bluuebunny/crossref_metadata_2025 huggingface dataset:
Corporeality and patiency: a lexical, grammatical and ethnological study of Arawakan languages
Authors: Durand Tom
Published: January 2025

El objetivo de este artículo es la caracterización de las manifestaciones lexicales y gramaticales de la corporalidad en las lenguas arawak. Consideramos que la noción de corporalidad en estas lenguas es central por la expresión de la persona y de la pacientividad; en otras palabras, un estado o calidad que tiene las características típicas del paciente. Este artículo empieza con una reflexión lexical sobre la cuestión de inalienabilidad de las partes del cuerpo, su nomenclatura –especialmente sobre la creación lexical– y la fuente de las emociones, como la palabra terena  okóvo  "guata" pero también "alma", o el wayuu -a’ain "corazón, alma" o el tariana -kale "corazón, mente, fuerza vital, alma, soplo". Estos ejemplos muestran que el cuerpo es el centro de sensaciones físicas, fisiológicas y hasta psicológicas. Las evidencias de esta afirmación aparecen a través de construcciones específicas para verbos estativos, como la oposición entre marcado del sujeto y marcado del objeto, o la existencia del marcado diferencial del sujeto. Estas diferentes construcciones permiten al hablante expresar especificaciones y sutilidades sobre las sensaciones ya mencionadas.
Repede, Doina. (2022). Corpus oral para el estudio sociolingüístico de hablantes peruanos en la ciudad de Sevilla (PERUSEV)
Authors: Gallucci María José
Published: January 2025

El corpus oral para el estudio sociolingüístico de hablantes peruanos en la ciudad de Sevilla (PERUSEV) constituye un material novedoso para el análisis lingüístico y etnográfico de una comunidad de habla específica en un contexto particular: el de su integración como producto de un proceso de migración a la capital hispalense.
Muñoz-Díaz, Javier; Ibacache, Kathia, and Gómez, Leila. (2024). Indigenous Materials in Libraries and the Curriculum. Latin American and Latinx Sources
Authors: Ojeda Jermani
Published: January 2025

Javier Muñoz-Díaz, Kathia Ibacache, and Leila Gómez—Latinx scholars based at U.S. universities—advocate for genuine decolonization, moving beyond what Tuck and Yang (2012) describe as merely “metaphorical” efforts. They emphasize the importance of integrating and promoting Indigenous literary materials within university libraries and curricula, which are still predominantly shaped by Eurocentric frameworks. Their approach aligns with Aymara scholar Rivera Cusicanqui’s (2012) call for decolonizing practice, which requires collaboration across multiple agents—Indigenous communities, Latinx scholars, librarians, faculty, and Indigenous content producers. This collective effort seeks to challenge how Indigenous peoples are often positioned within academia merely as instructors, informants, or cultural performers, thereby addressing the “geopolitics of knowledge” that maintains unequal power dynamics. They call for political collaboration grounded in the sovereignty and autonomy of Indigenous peoples, advocating for partnerships between Indigenous and non-Indigenous communities (Keme, 2018) to ensure that Indigenous knowledge systems and perspectives shape academic spaces on their own terms.
Howard, Rosaleen. (2023). Multilingualism in the Andes: Policies, Politics, Power
Authors: Dean Joseph
Published: January 2025

Rosaleen Howard es profesora emérita (catedrática de Estudios Hispánicos) en la Escuela de Lenguas Modernas de la Universidad de Newcastle (Reino Unido) y fue profesora titular en el Instituto de Estudios Latinoamericanos de la Universidad de Liverpool (Reino Unido). Se desenvuelve en los campos de la sociolingüística crítica latinoamericana, la antropología lingüística y la lingüística antropológica. Sus investigaciones tratan sobre temas variados como las lenguas quechuas, la narración quechua y la historia oral, las lenguas indígenas y las políticas educativas, la legislación sobre derechos lingüísticos y las ideologías lingüísticas. Howard ha desarrollado trabajos acerca de las tensiones que existen entre el lenguaje, la identidad y el poder en Ecuador, Perú y Bolivia, países donde ha realizado una investigación etnográfica crítica durante varias décadas, lo que condujo a la producción de notables publicaciones y contribuciones (Howard-Malverde, 1997; Howard, 2007, 2009; Howard y Stobart, 2002).
Identification of urinary metabolites correlated with tacrolimus levels through high-precision liquid chromatography-mass spectrometry and machine learning algorithms in kidney transplant patients
Authors: Burghelea Dan , Moisoiu Tudor , Ivan Cristina , Elec Alina , Munteanu Adriana , Tabrea Raluca , Antal Oana , Kacso Teodor Paul , Socaciu Carmen , Elec Florin Ioan , Kacso Ina Maria
Published: January 2025

