bluuebunny/crossref_metadata_2025 huggingface dataset:
Using the Difference of the Inclinations of a Pair of Counter-Orbiting Satellites to Measure the Lense–Thirring Effect
Authors: Iorio Lorenzo
Published: December 2024

Let two test particles A and B, revolving about a spinning primary along ideally identical orbits in opposite directions, be considered. From the general expressions of the precessions of the orbital inclination induced by the post-Newtonian gravitomagnetic and Newtonian quadrupolar fields of the central object, it turns out that the Lense–Thirring inclination rates of A and B are equal and opposite, while the Newtonian ones oblateness are identical, due to the primary’s oblateness. Thus, the differences in the inclination shifts of the two orbiters would allow, in principle, for the classical effects to be cancelled out by enhancing the general relativistic ones. The conditions affecting the orbital configurations that must be satisfied for this to occur and possible observable consequences regarding the Earth are investigated. In particular, a scenario involving two spacecraft in polar orbits, branded POLAr RElativity Satellites (POLARES) and reminiscent of an earlier proposal by Van Patten and Everitt in the mid-1970s, is considered. A comparison with the ongoing experiment with the LAser GEOdynamics Satellite (LAGEOS) and LAser RElativity Satellite (LARES) 2 is made.
The Impact of HIV on B Cell Compartment and Its Implications for COVID-19 Vaccinations in People with HIV
Authors: Wang Lixing , Vulesevic Branka , Vigano MariaLuisa , As’sadiq Alia , Kang Kristina , Fernandez Cristina , Samarani Suzanne , Anis Aslam H. , Ahmad Ali , Costiniuk Cecilia T.
Published: December 2024

HIV causes intense polyclonal activation of B cells, resulting in increased numbers of spontaneously antibody-secreting cells in the circulation and hypergammaglobulinemia. It is accompanied by significant perturbations in various B cell subsets, such as increased frequencies of immature/transitional B cells, activated memory B cells, atypical memory B cells, short-lived plasmablasts and regulatory B cells, as well as by decreased frequencies of resting memory and resting naïve B cells. Furthermore, both memory and antigen-inexperienced naïve B cells show exhausted and immune-senescent phenotypes. HIV also drives the expansion and functional impairment of CD4+ T follicular helper cells, which provide help to B cells, crucial for the generation of germinal center reactions and production of long-lived plasma and memory B cells. By suppressing viral replication, anti-retroviral therapy reverses the virus-induced perturbations and functional defects, albeit inadequately. Due to HIV’s lingering impact on B cells, immune senescence and residual chronic inflammation, people with HIV (PWH), especially immune non-responders, are immunocompromised and mount suboptimal antibody responses to vaccination for SARS-CoV-2. Here, we review how functionally and phenotypically distinct B cell subsets are induced in response to a vaccine and an infection and how HIV infection and anti-retroviral therapy (ART) impact them. We also review the role played by HIV-induced defects and perturbations in B cells in the induction of humoral immune responses to currently used anti-SARS-CoV-2 vaccines in PWH on ART. We also outline different strategies that could potentially enhance the vaccine-induced antibody responses in PWH. The review will provide guidance and impetus for further research to improve the immunogenicity of these vaccines in this human population.
Breaking Uncertainty Barriers: Approximate Bayesian Computation Advances in Rainfall–Runoff Modeling
Authors: Andraos Cynthia
Published: December 2024

Hydrological modeling plays a crucial role in water resource management, flood prediction, and environmental planning, with widespread usage in predicting the behavior of catchment systems. However, these models often face significant uncertainties, particularly in parameter estimation, due to limited data and incomplete understanding of natural processes. This study addresses these challenges by applying Approximate Bayesian Computation (ABC) to the MEDOR (“Méditerranée Orientale”) rainfall–runoff conceptual model applied to the Nahr Ibrahim watershed in Lebanon. The ABC method, which avoids the need for a formal likelihood function, reduces uncertainty and improves the accuracy of predictions. Results demonstrate enhanced model performance, with improved correlation and reduced errors compared to traditional calibration methods. This approach underscores the potential of ABC as a robust tool for reducing uncertainties in hydrological modeling.
Neuropsychological analysis of problem use of digital technologies in adolescents. message 1 — selective psychoemotional assessment of IAPS images and event-related potentials
Authors:   Bashkir State Medical University, Federal State Institution «Russian Center for Eye and Plastic Surgery», Ahmadeev R. R. , Muhamadeev T. R. ,   Bashkir State Medical University, Timerbulatova M. F. ,   Bashkir State Medical University, The Republican Clinical Psychotherapeutic Center, Juldashev V. L. ,   Bashkir State Medical University, Timerbulatov I. F. ,   Russian Medical Academy of Continuous Professional Education, N.A. Semashko Scientific and Educational Institute of Clinical Medicine, Federal State Budget Institution of Higer Vocational Education The Russian University of Medcine, F.A. Usoltsev Clinical Psychiatric Hospital, Moskow region
Published: December 2024

