecture of the application was described, as well as the interaction of subsystems. The mobile application was developed and tested, and further directions for improvement and development of the application were determined. The application processes a PDF file with a given metronome speed in mp3 and mp4, which gives the user the opportunity to see and listen to the sheet music. The project includes an Android application with a clear and convenient interface, integration with external utilities and libraries. In the work, the processing of files from pdf format to such music and playback files as midi, musicxml, mp3, mp4 is collected in one stream. The process of parsing and playing with full-cycle processing of music files has been improved, by providing the user with all software modules, and the process of processing visual notes and bringing them to easy-to-use files, such as videos that combine notes with sound, has been improved. The work is important because it contributes to the development of digital music processing methods. The introduction of modern technologies for note recognition and visualization of musical elements contributes to technological progress in the field of music development.
Integrated open source metadata aggregation environment to support scientific research
Authors:   Institute of Software Systems NAS of Ukraine, Novytskyi O.V.
Published: February 2025

Metadata for electronic libraries is an integral part of the organization and access to digital resources. In this article, we explore common approaches to e-library integration, focusing on metadata analysis, protocols, and software. The types of metadata considered, such as descriptive, structural, administrative, preservation metadata, rights metadata, and technical metadata, reveal various aspects of digital resources. Various protocols and approaches to integration are considered, in particular the OAI-PMH protocol, which plays a key role in providing access and metadata exchange between repositories. An overview of software for integration using the OAI-PMH protocol is also provided, including a comparative table of characteristics of popular software solutions. This article helps to understand the importance of metadata and the effectiveness of its use to ensure access to digital resources in the modern scientific environment. The processes of extraction, transformation, loading, which can be used in the semantic integration of data through OAI-PMH, are described in detail. Software for the integration of electronic libraries and open access journals was also reviewed and key functions for creating an effective scientific environment were identified.
Students’ Satisfaction on Online Mathematics Learning and Academic Performance of College Students
Authors: Boncales  Ethelle Dayne , Blasquez Mary Felanie , Blawis   Johane , Galleroso  Cathrina , Gempisao  Nezsa , Saldia    Elizabeth , Austral  Lorefi , Tupaz  Sylvia
Published: February 2025

This study investigated the relationship between student satisfaction with online mathematics learning and their academic performance at the University of Bohol's Teachers College Department during the 2020-2021 academic year. Satisfaction with online mathematics learning was measured by student perceptions of their experience in the online environment. Academic performance was assessed using final grades in mathematics courses. A quantitative, correlational research design was employed and the target population consisted of 431 students enrolled in mathematics courses within the department. A sample of 65 students was randomly selected, based on a 95% confidence interval and a 5% margin of error. A researcher-developed questionnaire, demonstrating acceptable reliability with a Cronbach's alpha of .827 in a pilot test of ten students, was used to collect data on student satisfaction. Ethical considerations were prioritized, with informed consent obtained from all participants and strict adherence to privacy and anonymity protocols, ensuring a "do no harm" approach. Spearman's Rank Correlation Coefficient was used to analyze the data. The findings indicated no statistically significant correlation between student satisfaction with online mathematics learning and their academic performance. This suggests that, within the context of this study, satisfaction with the online learning environment did not appear to be related to students' final grades in mathematics
Investigating The Impact of Intelligence Quotient on English Achievement Andapsa Results Among Learners
Authors: Suarez Elsa , Alpuerto Maribeth
Published: February 2025