Background and aim. Tacrolimus, a widely used immunosuppressive drug in kidney transplant recipients, exhibits a narrow therapeutic window necessitating careful monitoring of its concentration to balance efficacy and minimize dose-related toxic effects. Although essential, this approach is not optimal, and tacrolinemia, even in the therapeutic interval, might be associated with toxicity and rejection within range. This study aimed to identify specific urinary metabolites associated with tacrolimus levels in kidney transplant patients using a combination of serum high-precision liquid chromatography-mass spectrometry (HPLC-MS) and machine learning algorithms.
Methods. A cohort of 42 kidney transplant patients, comprising 19 individuals with high tacrolimus levels (>8 ng/mL) and 23 individuals with low tacrolimus levels (<5 ng/mL), were included in the analysis. Urinary samples were subjected to HPLC-MS analysis, enabling comprehensive metabolite profiling across the study cohort. Additionally, tacrolimus concentrations were quantified using established clinical assays.
Results. Through an extensive analysis of the HPLC-MS data, a panel of five metabolites were identified that exhibited a significant correlation with tacrolimus levels (Valeryl carnitine, Glycyl-tyrosine, Adrenosterone, LPC 18:3 and 6-methylprednisolone). Machine learning algorithms were then employed to develop a predictive model utilizing the identified metabolites as features. The logistic regression model achieved an area under the curve of 0.810, indicating good discriminatory power and classification accuracy of 0.690.
Conclusions. This study demonstrates the potential of integrating HPLC-MS metabolomics with machine learning algorithms to identify urinary metabolites associated with tacrolimus levels. The identified metabolites are promising biomarkers for monitoring tacrolimus therapy, aiding in dose optimization and personalized treatment approaches.
Umbilical cord blood collection through elective cesarean section in an ovine model – a pilot study
Authors: Al Hussein Hamida , Harpa Marius Mihai , Suciu Horatiu , Simionescu Dan , Puscas Alexandra Iulia , Al Hussein Hussam , Brinzaniuc Klara
Published: January 2025

Background. Despite advancements in congenital heart surgery, long-term outcomes remain challenging, with many patients developing heart failure and requiring transplants at a young age. Stem cell therapy, particularly using umbilical cord-derived mesenchymal stem cells, is emerging as a promising adjunct treatment. Adult studies suggest functional improvements, but pediatric research remains sparse. This pilot study aimed to establish surgical and anesthetic protocols for elective cesarean section in an ovine model to enable umbilical cord blood collection.
Methods. Three pregnant sheep aged 2–6 years and weighing 40–45 kg underwent elective cesarean section. Gestational age was confirmed using ultrasound and clinical signs. Preoperative preparation involved fasting, dexamethasone administration to prevent respiratory distress, and shaving surgical sites. Local anesthesia and mild sedation (medetomidine) minimized fetal exposure to anesthetics. Two umbilical cord blood collection methods were tested: active aspiration and gravitational collection.
Results. We established efficient anesthetic and surgical protocols for elective cesarean section and described a safe and easy method for umbilical cord blood collection with minimal risk. Elective cesarean section ensures a sterile environment, crucial for stem cell isolation. Local anesthesia with mild sedation proved safe and provided proper comfort for animals and operators. Accurate gestational estimation and effective postnatal care were critical.
Conclusions. This study provides a reliable protocol for elective cesarean section and umbilical cord blood collection in an ovine model, offering a valuable foundation for research in stem cell therapy. However, larger sample sizes are needed to validate these methods and enhance their applicability in translational research.
Financial Inclusion in Sub-Saharan Africa: The Case of Mobile Money
Authors: Kemgou Voptia Etian Boress , Stukalina Yulia
Published: January 2025

Financial inclusion is a mechanism that provide accessibility and application of formal financial system at an affordable cost. Mobile money as a financial service allows value to be exchanged and stored in mobile money accounts as this facilitates economic development, expand investment opportunities, increase consumer spending, encourage entrepreneurship, and boost economic growth. Mobile money appears to be a good solution for accelerating financial inclusion.Research objective: This research aims to assess how mobile money can improve financial inclusion in Sub-Saharan Africa.Design/Methodology/Approach: This study utilizes secondary data from international organizations, specifically the IMF Financial Access Survey (FAS) and World Development Indicators by the World Bank. The sample consists of 17 Sub-Saharan African countries from 2010 to 2021. Financial inclusion is measured using an index developed, with data sourced from the FAS (2019) database, while mobile money usage data is also derived from the same database. To evaluate the impact of mobile money on financial inclusion, a dynamic panel model is utilized, estimated using the systemic generalized method of moments (Sys-GMM), drawing on methodology’s framework for robust estimation.Results: The results confirm the central hypothesis, according to which the use of mobile money improves financial inclusion in Sub-Saharan Africa. It is therefore up to States and mobile network operators to intensify the use of mobile money. This intensification would be possible thanks to the development of mobile money, the regulation and security of mobile money services.Originality / Value / Practical implications: This research contributes novel insights into the role of mobile money as a transformative tool for financial inclusion in Sub-Saharan Africa. It distinguishes between registered and active mobile money accounts, assessing their effectiveness in facilitating access to traditional banking services such as loans, bill payments, savings, and overdrafts. By understanding user behaviors and engagement, this study provides a nuanced perspective on the impact of mobile money on the financial landscape of the regionImplication: The results enable the formulation of strategic recommendations for policy-makers aimed at advancing economic policies that foster the growth and utilization of mobile money services. These policies may include fostering partnerships between governments and mobile operators, enhancing digital literacy programs for users, and implementing regulatory frameworks that protect user interests while promoting innovation within the mobile money sector.
Environmental Issues in Global Pediatric Health: Technical Report
Authors: Zajac Lauren , Landrigan Philip J. ,   and the COUNCIL ON ENVIRONMENTAL HEALTH AND CLIMATE CHANGE, Zajac Lauren , Balk Sophie J. , Byron Lori G. , Maria Huerta-Montañez Gredia , Landrigan Philip J. , Marcus Steven M. , Nerlinger Abby L. , Patel Lisa H. , Philipsborn Rebecca , Woolf Alan D.
Published: January 2025