The article presents the results of a neuropsychological study of a relevant problem — internet-addicted
behaviour in adolescents. In 2 experimental-psychological series of the work, selective psychoemotional
assessment of visual stimuli of the international IAPS system and its relationship with significant changes in the event-related electroencephalogram (ERP-EEG) relative to the background in adolescents with varying degrees of internet addiction (IA) (n = 96, including 76 girls, average age 16.04±0.08 years) were studied. In the general population of all subjects, the minimum score (3.28±0.05 points) was given to visual stimuli of negative valence, the maximum score (4.90±0.07 points) was given to positive valence, visual stimuli of neutral valence
and images of devices amounted to 4.11±0.03 and 4.06±0.04 points, respectively, but no significant intergroup differences were found here. Further, adolescents without signs of Internet-addicted behaviour gave a lower score for emotionally negative IAPS stimuli relative to device images. Adolescents with problematic use of digital technologies — signs of Internet-addicted behaviour — showed a more variegated score for positive and
negative IAPS images relative to device illustrations with a combination of both positive and negative scores.
The greatest number of significant differences for IAPS images of both positive and negative valence was found
in adolescents at the stage of IA formation. Comparison of selective psycho-emotional assessment of visual
stimuli with significant changes in ERP-EEG revealed the highest percentage (92.7 %) of coincidences for neutral emotional stimuli, the lowest (25.4 %) for images of devices. Thus, adolescents with varying severity of problematic use of digital technologies showed different types of responses to emotionally significant visual stimuli.
The study is considered from the standpoint of Richard Davis on generalized and specific factors of IA and their pathogenetic mechanisms L. O. Perejogin.
Forecasting the Import and Export Values in Turkish Livestock Sector with ATA Analysis
Authors: Küçükoflaz Mehmet , Aydın Erol , Zaman Can İsmail , Sarıözkan Savaş , Ayyıldız Akın Merve , Taylan Selamlar Hanife , Demir Seyrani
Published: December 2024

Unlike traditional time-series methods, the ATA analysis method developed in recent years dynamically adjusts the smoothing parameters according to the sample size. In this study, it was aimed to estimate the export and import values of live animal and livestock products for the next five years (2024-2028) using the ATA method, which is one of the time series analyses, by using the previous years’ (2014-2023) values of Türkiye. The study material consisted of export and import values (in dollars) of the "live animals,” "meat/meat products", "milk/milk products+eggs" and "fish and other seafood" categories in Türkiye between 2014 and 2023. The study data were obtained from the records of the Turkish Statistical Institute according to the aforementioned categories in four annual quarters (1st quarter: January, February, March, 2nd quarter: April, May, June, 3rd quarter: July, August, and September, 4th quarter: October, November, December) are presented. ATA method, which is a simple, highly accurate, and automatic forecasting method, was used for data modeling. According to the study findings, it was estimated that the import values of "live animals", "meat/meat products", "milk/milk products+eggs" and "fish and other seafood" may be a total of $1.3 billion, $171 million, $156 million and $299 million, respectively, whereas the export value of the same products may reach $113 million, $1.2 billion, $866 million and $2 billion, respectively in 2028. In conclusion, the ATA analysis method can be used to reveal a perspective in the coming years in terms of foreign trade in the livestock sector, but it should be updated constantly. It has been concluded that such studies can guide policymakers in the country in developing necessary strategies in foreign trade for the future.
Visita domiciliar na formação de médicos: percepção dos estudantes
Authors: Souza Ângela Victor de , Brito Maria Isadora Moura de Carvalho , Paixão Nicolli Alves , Serrati Victória Oliveira , Vasconcelos Ana Carolina Sobota
Published: December 2024

Por se tratar de uma pesquisa que tem como intenção identificar como as visitas domiciliares (VD) ajudam na formação dos profissionais médicos, observa-se que a promoção da saúde tem como finalidade o desenvolvimento de ações e práticas na Estratégia Saúde da Família. As execuções destas ações são analisadas constantemente pelas VD, cujo foco é reduzir os determinantes do processo saúde-doença. Por outro lado, é notório que ainda há poucas pesquisas sobre essa temática, e este trabalho pode contribuir para fomentar nos pesquisadores o anseio de investir tempo e conhecimento no estudo dessa problemática. Objetiva-se revisar, com base nas evidências científicas, a percepção de estudantes de medicina que realizaram VD durante o curso médico, como ferramenta de aprendizagem. Para tanto, procede-se à revisão integrativa de literatura. Os critérios de inclusão foram artigos que abordam a percepção de estudantes de medicina que realizaram VD durante a graduação e outras informações específicas correlacionadas ao assunto; artigos publicados no período de 2019 a 2024; artigos em inglês e português disponíveis eletronicamente. Desse modo, observa-se que as VD, os rastreios de perto e a construção dos vínculos afetivos e de confiança entre os profissionais de saúde e pacientes é um meio de promover um atendimento mais humanizado e menos mecânico às famílias e aos pacientes, o que permite concluir que a implementação das VD ao longo do curso de Medicina é fundamental para a obtenção de uma visão holística e atendimento humanizado dos usuários do SUS.
Avaliação de fatores de risco da Síndrome da Apneia Obstrutiva do Sono (SAOS) na população de Araraquara
Authors: Semensato Camila Marin , Chiode Caroline Bergamaschi , Corrêa Ludmyla Milani , Hernandes Raíssa Braz , Paro Vitória Stefani , Rodrigues Marcos Marques
Published: December 2024