Intelligence Quotient is a measure of a mental/functional age over the chronological period. IQ can be used to predict the academic success of the students in school but never in their life as a whole (Orloff, 2008). This study investigated the relationship of the learners' IQ to their achievement level in English and APSA results. Ninety-one intermediate learners from the University of Bohol Victoriano D. Tirol Advanced Learning Center in the academic year 2018 – 2019, were included in the study by random selection. It utilized the quantitative research method and employed documentary analysis of the student's existing records. The statistical treatments used were: frequency, percentage, rank, mean, Pearson Product-Moment Coefficient of Correlation, and T-test. The results revealed that the IQ test results and the achievement level in English, IQ test and APSA results in English, achievement level and APSA results in English significantly correlated. Students who performed better on the IQ test had higher achievement levels in English; students with higher achievement levels in English also got higher APSA ratings; and students with higher IQ test results performed better in the APSA. However, it was found out that there is a need to improve the performances of the intermediate learners in terms of their IQ, achievement level, and APSA results in English to a higher level.
Issues of endoscopic diagnosis and treatment for complications of portal hypertension
Authors: Mikhin S.V. , Mozgovoy P.V. , Mandrikov V.V. , Kitaeva A.V. , Sharashkina L.V. , Mikhin I.V.
Published: February 2025

In addition to its recognized efficacy, endoscopic band ligation (EBL) of esophageal varices can lead to a number of complications, among which post-banding ulcer bleeding (PUB) has a special place. Model of end-stage liver disease >18 index in combination with emergency EBL has been found to be the most likely predictor of PUB. The choice of effective endoscopic treatment for gastric variceal (GV) is often reduced to endoscopic interventional techniques. Here, the choice of intervention under the control of endoscopic ultrasound scanning (EUS) has shown its superiority over traditional endoscopic and X-ray endovascular methods of treating. Standard EBL and endoscopic sclerotherapy (ES) have a higher complication rate in the treatment of gastrointestinal ectopic varices (GEV). Bypass surgeries do not always achieve eradication or regression of GEV. The use of EUS allows delineation of afferent vessels for direct injection of sclerosant, which is not feasible with conventional endoscopic treatment. The main causes of non-variceal portal bleeding are portal hypertensive gastropathy (PHG) and gastric antral vascular ectasia (GAVE). New minimally invasive diagnostic methods allow to differentiate PGH and GAVE with high specificity, and can help in understanding the etiopathogenesis of GAVE and finding effective ways of its treatment.
An Overview of ADAR Inhibitors: Mechanisms, Applications, and Future Directions
Authors: Ali Taufeeque , Qi Cao
Published: February 2025

Adenosine deaminases acting on RNA (ADARs) are enzymes responsible for converting adenosine to inosine in double-stranded RNA through a process known as A-to-I editing. This modification is essential for regulating RNA function, impacting key processes such as immune response, gene expression, and RNA stability. ADARs, especially ADAR1, have been linked to several diseases, including cancer, viral infections, and autoimmune disorders, making them promising targets for therapeutic development. Currently, no FDA-approved drugs are specifically marketed as ADAR inhibitors. This review offers a brief analysis of known ADAR inhibitors, with a focus on their mechanisms of action, structural properties, and potential applications. We explore a range of inhibitors, including small molecules, peptide-based inhibitors, natural compounds, and RNA-based inhibitors, and discuss their ability to selectively modulate ADAR activity. The review also addresses the therapeutic implications of these inhibitors in cancer, viral infections, and inflammatory diseases. In addition, we examine future directions for developing more selective and potent ADAR inhibitors, emphasizing both the challenges and opportunities in the field. By consolidating current findings and identifying existing gaps, this review aims to enhance the understanding and therapeutic potential of ADAR inhibition.
TNFSF14 and CD44 are overexpressed in glioblastoma and associated with immunosuppressive microenvironment
Authors: Zottel Alja , Šamec Neja , Jovčevska Ivana
Published: February 2025