Pediatricians and pediatric trainees in North America are increasingly involved in caring for children and adolescents in or from low- and middle-income countries (LMICs). In many LMICs, toxic environmental exposures—notably outdoor and household air pollution, water pollution, lead, hazardous waste disposal, pesticides, and other manufactured chemicals—are highly prevalent and account for twice as great a proportion of disease and deaths among young children as in North America. Climate change will likely worsen these exposures.

It is important that pediatricians and other pediatric health professionals from high-income countries who plan to work in LMICs be aware of the disproportionately severe impacts of environmental hazards, become knowledgeable about the major toxic threats to children’s health in the countries and communities where they will be working, and consider environmental factors in their differential diagnoses. Likewise, pediatricians in high-income countries who care for children and adolescents who have emigrated from LMICs need to be aware that these children may be at elevated risk of diseases caused by past exposures to toxic environmental hazards in their countries of origin as well as ongoing exposures in products such as traditional foods, medications, and cosmetics imported from their original home countries.

Because diseases of toxic environmental origin seldom have unique physical signatures, the environmental screening history, supplemented by laboratory testing, is the principal diagnostic tool. The goal of this technical report is to enhance pediatricians’ ability to recognize, diagnose, and manage disease caused by hazardous environmental exposures, especially toxic chemical exposures, in all countries and especially in LMICs.
Competencias digitales en la formación de profesionales de Orientación en la Universidad de Costa Rica
Authors: Fallas López Vivian , Murillo Aguilar Osvaldo , Sibaja Mojica Pablo Armando
Published: January 2025

El ensayo académico explora el compromiso de la carrera de Ciencias de la Educación con Énfasis en Orientación, de la Universidad de Costa Rica, como ente formador, con el desarrollo de habilidades digitales y competencias tecnológicas en su estudiantado y profesorado a 60 años de su creación. A través de la incorporación de cursos específicos, se busca potenciar el conocimiento en tecnología y herramientas relevantes para el ejercicio profesional en el ámbito de las Ciencias de la Educación. Este cambio responde a los avances tecnológicos y a la necesidad de preparar a futuras personas profesionales para enfrentar los desafíos de una sociedad digitalizada. El desarrollo de estas competencias se analiza en tres etapas. La primera estableció una formación incipiente centrada en habilidades operativas y cognitivas, donde el énfasis estaba en el conocimiento de herramientas específicas; sin embargo, presentó limitaciones en la adaptabilidad de los contenidos a los rápidos cambios tecnológicos. La segunda etapa reconoció la necesidad de fomentar actitudes flexibles y adaptativas en el estudiantado, mediante la investigación y el uso de enfoques metodológicos que integraban la tecnología. La pandemia de COVID-19 aceleró el aprendizaje híbrido y la reflexión sobre la importancia de las habilidades digitales desde una perspectiva crítica y reflexiva, que encaminó la tercera etapa; esta enfatiza la urgencia de abordar el uso ético de la tecnología y la responsabilidad en el autoaprendizaje. El ensayo concluye que la carrera de Ciencias de la Educación con Énfasis en Orientación se compromete a revisar y evolucionar su plan de estudios para fortalecer el desarrollo de competencias digitales en un contexto tecnológico en constante cambio, preparando a las personas estudiantes para los retos laborales, actuales y futuros, en temas del uso de la tecnología.
Griechische Pioniere der Medizingeschichte im 19. und 20. Jahrhundert
Authors: Grimm-Stadelmann Isabel
Published: January 2025

Greek pioneers of medical history in the 19th and 20th centuries. The extensive and detailed bibliography dedicated to medical history by Demetrios Ap. Karamperopoulos (Athens 2009) provides an excellent overview of the development of the history of medicine in Greece from 1750 to the present day. Well-known scholars whose research shaped the beginnings of Byzantine studies are represented as pioneers of deep-rooted research in the history of medicine as well as remarkable Greek physicians who not only proved to be authorities of the medical discipline, but likewise were profound historians and philologists. Of particular interest are the manifold and individually distinguished motives of all the eminent scholars, which led them to occupy themselves intensively with ancient, late antique and Byzantine – or generally medieval – primary sources and, moreover, led them to scrutinize the rich and in their time almost completely unexplored manuscript tradition related, to evaluate it in detail and to make it accessible to the scholarly communities of their epochs. Furthermore, noteworthy are the diverse and quite significant thematic emphases, which in turn strikingly reflect contemporary nosological and scholarly focuses. The universe of scholarship unfolded and, at the same time, the scholars' ambition, transcultural networking and pioneering spirit opens up to today's reception a striking reflection of the Byzantine multicultural society, but also of a genuine Byzantine scholarship that includes not only professional doctors but also highly respected amateur physicians (philiatroi). This paper aims to offer a few first insights into this scholarly universe of medical history, which represents the roots of today's success story of the whole discipline of medicine in all its facets, by means of an exemplary selection of some Greek scholars and their pioneering and valuable publications in the field of medical history.
Insight into exciton polaritons of two-dimensional transition metal dichalcogenides with time-resolved spectroscopy
Authors: Policht Veronica R. , Proscia Nicholas V. , Cunningham Paul D.
Published: January 2025