Introdução: A Síndrome da apneia obstrutiva do sono (SAOS) é caracterizada pela oclusão momentânea e cíclica das vias aéreas superiores, acarretando eventos de hipopneia ou apneia. O trabalho se fundamenta na associação da SAOS na população de Araraquara com o sexo e comorbidades, Diabetes Mellitus (DM), Hipertensão Arterial Sistêmica (HAS), Dislipidemia e Obesidade, que constitui grande relevância e preocupação da saúde pública. Objetivos: O trabalho visa avaliar os fatores de risco da população estudada relacionada ao desenvolvimento de graus mais severos da SAOS. Materiais e Métodos: Esta pesquisa tem metodologia do tipo transversal observacional descritivo. Foram analisados 179 prontuários de pacientes diagnosticados com SAOS, focando nos fatores de riscos para o surgimento da síndrome. Após a análise, foi feita uma estruturação dos dados visando a associação das comorbidades com a SAOS. Resultados: Foi notório a prevalência de pacientes com SAOS e fatores de risco associados (91,70%) em relação aos que não possuem fatores de risco (8,42%). Constatou-se maior incidência do sexo masculino (53,1%), HAS (39,10%), obesidade grau 1 (36,90%), e sobrepeso (36,90%), e a menor ocorrência de dislipidemia (32,40%) e DM (13,40%). Discussão: Os fatores de risco apontados seguem o padrão encontrado na literatura nacional e internacional, apresentando apenas pontuais divergências de resultado, como no caso da obesidade e dislipidemia. Conclusão: Os resultados demonstram que os fatores de risco estão relacionados ao desenvolvimento e gravidade da SAOS nos indivíduos avaliados através da relação de causalidade entre sexo, HAS, DM, Índice de Massa Corpórea (IMC) e dislipidemia com a SAOS
Ayahuasca, etnofarmacologia e usos no tratamento do transtorno de ansiedade: uma revisão sistemática
Authors: Rincon Francielly Neves , Gondim Rhaiana De Fatima Vidal , Peixoto Josana de Castro
Published: December 2024

A ansiedade tem sido um dos principais probelmas de saúde mental na atualidade. Os transtornos de ansiedade afetam milhões de pessoas e que os tratamentos convencionais apresentam limitações, como efeitos colaterais e potenciais de dependência, este estudo busca explorar o potencial terapêutico da ayahuasca no tratamento de transtornos de ansiedade. O objetivo do estudo foi analisar e discutir o potencial terapêutico da ayahuasca no tratamento do transtorno de ansiedade. Utilizou-se de uma revisão da literatura, com foco de revisão sistemática, que incluiu estudos clínicos, revisões sistemáticas e estudos observacionais sobre os efeitos ansiolíticos e antidepressivos da ayahuasca. Observou-se que, sob condições controladas, a ayahuasca promoveu redução expressiva dos sintomas de ansiedade e depressão em grande parte dos participantes, embora com relatos pontuais de efeitos adversos, como náuseas e, em casos raros, episódios psicóticos. Esses achados sugerem que, com o devido acompanhamento, a ayahuasca pode ser uma alternativa terapêutica promissora para a saúde mental, o que permite concluir que seu uso em contextos clínicos deve ser cuidadosamente monitorado para maximizar benefícios e minimizar riscos.
Advancing Corporate Social Responsibility in AI-driven Human Resources Management: A Maturity Model Approach
Authors: Bubicz Marta , Ferasso Marcos
Published: December 2024

Artificial Intelligence (AI) in the corporate environment has been the subject of several current social debates of many scientific studies in reshaping human resource management (HRM) practices. There is a significant research gap in understanding how artificial intelligence (AI) can be ethically and effectively integrated into human resources management (HRM), particularly in relation to corporate social responsibility (CSR). This study aims to address this gap by proposing a maturity model to assess and guide the responsible implementation of AI in HRM practices. The research goal focuses on how AI can be aligned with CSR principles to ensure ethical, transparent, and socially responsible usage in organizational settings. The methodology includes a comprehensive review of 52 academic papers, employing bibliometrics, network analysis, and thematic content analysis to explore the interplay between AI, CSR, and HRM. These analyses allowed the identification of key ethical concerns and challenges in AI-driven HRM practices, such as bias in AI algorithms, data privacy issues, transparency, and the need for technical proficiency among HR professionals. The findings reveal a five-level AI maturity model, each stage representing progressive alignment with CSR principles. Organizations at lower maturity levels tend to have ad-hoc AI implementations with minimal CSR focus, while those at higher levels demonstrate full integration of ethical AI practices. Additionally, the study highlights the importance of transparency, accountability, and employee empowerment as critical elements for advancing AI maturity in HRM. This research contributes by offering organizations a practical tool to assess and enhance their AI-driven HRM processes through a CSR lens. It also provides a foundation for future research on strategic policy development, ethical AI governance, and continuous improvement in the integration of AI in HRM. Scholars are encouraged to explore these areas further, particularly in understanding how AI can foster not only organizational efficiency but also social responsibility and ethical standards.
The next generation of AI tools are coming, do we need to better regulate them?
Authors: Aubrey Michael
Published: December 2024