Glioblastoma (GBM) is one of the deadliest cancers, and the survival rate has remained low for decades. The aim of the study was the construction of the programmed death-ligand 1 (PD-L1) network, identification of its interactors and over-represented pathways, and analysis of the association between the identified genes and the immunosuppressive microenvironment of GBM. The PD-L1 network was constructed using Cytoscape and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Over-representation analysis was performed on WebGestalt using Kyoto Encyclopedia of Genes and Genomes (KEGG), Protein ANalysis THrough Evolutionary Relationships (Panther), and Reactome Pathway Database (Reactome). Gene expression levels were examined in silico using three large datasets (The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Rembrandt), as well as with qPCR. The association between PD-L1 gene expression and immune cell infiltration was analyzed using the Tumor Immune Estimation Resource (TIMER 2.0) online tool. Cluster of differentiation 44 (CD44) and tumor necrosis factor superfamily member 14 (TNFSF14) were found to be significantly overexpressed in GBM compared to lower-grade glioma (LGG) and normal brain tissue. Their overexpression was associated with worse overall survival and demonstrated a strong ability to differentiate between GBM and reference brain tissue. Notably, CD44 and TNFSF14 were linked to the mesenchymal subtype of GBM and positively correlated with the presence of regulatory T cells, resting natural killer (NK) cells, and PD-L1 expression. Our findings highlight the overexpression of CD44 and TNFSF14 in GBM and their potential involvement in creating an immunosuppressive microenvironment. Unraveling the PD-L1 interaction network and its associated pathways offers the potential not only to identify novel biomarkers for GBM prognosis but also to pinpoint alternative therapeutic targets that could be more effective in overcoming the immunosuppressive hurdles inherent in GBM treatment.
Methylene blue mitigates lung injury in HCA rats by regulating macrophage pyroptosis via Nrf2/HO-1 and NLRP3 pathways
Authors: Ding Fuyan , Wang Hong , Qiao Gang , Zhang Zhidong
Published: February 2025

Methylene blue (MB) has antioxidant properties, yet its role in acute lung injury (ALI) induced by hypothermic circulatory arrest (HCA) remains unexplored. This study investigates MB’s effects and underlying regulatory mechanisms in an HCA rat model. Rats received an intravenous bolus of MB (1 mg/kg) 15 min before HCA induction. Physiological parameters were monitored, and bronchoalveolar lavage fluid (BALF) was collected 2 h postoperatively to assess total protein levels, inflammatory cells, and cytokines. Histopathological lung damage was evaluated using hematoxylin–eosin (H&E) and TUNEL staining. Inflammatory markers and oxidative stress indicators were measured via ELISA and dihydroethidium (DHE) staining. Alveolar macrophages (AMs) were isolated to analyze polarization using flow cytometry and immunofluorescence double staining. Pyroptosis in AMs was detected with Yo-Pro-1 and Hoechst 33342 staining. Additionally, Western blotting was performed to examine the nuclear factor erythroid-2 related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) pathway, Nod-like receptor protein 3 (NLRP3) inflammasome, and pyroptosis-related proteins. Following HCA, rats exhibited significant blood gas abnormalities, structural lung damage, increased pathological scores, and higher apoptosis rates. However, MB mitigated these effects, improving physiological parameters and reducing lung histopathology scores. MB also lowered proinflammatory cytokine levels, increased SOD and GSH-Px activity, promoted AM polarization toward the M2 phenotype, and decreased pyroptosis. Mechanistically, MB activated the Nrf2/HO-1 pathway while inhibiting NLRP3 inflammasome activation. Notably, Nrf2 inhibitors and NLRP3 agonists weakened MB’s protective effects by promoting inflammasome activation and pyroptosis, whereas Nrf2 agonists and NLRP3 inhibitors enhanced MB’s beneficial impact. In conclusion, MB attenuates HCA-induced ALI by modulating AM polarization and pyroptosis via Nrf2/HO-1 pathway activation and NLRP3 inflammasome inhibition.
Androcentrism and Violence in Online Video Games: Perpetuation of Gender Inequality
Authors: Esteban-Ramiro Beatriz , Fernández de Castro Patricia , Díaz-García Orlanda
Published: February 2025