Exciton polaritons (EP) are quasi-particles formed via strong coupling between an exciton and a confined photon mode with tunable hybrid light–matter character. Low-dimensional transition metal dichalcogenides (TMD) are a promising platform for EP phenomena like strongly correlated physics, as well as for realization of tunable optoelectronic applications, at ambient temperatures. However, ultrafast relaxation timescales and the presence of long-lived reservoir states make unambiguous resolution of TMD EP properties, including nonlinearities, very challenging. In this prospective, we review recent progress in understanding TMD EP physics using time-resolved spectroscopies well suited for resolving complex optoelectronic behavior, highlight open questions, and discuss remaining experimental challenges.

Graphical abstract
Application of RSM DoE to optimize the weld penetration depth in automotive seat adjusters
Authors: Tavera-Sainz Jorge G. , Minor-Popocatl Hertwin , Aguilar-Mejía Omar , Miranda-Perez Argelia F.
Published: January 2025

The demands to provide high-quality products force organizations to improve their processes to meet these requirements. In this work, a proposal is defined to analyze and improve a Laser Beam Welding (LBW) process in automotive seat structures using a TRUMPF TruDiode 3006 machine. Through the RSM DoE methodology, the penetration depth in the automotive seat structure is improved from a P
pk level of 0.54 to a P
pk level of 1.50. The factors considered in the welding process are welding speed, laser power, and focal position on the Z-axis. Finally, the stepwise technique is used to optimize the analyzed parameters, going from 5.21% of parts produced out of specifications to 0.00% in the long-term analysis.

Graphical abstract
Assessing the health conditions of residential allotments
Authors: Chaib Aicha , Dib Belkacem
Published: January 2025

This study presents an assessment of the health conditions of residential allotment in El-Eulma city, Algeria, using a case study framework. Its aim is to identify the indicators affecting human physiological comfort in the environment of residential housing. The study was carried out in two phases The first phase was conducted on site, revealing that the residential allotment underwent both horizontal and vertical densification, horizontally, nearly half of the initial plots were subdivided into smaller parcels, vertically, building heights were increased, furthermore, the strictly residential function was transformed into a mixed function, incorporating commercial spaces on most ground floors. The second phase involved a simulation generated by the ArcGis10.4 software assess the health conditions on three levels: the first level included a multicriteria analysis, which made it possible to identify adverse health conditions of the building; the second level involved a shading tool, which allowed to detect the zones with external adverse influence on health conditions, and finally, the third level was the evaluation of affected buildings based on four indicators: division, building height, commercial function, degree of change, with the shading indicator supported by the hierarchical analysis process. Finally, the paper concluded that the method and tools employed to address the issue of health conditions can be regarded as preliminary and diagnostic, specifically dedicated to examining the condition of residential allotment, such as the case study.
The issue of using annual rainfall maps in multi-criteria analysis to identify flood-prone areas
Authors: Tout Faicel , Rebouh Nouh , Dinar Haythem , Zouak Zakaria , Benzid Yacine
Published: January 2025

Interest in flood risk prevention has been growing steadily in recent years, with multi-criteria analysis frequently used to develop prevention plans. One of the common factors included in these analyses is annual rainfall. This study aims to assess the role of annual rainfall in identifying flood-prone areas, using Geographic Information Systems (GIS) to conduct the research in two stages. The first stage involved identifying at-risk areas using factors such as the Topographic Wetness Index, Height Above Nearest Drainage, proximity to watercourses, and drainage density. In the second stage, these results were integrated with annual rainfall maps, applying consistent weights across both stages. The findings suggest that while rainfall is a crucial factor in flood assessment, its inclusion in multi-criteria analysis may inadvertently distort results. This distortion occurs because rainfall distribution is influenced by topography, making it the only variable criterion among otherwise stable basin characteristics. As a result, rainfall data may shift the focus from lower basin areas, which are typically at greater risk but receive less rainfall, to higher basin areas with more rainfall. Furthermore, the study argues that annual rainfall is not a reliable basis for prevention planning, as it fails to accurately represent the characteristics of rain events – such as intensity, duration, and frequency – that are critical in flood studies. The research highlights the need for more appropriate criteria tailored to the specific study area and emphasizes the importance of developing new methods that focus on the impact of rainfall rather than just its distribution.
Levente Hufnagel (ed.), Ecotheology: Sustainability and Religions of the World
Authors: Szoller Ben
Published: January 2025

Levente Hufnagel (ed.), Ecotheology: Sustainability and Religions of the World (London: IntechOpen, 2023), xiv + 374 pp., £139.00 (cloth), ISBN: 978-1-80355-436-5.
Mayfair Yang (ed.), Chinese Environmental Ethics: Religions, Ontologies, and Practices
Authors: Hsu Alexander O
Published: January 2025