This research investigates the importance for robust regulation and legislation to properly govern the development of ‘Frontier Artificial Intelligence Systems’.  To do this a comparison of approaches of both existing and proposed legislation has been taken which includes from the US, UK and EU. This has involved reading both summations, assessments and opinions from both academic writers and the media and making comparisons with other industry regulations issues such as Social Media.  The key findings of this research highlight the different approaches being taken to the same problem. Legislation that came into force on August the 1st 2024 from the EU takes a safety-first approach, identifying risk levels from ‘unacceptable risk’ that would be prohibited, down to ‘minimal risk’ which would remain unregulated. This is compared to the UK White Paper, which advocated an innovation first approach with a secondary focus on safety.  With the potential risks associated with AI enhanced cyber-attacks and the spread of disinformation across different platforms, this research emphasises the importance of strong regulation in relation to safety and ensuring this happens from the outset in the development of ‘Frontier AI’ and is not an afterthought.
How Is Fake News Spread? An Analysis of the Dissemination Process: Actors, Channels, and Motives
Authors: Iufereva Anastasiia
Published: December 2024

Even though fake news is widely recognized as one of the most serious threats in the post-truth era, there are still some gaps regarding fake news dissemination. To address these gaps, it is necessary to conduct theoretical research revising and analyzing the latest scientific developments on this topic paying attention to social, psychological, and technological contexts in which fake news is constructed and spread. Understanding this process might help to improve the media literacy of users by raising awareness and forming critical attitudes to by-products of the information environment. This article presents a literature review on fake news dissemination based on an analysis of 106 papers extracted from the Web of Science, Scopus, and Google Scholar databases. The author focuses on identifying the main actors who spread fake news. Additionally, a typology is proposed to organize knowledge about the motives behind creating fake news, based on social, psychological, and cognitive factors.
Unveiling the Emotional Landscape of Ukrainian War Narratives using Large Language Models
Authors: Maathuis Clara , Kerkhof Iddo
Published: December 2024

Social media platforms serve as a dynamic environment where narratives, sentiments, and ideologies intermingle, catalysing the amplification and dissemination of ideas and experiences. As the ongoing endurance war in Ukraine represents a significant inflection point in the contemporary geopolitical landscape, revealing the urgency for comprehensive understanding and analysis of the implications and consequences of the activities therein. While traditional media outlets as we as research and practitioner efforts tackle various social, economic, and political dimensions of this conflict, efforts directed to capturing and reflecting on the nuanced thoughts and emotions of Ukrainian people are still incipient in relation to unconventional social media platforms like TikTok and Telegram. To address this gap, this research develops a novel LLMs (Large Language Models)-based modelling solution that captures, structures, and analyses the discourses characterizing the sentiments and emotions of Ukrainian Telegram users. This is done pursuing a Data Science methodological approach focusing on the insights collected in the first year of war, thus between February 24, 2022, up to February 23, 2023. By harnessing the analytical capabilities of LLMs, this research aims to bridge the gap between conventional understanding and the nuances of human sentiments, thereby advancing comprehension of the multifaceted dimensions of the ongoing war in Ukraine.
Unleashing Human Potential: A Framework for Augmenting Co-Creation with Generative AI
Authors: Kabir Mitt
Published: December 2024

This paper redefines the traditional view of automation as a threat to human labor, advocating for human-AI co-creation as a strategic imperative for organizations. We propose a comprehensive six-stage framework for co-creation, emphasizing iterative feedback loops and continuous improvement to integrate generative AI into workflows effectively. Drawing from a multi-disciplinary perspective, we explore critical enablers of successful human-AI collaboration, including user-centered interface design, explainable AI systems, and fostering a culture of trust and experimentation. Real-world case studies, such as AI-enhanced visual design and creative writing, illustrate the transformative potential of co-creation across various sectors. We also propose a multifaceted measurement framework encompassing quantitative metrics (e.g., productivity gains, time-to-market acceleration) and qualitative indicators (e.g., employee well-being, skill development) to assess the impact of co-creation comprehensively. This research offers a strategic roadmap for organizations to embrace generative AI as a tool for collaboration and augmentation, thereby unlocking new levels of creativity, productivity, and employee empowerment.
LLM Supply Chain Provenance: A Blockchain-based Approach
Authors: Singh Shridhar , Vorster Luke
Published: December 2024