This article aims to offer an analysis of the presence of hate speech, harassment, and cyber‐violence towards women in the interaction within massively multiplayer online video games (MMOs), an act of gender‐based violence perpetrated through new technologies in an environment generally described as androcentric. Filling a gap in the experience in Spain, a qualitative methodology was applied that allowed us to analyse the forms of harassment towards female video gamers, as well as some of the consequences of experiencing these situations for them. A systematic analysis of the discourses was carried out after five focus groups and 15 in‐depth interviews with young people between 18 and 29. Amongst the results, it is worth highlighting that, as occurs in offline reality, in MMOs gender schemas and asymmetric relationships are reproduced that perpetuate gender‐based violence. On the one hand, female gamers affirm that they suffer sexist violence in gaming environments through the use of language focused on physical appearance, hypersexualisation, and undervaluation, and are often considered intruders. On the other hand, they also report experiencing overprotective and paternalistic behaviours. Female gamers sometimes decide to leave their games, or avoid certain types of games apriori, because of toxic behaviours perpetrated by male gamers, which generates feelings of discrimination in their experiences as players, perpetuating androcentric patterns in this sort of environment. Applying a gender approach, this article will examine the social implications of these behaviours in order to propose appropriate social and educational responses.
An integrative concept of the knowledge management cycle and organisational distinctive competences
Authors: Ilkevich S. V.
Published: February 2025

This article develops a complement to the integrative concept of the knowledge management cycle with a strategic competence subsystem, aimed at the sustainable growth of distinctive competences. The presented integrative concept of the knowledge management cycle and the organisation’s distinctive competences allows to extend the conceptual framework of the approach aimed at combining the paradigms of the resource approach to strategic management and knowledge management. It is an attempt at a broader and more systemic interpretation of the approach that has emerged in recent years around the concept of knowledge-based dynamic capabilities (KBDC). As the organisation evolves, capabilities and competencies are constantly and dynamically recombined in updated configurations that allow for a flexible response to changing business conditions while maintaining a conscious focus on the organisation’s significant long-term goals. At the same time, it is important to integrate knowledge as a kind of circulatory system that will circulate between the various competence bodies of the organisation, especially in relation to distinctive competences, although many of the principles are equally applicable to core competences. An organisation within the framework of such a paradigm in the context of the modern knowledge economy, can be defined as an intentionally directed knowledge system that strategically builds its pool of distinctive, key and unique competencies within the framework of an ascending and increasingly complex spiral reproduction of data, information and knowledge flows.
TENDENCIAS COMPLEJAS EN LA CONSTRUCCIÓN Y DIVULGACIÓN DEL CONOCIMIENTO JURÍDICO Y DEL DERECHO
Authors: Hernández García de Velazco Judith Josefina , Piana Ricardo Sebastián , Araque Barboza Francis Yrama
Published: February 2025

En el mundo científico actual del S. XXI, las ciencias sociales al igual que en otros campos de conocimiento se intensifican en sus abordajes en una complejidad e incertidumbre que requiere la necesaria y múltiple interrelación entre las diferentes áreas del conocimiento. Esta dinámica se produce desde las propias situaciones, realidades y problemáticas que son abordadas tanto teórica como metódicamente en el estudio jurídico, del derecho, de las ciencias afines y entre ellas mismas de manera colaborativa. En ese orden de ideas, el derecho tiene que mostrarse en el relacionamiento adyacente entre disciplinas, reconociendo estas interrelaciones con el objeto de generar nuevas categorías y sistemas, ciencia compleja, diversa, oportuna, autoregulativa, para generar y divulgar con impacto el conocimiento científico que se deriva.
Legal Basis for the Creation and Functioning of International Universities in the Republic of Kazakhstan
Authors: Berdibaev Nurzhan , Tlepina Sholpan , Berdibaev Yerzhan , Tleulesova Bagila , Rzagulova Saltanat
Published: February 2025