Mayfair Yang (ed.), Chinese Environmental Ethics: Religions, Ontologies, and Practices (Boulder, CO: Rowman and Littlefield, 2021), 270 pp., $128 (cloth), ISBN: 978-1-5381-5648-3.
Timothy Morton, Hell: In Search of a Christian Ecology
Authors: Veljkovic Stevan
Published: January 2025

Timothy Morton, Hell: In Search of a Christian Ecology (New York: Columbia University Press, 2024), 310 pp., $26.95 / £22.00 (pbk), ISBN: 978-0-231-21471-1.
Jason M. Brown, Dwelling in the Wilderness: Modern Monks in the American West
Authors: Torvend Samuel
Published: January 2025

Jason M. Brown, Dwelling in the Wilderness: Modern Monks in the American West (SanAntonio: Trinity University Press, 2024), 169 pp., $18.95 (pbk), ISBN:978-1-59534-979-8.
Environmental Turbulence and its impact on Strategy
Authors:   School of Business, Maseno University, Mbabu Morris Mwiti , Abong’o Beatrice ,   School of Business, Maseno University
Published: January 2025

Environmental turbulence refers to unpredictable and dynamic changes in an organization’s external environment, which can significantly impact its strategy, operations, and overall performance. It stems from multiple sources, including technological advancements, economic instability, political upheavals, and social shifts, all of which can challenge an organization’s ability to remain competitive. Organizations experiencing environmental turbulence must continuously adapt, innovate, and restructure their strategies to cope with the rapid pace of change. Historically, environmental turbulence has been present, but its frequency and intensity have increased due to globalization and technological disruptions (Junni et al., 2023). The advent of Industry 4.0 technologies, shifting geopolitical landscapes, and the ongoing COVID-19 pandemic further exemplify the prevalence of such turbulence in today’s world. These factors emphasize the importance of firms’ ability to remain flexible and responsive to external shocks and to maintain sustainable growth through robust strategic planning (Grant & Baden-Fuller, 2023). In turbulent environments, firms must not only react to immediate threats but also develop foresight to anticipate and capitalize on emerging opportunities (Gomes & Engen, 2022). This paper examines the key components of environmental turbulence, its impact on organizational strategy, and how firms can navigate these challenges to achieve long-term success.
Views on Strategy Development for Organizational Success
Authors:   School of Business, Maseno University, Mbabu Morris Mwiti , Abong’o Beatrice ,   School of Business, Maseno University
Published: January 2025

The process of strategy development is integral to organizational success. Over time, views on strategy development have evolved from rigid, top-down approaches to more adaptive, fluid models. In the current business landscape, strategy is no longer about fixed plans but rather about dynamic processes that allow for flexibility and innovation. Scholars such as Mintzberg, Porter, and Barney have contributed to a broad understanding of strategic development, and this paper aims to explore these various perspectives, linking classical theories with contemporary approaches.
Three-Position Vehicle Control Based on Neural Interface Using Machine Learning
Authors: Fradkov Alexander , Babich Nickolay
Published: January 2025

The brain-computer interface is a complex system that allows you to control external electronic devices using brain activity. This system includes several elements – a device for reading brain activity signals, a hardware and software complex that processes and analyzes these signals, and a control object. The main challenge here is the development of methods and algorithms that can correctly recognize and predict the intentions of the person who uses this interface to provide solutions to control problems. This paper describes the mathematical formulation of the equipment control problem. Methods for preprocessing EEG signals, analyzing them, and making decisions about issuing a control signal are described; the structure of the software implementation of these methods is described, as well as a plan for experimental testing of the performance of the entire system that forms the brain-computer interface. For classification of EEG signals the methods of machine learning are used. A modification of the k-nearest neighbors method is proposed – the so-called fuzzy almost nearest neighbors method. An algorithm for the adaptive classification of EEG taking into account the drift of the parameters of the subject's model based on the method of recurrent objective inequalities (ROI) has also been developed. The control algorithm was implemented in the Python programming language. A remote-controlled wheelchair is considered as a control object, and turning the chair to the right or left is considered as a control task. To experimentally test the performance of the developed model and algorithms, more than 15 tests were carried out with five subjects in total. The approach developed and described in this article and its software implementation during testing demonstrated its effectiveness in the tasks of controlling the rotation of a wheelchair. Special attention was also paid to the resource intensity of the software implementation. Methods and algorithms were implemented taking into account the requirements that arise when performing calculations on low-performance devices with a limited amount of memory.
Automatic Generation of Scientific Articles Abstracts Based on Large Language Models
Authors: Golubinskiy Andrey , Tolstykh Andrey , Tolstykh Marina
Published: January 2025