The burgeoning size and complexity of Large Language Models (LLMs) introduce significant challenges in ensuring data integrity. The proliferation of "deep fakes" and manipulated information raises concerns about the vulnerability of LLMs to misinformation. Traditional LLM architectures often lack robust mechanisms for tracking the origin and history of training data. This opaqueness can leave LLMs susceptible to manipulation by malicious actors who inject biased or inaccurate data. This research proposes a novel approach integrating Blockchain Technology (BCT) within the LLM data supply chain. With its core principle of a distributed and immutable ledger, BCT offers a compelling solution to address this challenge. By storing the LLM's data supply chain on a blockchain, we establish a verifiable record of data provenance. This allows for tracing the origin of each data point used to train the LLM, fostering greater transparency and trust in the model's outputs. This decentralised approach minimises the risk of single points of failure and manipulation. Additionally, the immutability of blockchain records ensures that the data provenance remains tamper-proof, further enhancing the trustworthiness of the LLM. Our approach leverages three critical features of BCT to strengthen LLM security: 1) Transaction Anonymity: While data provenance is recorded on the blockchain, identities of data contributors can be anonymised, protecting their privacy while ensuring data integrity. 2) Decentralised Repository: Enhances the system's resilience against potential attacks by distributing the data provenance record across the blockchain network. 3) Block Validation: Rigorous consensus mechanisms ensure the validity of each data point added to the LLM's data supply chain - minimising the risk of incorporating inaccurate or manipulated data into the training process. Using the experimental approach, initial evaluations using simulated LLM training data on a blockchain platform demonstrate the feasibility and effectiveness of the proposed approach in enhancing data integrity. This approach has far-reaching implications for ensuring the trustworthiness of LLMs in various applications.
Bridging the Gap: Practical Challenges and Strategic Imperatives in Adopting Gen AI
Authors: Andrea Di Vetta
Published: December 2024

In today's rapidly evolving business landscape, Artificial Intelligence (AI) stands as the proverbial 'elephant in the room,' profoundly shaping diverse sectors and contexts. While debates rage among policymakers, practitioners, and politicians about regulating AI's widespread use, it's undeniable that AI represents a long-awaited digital technology poised to revolutionize organizational performance. Amidst the post-COVID era, the allure of AI has intensified, yet the critical question lingers: Can firms effectively harness AI and other technologies, such as Generative AI and Large Language Models (LLMs), to enhance their existing systems? Through a systematic literature review, a clear correlation between firms’ implementation of AI, including the cutting-edge Generative AI, and their ability to adapt to changing market dynamics, drive operational excellence, and unlock new avenues for growth are explored. Moreover, key drivers of AI and digital adoption, such as the imperative for data-driven decision-making, the quest for customer-centricity, and the drive for sustainable business practices are explored. Our research not only highlights the transformative potential of AI and digital technologies but also provides actionable insights for business leaders navigating the complexities of technology adoption. By understanding the motivations, challenges, and strategic imperatives driving firms' technology choices, including the integration of Generative AI and LLMs, organizations can chart a path towards sustainable growth and competitive advantage in the digital age. This study underscores the revolutionary impact of Generative AI in digital transformation, offering a comprehensive understanding of their role in shaping the future of business.
Poverty Reduction in Africa: A Continental Industrial Policy that Enhances Productive Capability and Creates Permanent Employment to Increase Disposable Income that Fosters Effective Demand in Africa’s Economy
Authors: Gobewole Stephen H.
Published: December 2024

The objective of achieving effective demand for the minimization of poverty in Africa is revealed by economic, governance and survey data collected by The Heritage Foundation’s Index of Economic Freedom, BTI Transformation Index Report, Transparency International’s-Corruption Perception Index, Fund for Peace’s Fragile State Index, The World Bank Data, The End of Poverty (Sachs, 2005), and Poor Economics (Banerjee et. al., 2011). These nongovernmental entities’ reports, and scholarly books explain Africa’s poverty and what makes it perpetual and suggest ideas for minimizing it. This data is used to measure correlation among indicators of rule of law, public corruption, quality of governance, and fragility of states, and to determine trends toward policy enactment while documenting the current level of Africa’s poverty. In addition, this statistical analysis allows the study to show strengths or weaknesses of the international community’s poverty reduction method and the need for its transformation. The lack of substantial reduction in poverty on the continent makes it essential for African governments to automate and industrialize their economies, particularly their agricultural sectors where a majority of Africans work. The data gathered was also used to create charts, graphs, and tables to assist readers to better understand the economic development policy and agricultural industrialization strategy discussed in the study.
Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends
Authors: Noviati Nuraini Diah , Putra Fengki Eka , Sadan Sadan , Ahsanitaqwim Ridhuan , Septiani Nanda , Santoso Nuke Puji Lestari
Published: December 2024

Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.
Нормативное прогнозирование инновационного развития телекоммуникационных технологий и услуг
Authors: Ф.М. Александровский , Ю.В. Деарт
Published: December 2024

Показаны особенности отрасли электросвязи как третичного инфраструктурного сектора экономики. Отмечено, что фундаментальной основой и национальных стратегий развития информационной инфраструктуры, и программ развития сетей электросвязи компаний-операторов являются долгосрочные прогнозы оптимальных темпов внедрения инновационных технологий, продуктов и услуг. Выполнен критический анализ традиционных методов долгосрочного прогнозирования на основе диаграммы Джиппа. Приведены разработанные вербальная, физическая и математическая модели диффузии инноваций. Показан алгоритм построения долгосрочного прогноза оптимальных темпов внедрения инноваций.