Without defining the concept of an international university and highlighting its features, Kazakh legislation in the field of higher education allows the creation of international universities based on intergovernmental agreements or government decrees. However, Kazakh practice took a different path when international universities began to be established without complying with the conditions stipulated by law. The purpose of the article was to discuss the legal basis for the creation and functioning of international universities in Kazakhstan. The study involved an in-depth analysis of Kazakhstan’s legislation pertaining to higher education and international universities. This included a review of legal documents, comparative analysis with international standards, and examination of case studies of existing international universities in Kazakhstan. Approaches to the concept and content of international universities in scientific literature were analyzed. According to the scientific doctrine and practice of creating and operating universities, the concept of international universities comprises a wider list of universities based on various criteria than those provided for by Kazakh legislation. To classify some universities as international, the scope of their activities was defined, which should go beyond the national system of education and science, as evidenced by a university’s work on the internationalization of education, contributing to intercultural and international interaction. The article highlights that Kazakh legislation classifies universities as international only if they are created with the efforts of representatives of two or more countries. However, this approach does not reflect the real functioning of international universities. The paper also proposes ways to improve the current legislation to adequately reflect the establishment and system of activities of international universities.
Identidad, autonomía y autodeterminación: reconocimiento jurídico de comunidades y pueblos indígenas en Colombia y Chile
Authors: Martinez Durango Lina Marcela , D' Amato Castillo Guissepe , Campos Benavides John
Published: February 2025

Este artículo analiza la distinción jurídica, histórica y sociológica entre pueblo originario y comunidad indígena como un estudio comparado entre los pueblos nativos de Chile y Colombia, sus conceptos y reconocimientos en distintos ordenamientos jurídicos y tratados internacionales; asimismo la importancia que tuvo la Corona Española en el desarrollo de las sociedades indígenas y su paso hacia la integración al mundo del Derecho. Tiene como objetivo principal describir la evolución legal y jurisprudencial de los derechos fundamentales de las comunidades y pueblos de ambos países, destacando la autonomía y determinación de estos al momento de autor reconocerse como un colectivo social con una identidad, cultura y patrimonio propio de la época precolombina. El diseño metodológico corresponde a un estudio bibliográfico–documental. Dentro de los resultados de este artículo de investigación se encuentra como a propósito de las etnias o pueblos originarios, a simple vista, existe en esta aproximación una forma distinta de abordar esta temática. Con relación a los hallazgos investigados, se identifica una evolución social progresiva en estas comunidades a lo largo del tiempo, lo que les ha permitido resistir a conflictos bélicos y a la formación del Estado. Como conclusiones preliminares, se destaca un concepto jurídico perdurable sobre la importancia de la identidad en las comunidades y pueblos indígenas, subrayando su relevancia a lo largo de la historia.
Environment and Armed Conflict: Perspectives of Former Combatants of the Revolutionary Armed Forces of Colombia (FARC)
Authors: Sorzano-Rodríguez Deisy Milena , Villamizar-Escobar Juan Diego , Galván-Vela Esthela , Ravina-Ripoll Rafael
Published: February 2025

Colombia is home to the longest-running armed conflict in history. This situation has had negative repercussions on various social, economic, political, and environmental aspects. Specifically, this study aimed to analyze the environmental consequences of the armed conflict in Colombia through the interpretation of general notions about the conflict and its link to environmental degradation. To accomplish this task, an exploration of the context was conducted, including the general characteristics of the territory that contributed to the emergence of the conflict, the environmental damages caused during the war, and the main actors involved in the degradation of the territory, based on the perceptions, opinions, experiences, and feelings of former combatants. Information was collected through in-depth interviews. The results focused on understanding the significant elements of the link between the environmental situation and the post-peace agreement period. This study prompts reflection on the indirect implications of war and provides valuable insights for the design and implementation of public policies aimed at preventing environmental deterioration, promoting reconciliation, and improving the living conditions of the affected population.
Política Pública de Ordenamiento Territorial: escenario de disputas socioambientales y defensa del territorio
Authors: Moreno-Freites Zahira , Silva-Guerra Harold
Published: February 2025