The concept of automation of the process of annotation of scientific materials (Russian-language scientific articles) is proposed and its practical implementation is carried out by means of machine learning technologies, and additional training of large language models. The relevance of correct and rational compilation of annotations is indicated, and the problems related to establishing a balance between the time-consuming process of annotation and ensuring compliance with key requirements for annotation are highlighted. The basics of annotation presented in the family of standards on information, librarianship, and publishing are analyzed, and the classification of annotations and requirements for their content and functionality is given. The essence and content of the annotation process, and the typical structure of the research object are presented schematically. The issue of integration of digital technologies into the annotation process is analyzed, and special attention is paid to the advantages of introducing machine learning and artificial intelligence technology. The digital toolkit used to generate text in natural language processing applications is briefly described. Its shortcomings for solving the problem posed in this scientific article are noted. The research part substantiates the choice of the machine learning model used to solve the problem of conditional text generation. The existing pre-trained large language models are analyzed and, considering the problem statement and existing limitations of computing resources, the ruT5-base model is selected. A description of the dataset is given, including scientific articles from journals included in the list of peer-reviewed scientific publications in which the main scientific results of dissertations for the degrees of candidate and doctor of science should be published. The data labeling technique based on the operation of the tokenizer of the pre-trained large language model is characterized, and the numerical characteristics of the dataset distributions and the parameters of the training pipeline are presented graphically and in tables. The ROUGE quality metric is used to evaluate the model, and the expert assessment method, including grammar and logic as basic criteria, is used to evaluate the results. The quality of automatic annotation generation is comparable to real texts and meets the requirements of information content, structure and compactness. The article may be of interest to an audience of scientists and researchers seeking to optimize their scientific activities in terms of integrating digitalization tools into the process of writing articles, as well as to specialists involved in training large language models.
HEVERL – Viewport Estimation Using Reinforcement Learning for 360-degree Video Streaming
Authors: Hung Nguyen Viet , Dat Pham , Tan Nguyen , Quan Nguyen , Trang Le Thi Huyen , Nam Le
Published: January 2025

360-degree video content has become a pivotal component in virtual reality environments, offering viewers an immersive and engaging experience. However, streaming such comprehensive video content presents significant challenges due to the substantial file sizes and varying network conditions. To address these challenges, view adaptive streaming has emerged as a promising solution, aimed at reducing the burden on network capacity. This technique involves streaming lower-quality video for peripheral views while delivering high-quality content for the specific viewport that the user is actively watching. Essentially, it necessitates accurately predicting the user’s viewing direction and enhancing the quality of that particular segment, underscoring the significance of Viewport Adaptive Streaming (VAS). Our research delves into the application of incremental learning techniques to predict the scores required by the VAS system. By doing so, we aim to optimize the streaming process by ensuring that the most relevant portions of the video are rendered in high quality. Furthermore, our approach is augmented by a thorough analysis of human head and facial movement behaviors. By leveraging these insights, we have developed a reinforcement learning model specifically designed to anticipate user view directions and improve the experience quality in targeted regions. The effectiveness of our proposed method is evidenced by our experimental results, which show significant improvements over existing reference methods. Specifically, our approach enhances the Precision metric by values ranging from 0.011 to 0.022. Additionally, it reduces the Root Mean Square Error (RMSE) by 0.008 to 0.013, the Mean Absolute Error (MAE) by 0.012 to 0.018 and the F1-score by 0.017 to 0.028. Furthermore, we observe an increase in overall accuracy of 2.79 to 16.98. These improvements highlight the potential of our model to significantly enhance the viewing experience in virtual reality environments, making 360-degree video streaming more efficient and user-friendly.
Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field
Authors: Muslimov Tagir
Published: January 2025

In coordinated circular motion of a group of autonomous unmanned aerial vehicles (UAVs or drones), it is important to ensure that collisions between them are avoided. A typical situation occurs when one of the drones in a circular formation needs to overtake the drone ahead. The reason for such an overtake may be due to a given geometry of the UAV formation, when this configuration of a given relative position of the drones has changed for some reason. In this case, the limited maneuverability of UAVs of exactly fixed-wing type requires taking into account the peculiarities of their dynamics in the synthesis of the collision avoidance algorithm. The impossibility of the airspeed for a fixed-wing type UAV to drop below a certain minimum value also plays a role here. In this paper, we propose to use an approach based on vortex vector fields, which are essentially a rotational modification of the artificial potential field (APF) method. In this case, the path following algorithm developed in our previous works provides the circular motion. As a result, a collision avoidance algorithm has been developed that works efficiently by maintaining a coordinated circular motion of the autonomous drone formation without unnecessary turns. The proposed algorithm was named Artificial Potential Field for Circular Motion (abbreviated as APFfCM). Using the direct Lyapunov method, it is shown that the trajectories of the formation system have uniform boundedness (UB) when using the proposed control algorithm. Due to the boundedness of the candidate Lyapunov function, it is guaranteed that no collision event between drones will occur. Thus the control objective of providing coordinated circular motion for an autonomous fixed-wing type drone formation without collisions is achieved. Fixed-wing (“flying wing”) UAV models in MATLAB/Simulink environment demonstrate the effective performance of the proposed algorithm. These models have both full nonlinear dynamics and implementation of tuned autopilots stabilizing angular and trajectory motion.
Corpus of Privacy Policies for Web Services and Internet of Things Devices for Analyzing the Awareness of Personal Data Subjects
Authors: Kuznetsov Mikhail , Novikova Evgenia
Published: January 2025