The article shows the features of the telecommunications industry as a tertiary infrastructure sector of the economy. It is noted that the fundamental basis of both national strategies for the development of information infrastructure and programs for the development of telecommunications networks of operator companies are longterm forecasts of optimal rates of implementation of innovative technologies, products, and services. A critical analysis of traditional methods of long-term forecasting based on the Jipp diagram is performed. Verbal, physical, and mathematical models of innovation diffusion are presented. An algorithm for constructing a long-term forecast of optimal rates of innovation implementation is shown.
Simulasi Pengendalian Limpasan Permukaan dengan Penerapan Low-Impact Development di Kawasan Perumahan
Authors: Yuono Agus Lestari , Iryani Sakura Yulia , Alia Febrinasti , Al Amin Muhammad Baitullah
Published: December 2024

Applying the Low-Impact Development (LID) approach in urban drainage systems can help control surface runoff, therefore mitigating the potential of flooding risk. However, its effectiveness varies widely, and various technical factors influence its performance. This study aims to determine the effectiveness and performance of LID units, namely bioretention and infiltration wells, in controlling surface runoff. The Center Park Housing area, covering an area of ​​11.53 hectares located in Palembang City, was chosen as the study area. The ability of the LID unit to reduce the volume and discharge of runoff, as well as the runoff coefficient, was simulated using the Storm Water Management Model (SWMM) program based on input from various design rainfall cases. There were four simulated design rainfalls, i.e. 108.76 mm (2-year return period), 133.20 mm (5-year), 149.38 mm (10-year), and 169.82 mm (25-year). The LID unit implementation scenarios were varied with the number of infiltration well units of 1 - 4 units per house plot. The number and area of ​​bioretention units were considered constant for all scenarios. The simulation results show that the LID implementation can reduce runoff volume and peak discharge and help decrease the runoff coefficient in the study area effectively, especially in the case of lower design rainfall (2-year). The performance of the infiltration wells unit in producing runoff losses is better than the bioretention unit because its construction structure has a larger storage capacity for a similar unit area. Although the LID method is quite effective in reducing runoff, its combination with conventional methods may produce better performance, so further research that discusses this needs to be addressed.
Use of epidural anesthesia as preventive method for compartment syndrome development in acute pancreatitis
Authors:   Surgut Regional Clinical Hospital, Surgut, Russia, Онищенко С. В. , Темиргереев Р. Д. ,   Surgut Regional Clinical Hospital, Surgut, Russia
Published: December 2024

Acute pancreatitis is one of the most common diseases. Since 2000, the proportion of acute
pancreatitis among hospitalized patients with acute abdominal diseases has increased from 13.5% to
23.6%, with postoperative mortality reaching 13–15%. The article presents the review of domestic and
foreign literary sources using the Mendeley, eLIBRARY.Ru, CyberLeninka and PubMed databases on
advantages and disadvantages of epidural anesthesia for the prevention and treatment of compartment
syndrome in patients with acute pancreatitis. The search depth is ten years. As a result of the analysis, the following positive effects of epidural anesthesia were revealed: segmental blockade of sympathetic innervation is an effective method of improving the abdominal cavity perfusion and retroperitoneal space, including the pancreas, as well as improving intestinal peristalsis and relieving pain syndrome. Epidural anesthesia helps to reduce intra-abdominal pressure, which has a beneficial effect on respiratory function, reducing pulmonary shunt and improving the respiratory index. The obtained data may form a basis for further research in order to optimize the intensive care of acute pancreatitis.
Correlation of side effects development with used operative technique soon after reduction mammoplasty
Authors:   Republican Scientific Center of Cardiovascular Surgery, Dushanbe, Republic of Tajikistan, Саидов М. С.
Published: December 2024

The aim of the study is to compare the results of reduction mammoplasty in 32 patients aged
20 to 45 years for the period from 2012 to 2023. In Group I (n = 16), we used an inferior pedicle flap with an average breast reduction volume of 2,004.5 ± 212.5 g and a removed tissue weight ranging from 580 to 4,020 g. In Group II (n = 16), we used a superomedial pedicle flap with a reduction volume of 1,824.7 ± 218.6 g and a tissue weight removed ranging from 460 to 3,200 g. The advantages of the superomedial pedicle technique are a shortened surgery time, preservation of vertical volume, a lower tendency to ptosis, efficiency and safety for widespread practice in order to preserve the blood supply to the vascular and areolar zone in patients with excess breast mass. This method is more suitable for mild and moderate hypertrophy, while reduction with the inferior pedicle is more suitable for large and giant sized mammary glands.
Giant-cell tumor of distal epimetaphysis of left femur in 23-year-old patient and its successful management
Authors:   City Hospital, Neftekamsk, Russia, Раянов Н. В. , Раянов Р. Н. ,   City Hospital, Neftekamsk, Russia, Нафиков Д. М. ,   Maloyaz Central District Hospital, Maloyaz, Russia, Семенюк В. А. ,   Sovetsky District Hospital, Sovetsky, Russia
Published: December 2024