Este artículo ofrece una mirada reflexiva a la política pública de ordenamiento territorial en Puerto Colombia centrándose en el análisis de su implementación en el urbanismo de ‘Ciudad Mallorquín’, el cual implica perspectivas de riesgo territorial y socioambiental. Para alcanzar este propósito, es crucial examinar tanto el proceso de debate y negociación entre los actores involucrados como los posibles efectos territoriales y ambientales del desarrollo urbano, a partir del enfoque de la complejidad, del caos y del extractivismo capitalista. La metodología utilizada en este estudio, se fundamenta en el método hermenéutico y herramientas discursivas a través de la técnica del análisis de contenido, proveniente de las declaraciones de los representantes del grupo promotor del proyecto habitacional en su presentación, las políticas públicas de ordenamiento territorial que interviene en este proceso y la opinión pública evidenciada en noticias de la prensa local que revelan los discursos elaborados en relación con este desarrollo urbanístico. Los resultados y discusión se desarrollaron entre un paralelismo que involucra las tres fuentes de información, sobre las categorías de análisis: Gestión ambiental, Desarrollo económico y social, infraestructura y transporte, gestión del riesgo y cambio climático, y la densidad de población; evidenciando en todo aspecto las restricciones de la planificación urbana para abordar la complejidad de los fenómenos urbanos. Finalmente, se hace un aporte significativo en la identificación de los principales desafíos y oportunidades que enfrenta Puerto Colombia en términos de ordenamiento territorial, lo cual permite expresar sugerencias para el mejoramiento de la implementación de políticas públicas respectivas.
Federal clinical guidelines on diagnosis and treatment of hypersensitivity pneumonitis
Authors: Avdeev S. N. , Aisanov Z. R. , Vizel A. A. , Demko I. V. , Ilkovich M. M. , Kiniaikin M. F. , Leshсhenko I. V. , Orlova G. P. , Samsonova M. V. , Titova O. N. , Trushenko N. V. , Trofimenko I. N. , Tyurin I. E. , Fedotov V. D. , Chernyaev A. L. , Chernyak B. A. , Chikina S. Yu. , Shmelev E. I.
Published: February 2025

Hypersensitivity pneumonitis (HP) is an inflammatory and/or fibrotic lung disease that occurs in response to repeated inhalation of broad-spectrum aerosol antigens. The prevalence of HP ranges from 0.3 to 0.9 cases per 100,000 population. The basis treatment of HP therapy includes glucocorticoids, immunosuppressants, and antifibrotic drugs. The target audience of these clinical recommendations are general practitioners, pulmonologists, pathologists, radiologists, and medical rehabilitation specialists. Methods. Each thesis-recommendation for diagnostic and therapeutic measures is evaluated on a scale of evidence reliability from 1 to 5 and a scale of the recommendation persuasiveness with the categories A, B, C. The guidelines also contain comments and explanations to these thesis-recommendations, algorithms for the diagnosis and treatment of idiopathic pulmonary fibrosis, and reference materials. Conclusion. The presented clinical guidelines cover current information about the etiology and pathogenesis, clinical manifestations, diagnosis, and treatment of hypersensitivity pneumonitis. These guidelines were approved by the Scientific and Practical Council of the Ministry of Health of the Russian Federation in 2023.
O memorial biográfico como dispositivo de formação e reflexão das experiências de estudantes da pós-graduação
Authors: Silva Júnior Dilmar Rodrigues da , Lima Maria Divina Ferreira , Quarto Renato César de Carvalho
Published: February 2025