Information about what personal data is collected and processed by various devices and digital services is presented in privacy policies, however, as studies show, users rarely read them and, as a result, do not realize which data security risks associated with the processing of personal data arise. The solution to the problem of increasing the awareness of personal data subjects is associated with the development of decision support methods that present privacy policies in a form that is easier to understand, for example, in the form of quantitative risk assessments and pictograms. Their development requires a structured and marked-up corpus of documents. This paper systematizes the corpora of privacy policies that are in open access and shows their distinctive characteristics, such as the year of creation, volume and presence of annotations. A description of a new corpus of documents written in Russian is also presented, the results of a structural and semantic analysis of the collected security policies are given, and a comparison with the corpus of privacy policies written in English is made. It has been shown that the description of scenarios for storing, collecting and processing data in documents in Russian accounts for only 25% of the volume of the document text, which may indicate a lack of details about what types of data are collected, what mechanisms are used for collection, and what are the storage periods, which affects the “transparency” of the use of personal data.
Инструменты монетизации для СМИ, блогеров и медиаперсон в Армении, Грузии, Молдове и Украине
Authors:   Fojo Media Institute, Fojo Media Insight
Published: January 2025

In the rapidly evolving digital landscape, media outlets, bloggers, and other content creators are continually searching for effective and reliable payment systems and monetisation tools to support their efforts in producing and distributing content.
With traditional revenue sources dwindling – largely due to advertising income being diverted to dominant platforms like Facebook and Google – alternative tools and methods for generating income from content production and distribution have emerged and continue to evolve.
This study explores a variety of monetisation tools and payment systems, including GoFundMe, Kickstarter, Patreon, Buy Me a Coffee, and others available in Armenia, Georgia, Moldova, and Ukraine. It examines their features, advantages, limitations and provides examples of their practical application.
Pensamiento crítico en alumnos barranquilleros de educación media
Authors: Nieto Mendoza Isaac Clemente , Cárdenas Cárdenas Luis Manuel , Cárdenas Ortiz Luis Carlos , Montero Rivas Jean Carlos
Published: January 2025

El pensamiento crítico es una de las competencias vitales para la comprensión, interpretación y presentación de postura ante la lectura de un determinado texto. De esta manera, su profundización en el área de español es de suma importancia sirviendo estas para el afrontamiento de las pruebas de Estado que miden el conocimiento de los estudiantes, además de su capacidad crítica y de comprensión. Por tal motivo, esta investigación se planteó como objetivo, conocer los niveles de pensamiento crítico de alumnos en educación media barranquilleros, teniendo en cuenta sus capacidades, las maneras de abordaje para el fortalecimiento de esta habilidad sugeridas por la institución en documentos oficiales y el testimonio docente. De esta manera, desde un estudio cualitativo, etnográfico y descriptivo, se evidenció que los estudiantes presentan niveles bajos en las competencias que integran el pensamiento crítico, dándose además un incumplimiento por parte de los docentes de los lineamientos establecidos en los documentos institucionales para el fortalecimiento de las habilidades de comprensión y postura crítica tras la lectura de textos. Se sugiere, en especial en el transcurrir de la pandemia, proponer alternativas para contribuir al fortalecimiento de habilidades la asignatura español.
Raúl Gómez Jattin: el destino de la vejez y la degradación del ser poético
Authors: Churio Villalba Katerinne
Published: January 2025

En este artículo, titulado Raúl Gómez Jattin: el destino de la vejez y la degradación del ser poético, se analiza cómo el poeta cereteano integra en sus versos la concepción de la vejez a través del tiempo y, en un segundo momento, interpreta la degradación del ser poético a partir de la devaluación de su destino. Me aproximaré al universo lírico del autor desde las teorías de Terry Eagleton (1983) el lenguaje como coexistente a la vida humana y Helena Beristáin (1989) la actitud enunciativa de la voz poética. La antología poética Amanecer en el Valle del Sinú[1], que recoge gran parte de su obra poética, hace perceptible la voracidad de Gómez Jattin para deslumbrar las pasiones, la memoria, la identidad y la deconstrucción del sujeto lírico.  Raúl Gómez Jattin retrata en su poesía las fragmentaciones del hombre, producto de las contrariedades de su existencia. Un ser humano que ha sido reducido a la abnegación y a la limitación absoluta sin derecho a elegir su destino.
 
[1] Para este artículo utilizo la edición Amanecer en el Valle del Sinú. Antología poética (2004) del Fondo de Cultura Económica. Este volumen contiene los poemarios Retratos, Retratos II, Amanecer en el Valle del Sinú, Del amor, Hijos del tiempo, Esplendor de la mariposa y El libro de la locura. De aquí selecciono el corpus de estudio que hace parte de esta propuesta crítica.
 
 
r en el Valle del Sinú. Antología poética (2004) del Fondo de Cultura Económica. Este volumen contiene los poemarios Retratos, Retratos II, Amanecer en el Valle del Sinú, Del amor, Hijos del tiempo, Esplendor de la mariposa y El libro de la locura. De aquí selecciono el corpus de estudio que hace parte de esta propuesta crítica.
Estrategias Neurodidácticas para Fortalecer el Proceso de Aprendizaje en Niños Escolarizados con Discapacidad Intelectual
Authors: Anaya Bertel Mayolis , Santiago Llorente Delia Esther , Serrano Ramírez Marleyn Margarita
Published: January 2025