The article presents the etiology, clinical manifestations including localized pain, swelling
and venous dilatation in the cyst area, methods, diagnostic results and surgical treatment of a rare clinical diagnostic case of a giant tumor of the distal epiphysis of the left femur in a 23-year-old female patient. Giant cell tumor of the femur, also known as osteoclastoma, is a benign neoplasm consisting of giant multinucleated cells and unicellular formations. It is characterized by the filling of serous fluid or blood and commonly localizes in the proximal metaphysis of the humerus and femur. In a case of long-term unclear pain in the knee joint, especially without a cause, any doctor, regardless of the age of the patient, should always have oncological alertness. Following comprehensive examination of the patient using X-ray imaging, CT scan and MRI, will allow determining the stage of the pathological process to prevent complications.
Mother-parasite-fetus system. Secretome of flukes
Authors:   Khanty-Mansiysk State Medical Academy, Khanty-Mansiysk, Russia, Карпова Я. А. , Янин В. Л. ,   Khanty-Mansiysk State Medical Academy, Khanty-Mansiysk, Russia, Хадиева Е. Д. ,   Khanty-Mansiysk State Medical Academy, Khanty-Mansiysk, Russia, Заикина Ю. Г. ,   Khanty-Mansiysk State Medical Academy, Khanty-Mansiysk, Russia, Ибраев Ж. Т. ,   Khanty-Mansiysk State Medical Academy, Khanty-Mansiysk, Russia, Алексеева Ю. В. ,   Khanty-Mansiysk State Medical Academy, Khanty-Mansiysk, Russia
Published: December 2024

The article analyses the problem of opisthorchiasis invasion influence by helminths secretome on
the mother-fetus system. The analysis is made using published papers in the electronic libraries eLIBRARY.RU, CyberLeninka, and PubMed database. The article touches upon the processes of embryonic morphogenesis and the generative potential of offspring born from mothers with opisthorchiasis invasion as well. Studies have shown that opisthorchiasis in pregnant women alters the relationships within the mother-fetus system. It increases the risks of preeclampsia, miscarriage and the development of complications in childbirth by the excretory-secretory products of parasites. Changes in the endocrine profile, liver dysfunctions, and the presence of parasite secretome in the mother’s blood can be considered as influence factors on the fetus. We propose the concept of a mother-fetus-parasite functional system, which is affected by opisthorchiasis invasion during pregnancy and requires urgent evaluation.
Design and Construction of a Website-Based Tourist Bus Rental System Using the Extreme Programming Method
Authors: Karima Nida , Kurniawan Defri
Published: December 2024

Technological developments encourage companies to implement structured systems to improve operational efficiency. PMJ Trans, a tourist bus company located in Kudus, is faced with the problem of manual administrative data management, such as recording customer orders using Excel and inappropriate bus maintenance schedules. This study aims to design and build a website-based bus rental system using the XP method, which allows for short iterations and fast feedback. This system includes online booking features, booking history management, bus placement, and booking notifications from customers to admins. User Acceptance Testing (UAT) testing showed 100% system success, as measured by the aspects of Learnability, Efficiency, Memorability, Errors, and Satisfaction. The constraints during development were the limited number of respondents during the testing stage, where only the company owner was involved due to unsupportive time and location. Implementing this system can help the company's operational efficiency, reduce manual errors, and provide a good experience to customers. Further research suggests adding a payment feature integrated with the bank to automate payment confirmation and transaction security and a chatbot so that bookings via WhatsApp are well organised.
State of rheumatology in the Republic of Bulgaria for the period 2019 – 2023
Authors: Stoilov Rumen , Boyadzhieva Vladimira , Ivanova Mariana , Stoilov Nikolay
Published: December 2024

Over the past 15-20 years, there has been a notable shift in the overarching strategy within rheumatological theory and practice concerning the diagnosis and comprehensive treatment of rheumatic diseases. The primary focus has shifted towards early diagnosis, coupled with aggressive treatment strategies, aiming to achieve long-term remission or maintain low disease activity. Consequently, the primary objective for rheumatologists has been to achieve sustained improvement in patient outcomes.
This shift has been facilitated by the updating of classification criteria, enabling earlier diagnosis and intervention in rheumatic diseases. Furthermore, advancements in indices for evaluating disease activity and treatment efficacy have enhanced the monitoring process. The integration of new instrumental and laboratory techniques, such as Magnetic Resonance Imaging (MRI) and ultrasound (US) for musculoskeletal assessment, has become standard practice.
Additionally, the introduction of novel and highly effective treatments has significantly contributed to improved patient outcomes. Consequently, there has been a notable reduction in the proportion of patients experiencing disabilities associated with rheumatic diseases.
Nonetheless, a significant issue persists concerning the uneven distribution of rheumatologists and rheumatology hospital beds throughout the country. The disparity is striking, with over half of all rheumatologists concentrated in Sofia and Plovdiv, comprising 106 individuals (57 and 49, respectively). While there are economic, financial, and demographic factors at play, the primary root cause remains the absence of comprehensive government policies addressing this disparity.
In summary, the field of rheumatology in the Republic of Bulgaria has experienced considerable growth and transformation over the past decade. The number of rheumatologists has doubled, with a notable proportion exclusively engaged in outpatient care. This expansion has led to a commendable level of access to rheumatological specialists and hospital facilities per 100,000 population.
Capillaroscopy in Primary Raynaud’s Phenomenon – Is It Devoid of Changes?
Authors: Lambova Sevdalina , Stoilov Nikolay , Boyadzhieva Vladimira
Published: December 2024