Os memoriais biográficos ou memoriais de formação são dispositivos de reflexão que retratam por meio de narrativa escrita a história individual ou coletiva em determinantes temporais à existência da vida do ser humano. Este artigo de natureza qualitativa produzido com base na pesquisa narrativa autobiográfica, foi desenvolvido a partir do dispositivo dos memoriais de formação do Programa de Pós-Graduação em Educação/PPGEd, da Universidade Federal do Piauí- UFPI, a partir dos entrecruzamentos das histórias de vida, formação e prática profissional dos alunos da Pós-Graduação, concatenando com os encontros da pesquisa científica a partir da disciplina de Teorias Educacionais. O artigo tem por objetivo: compreender a dimensão reflexiva sobre os Memoriais biográficos no processo de Formação e construção de conhecimentos dos alunos do curso de Mestrado em Educação, do PPGEd/UFPI à luz das experiências constituídas na Pós-Graduação. Como resultados, vale ressaltar a escrita de um memorial leva o narrador ao conhecimento de si, rememorando por meio da reflexão sobre os caminhos percorridos durante sua vida pessoal e profissional, bem como os elementos que contribuíram para o processo de (re)construção pessoal de seus autores.
DETERMINANT FACTORS FOR CENTRAL LINE-ASSOCIATED BLOOD STREAM INFECTIONS (CLABSI) IN NEONATES
Authors: Nihar Mahdiyyah Husna , Martini Santi , Husada Dominicus
Published: February 2025

Background: CLABSI accounts for 70% of all hospitalized bloodstream infections, especially in premature infants. CLABSI in neonates can compromise the immune system and future quality of life. Purpose: This study aims to identify determinant factors associated with CLABSI in neonates.  Methods: This research was a scoping review study of three international databases namely Science Direct, PubMed, and ProQuest from January 2021-April 2024. Keyword selection refers to PCC (Populations, Concepts, Categories), with the keywords used "factor" AND "associated" AND "CLABSI" AND ("neonate" OR "newborn") AND "hospital." The selection process is depicted with PRISMA-ScR. Results: A total of 14 articles met the criteria and objectives of the study. The articles obtained        represented   all continents, which were conducted in the Americas (29%), Europe (29%), Asia (29%), and Africa (13%). Risk factors for CLABSI in neonates are grouped into two, namely intrinsic and extrinsic factors. Prevention of CLABSI in neonates can be done by modifying extrinsic factors, namely with proper aseptic technique, supervision, and management strategies. Conclusion: The determinant factors of CLABSI in neonates include intrinsic factors (gestational age of <27 weeks or preterm, comorbidities, being born by cesarean section, low birth weight, being previously treated with antibiotics, and having underlying surgical conditions) and extrinsic factors (the type of catheter, the amount of catheter lumen, long duration of insertion, insertion location at the femoral and internal-jugular access site, parenteral nutrition, and large microbial colonization at the insertion site).
OSHA Injury Data: An Opportunity for Improving Work Injury Prevention
Authors: Michaels David , Wagner Gregory R.
Published: February 2025

Millions of US workers are seriously injured on the job annually. These injuries have a significant and deleterious impact on injured workers, their families, and their communities. The limitations of the historical work injury surveillance systems have constrained research into the distribution and determinants of work injuries and efforts to improve allocation of limited injury prevention resources. Most work injury data sets suffer from significant limitations and fail to include a sizable proportion of work injuries.

In recent years, the Occupational Safety and Health Administration has begun to collect and make available to the public more detailed data on work injuries at thousands of high hazard establishments. These data sets provide the opportunity to greatly improve our work injury surveillance system. Researchers are now using these data to investigate and compare injury risk in industries and high-hazard firms where workers are at increased risk of musculoskeletal disorders. However, these rich data sets are underused.

Maintaining and facilitating access to accurate, current data can contribute to improved prevention of work-related injuries and deaths. ( Am J Public Health. Published online ahead of print February 13, 2025:e1–e8. https://doi.org/10.2105/AJPH.2024.307934 )