Los estudiantes con discapacidad intelectual presentan una serie de dificultades académicas y adaptativas en su proceso de aprendizaje, que no les permiten desenvolverse dentro del contexto escolar. Por ello el objetivo principal de esta investigación es fortalecer los procesos de aprendizaje de estudiantes escolarizados con Discapacidad Intelectual, a través de estrategias neurodidácticas. Esta investigación se consigna bajo los parámetros del paradigma empírico analítico, siendo una investigación descriptiva, realizada con una muestra de 8 estudiantes, con un rango de edad entre 8 y 13 años en condición de discapacidad intelectual de la Institución Educativa N°5 Eustorgio Salgar de Puerto Colombia, Atlántico. Las técnicas e instrumentos que se utilizaron fueron, entrevista estructurada, realizada bajo los criterios de Discapacidad Intelectual, Aprendizaje y Abordaje Pedagógico y Didáctico; observaciones realizadas en los escenarios pedagógicos, la Escala Neuropsicológica Infantil II (ENI II) y la Escala de Comportamiento Adaptativo Vineland 3, con las cuales se caracterizaron los componentes cognitivos y adaptativos.  A través de la aplicación de estos instrumentos obtuvimos el constructo del perfil cognitivo, es decir el reconocimiento de las habilidades lectoescritoras y aritméticas de cada estudiante, además de las características del ambiente de aprendizaje y el conjunto de estrategias didácticas para esta población.
STUDY OF QUALITY AND SENSORY CHARACTERISTICS OF ALCOHOLIC PEAR SLICES
Authors: Ghimire Himalaya , Rai Basanta Kumar , Rai Kishor , Dahal Ramila , Sherma Girija , Giri Saru , Chaudhary Sanjay , Acharya Priti
Published: January 2025

Pear fruit (Pyrus pyrifolia) is known for its distinctive chemical composition, making it a promising substrate for wine fermentation. However, a significant challenge in the fermentation process is the wastage of pear slices once fermentation is complete. Therefore, this study aimed to address this issue by optimizing the process of producing alcoholic pear slices, analyzing fermentation kinetics, and refining the product through sensory evaluation. The research involved fermenting locally sourced Pyrus pyrifolia for different durations: A (0 days), B (2 days), C (4 days), D (6 days), E (8 days), F (10 days), G (12 days), H (14 days), I (16 days), and J (18 days). The fermented pear slices were then assessed and optimized based on key sensory attributes such as color, taste, texture, and overall acceptance. Additionally, the slices were stored at different sugar concentrations (X = 15ºBx, Y = 20ºBx, and Z = 20ºBx) to evaluate the impact of sugar levels on their sensory properties. Sensory evaluations identified sample E, fermented for 8 days, and sample Y, with a sugar concentration of 20ºBx, as the most preferred. The findings revealed that extended fermentation durations resulted in a decrease in pH and total soluble solids, while acidity and alcohol content increased. Statistical analysis showed a significant (p≤0.05) effect of both fermentation duration and sugar concentration on the sensory qualities of the alcoholic pear slices. The study concludes that controlled fermentation, coupled with the right sugar concentration, can significantly enhance the quality of alcoholic pear slices, providing a valuable use for byproducts in pear wine production. This novel product offers the combined benefits of alcohol content and fruit flavor, making it a unique addition to the market.
FOOD THERAPY AND EDUCATION NEXUS AGRONOMIC FRAMEWORK. EVIDENCE FROM MOUNTAIN BERRIES
Authors: Brejea R. , Covaci M. , Covaci B. , Selma C.
Published: January 2025

Background: Berries from mountainous regions, essential members of the Plantae kingdom, play a vital role in the present health and medical context during the ongoing pandemic, particularly in establishing the framework for natural therapy. Researchers have extensively investigated berry-derived extracts to evaluate their potential in inhibiting infectious diseases. The authors delved into specialized literature, formulating agronomic engineering strategies aimed at augmenting the behavior consumption of mountain berries. Methods: In this study, the authors delve into nutritional information, encompassing calories, fats, carbohydrates, fibres, and proteins, comparing values for regular berries (based on USDA values) and mountain berries (derived from their own research). The investigation reveals that mountain berries boast superior nutritional values, emphasizing their potential health benefits over standard berries as per USDA guidelines. Results: Berries sourced from mountainous regions, including Hippophae rhamnoides (sea buckthorn) from the Elaeagnaceae family, Vaccinium vitis-idaea (blueberry) from the Ericaceae family, Ribes uva-crispa (gooseberries), and Ribes nigrum (currants) from the Grossulariaceae family, as well as Aronia melanocarpa (chokeberry), Rubus fruticosus Rosales: Rosaceae (European blackberry), and Rubus idaeus (raspberry) from the Rosaceae family, play a pivotal role in both preventing and combatting various infectious diseases. Conclusion: This manuscript succinctly underscores the significance of specific mountain plants aligning with the attributes of biologically produced products to fortify health-promoting behaviors. The research findings underscore that mountain berries exhibit qualitative values that surpass standard berries, as outlined by the USDA.