Raynaud’s phenomenon (RP) is a common clinical syndrome in rheumatology and represents a clinical sequel of recurrent reversible vasospasm of small peripheral arteries and arterioles provoked by cold exposure and emotional stress. RP is classified into two major categories – primary RP in the absence of an underlying disease and secondary RP that is in the context of another disease. The differentiation between primary and secondary RP is of crucial importance in clinical practice because patients with primary RP are with benign course while those with secondary RP require further differentiation and establishment of the precise diagnosis and treatment. The diagnosis of RP is clinical and some clinical features (severity of vasospastic attacks, thumb involvement, appearance of digital ulcers or necrosis) differentiate primary from secondary RP. However, precise differential diagnosis between primary and secondary RP requires laboratory assessment including immunologic screening and capillaroscopic examination. In primary RP, the pathological microcirculation with inadequate acclimatization prior to capillaroscopic examination may lead to visualization of comma-like appearance of capillaries, interrupted blood flow and their morphology could not be adequately analyzed. Moreover, the zones with compromised perfusion may be wrongly interpreted as avascular areas. The skin temperature should be normal during capillaroscopic examination to avoid mistakes related to intermittent changes in the blood flow. Our experience and current literature data suggest that the diagnosis primary RP is confirmed in overall context in the absence of capillaroscopic features of microangiopathy. However, minor microvascular changes are common findings especially presence of dilated capillaries that might be related to altered vascular tone as a consequence of recurrent vasospastic attacks. In rare cases “scleroderma” type microangiopathy (i.e., giant capillaries, avascular areas, neoangiogenesis in association with devascularization and capillary derangement) could be observed in patients in whose clinical symptoms, laboratory and immunological findings are compatible with the diagnosis primary RP. They should be labeled “suspected secondary RP” and require close follow-up.
Una radio que vincula y rescata memoria ancestral en el sur occidente colombiano a través de la relación cultura y naturaleza
Authors:   , López Preciado Patricia
Published: December 2024

Trabajo de tesis doctoral en el que se presenta el análisis de los procesos comunicativos dinamizados por una emisora de radio comunitaria con enfoque ecológico del sur de Colombia, que más allá de su parrilla de programación gestionó proyectos culturales de gran impacto regional estableciendo una relación permanente entre cultura y naturaleza evidenciada en las prácticas comunicativas que iba implementando a lo largo de 20 años de labor continua. Este trabajo pretende dar cuenta de ese proceso comunicativo integrador y articulador de dinámicas comunicativas donde el rescate de valor ancestral e identidad se convierten en el principal logro de su quehacer comunicativo.
Possibilities of a differentiated approach to assessment of water erosion soil loss in agricultural fields contaminated with radiocaesium (upper Oka basin)
Authors: Trofimetz Lyubov , Panidi Evgeny , Tarasov Arkady , Barkalov Aleksandr
Published: December 2024

The paper presents the results of studying the soil loss due to water erosion in an agricultural field located on the arable slope of the southern exposure at an experimental area located in the territory of the Oryol district of the Oryol Region (in the upper Oka basin). The research is based on the author’s in situ data. The use of a very high resolution satellite imagery, a digital elevation model (DEM), which was used to calculate morphometric relief indicators (catchment area and profile curvature), a large amount of data of the integrally selected soil samples in a 0–25 cm layer (more than 500), gamma-spectrometric and agrochemical analysis of soil samples together allowed us to develop a system of dependencies for 11 estimated zones. The catchment area and profile curvature were used as predictors. The zones differ in the degree of dissection of the surface by the hollow complex and by the slopes of the surface. For the watershed surface, an estimated zone is proposed that bounds the area of 500 m2 catchment area values. Caesium-137 acts as a marker of the degree of soil runoff. The high variability of caesium-137 in the experimental area is due, among other things, to the presence of pile-collapse furrows on the sloping surface. A gridded map of the soil runoff intensity compiled according to the developed equations shows that the soil loss intensity due to water erosion varies from 5 to 20 t/ha per year. Within 11 estimated zones, there is a difference in the areas of high-intensity soil runoff plots (20 t/ha per year and more). The regional methodology proposed in the article for soil losses assessment using caesium-137 radionuclide and morphometric topography indicators requires verification by an independent method.