bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid Reliable Clustering Algorithm with Heterogeneous Traffic Routing for Wireless Sensor Networks
Authors: Bhukya Sreenu Naik , Annavarapu Chandra Sekhara Rao
Published: January 2025

Wireless sensor networks (WSNs) are vulnerable to several challenges. Congestion control, the utilization of trust to ensure security, and the incorporation of clustering schemes demand much attention. Algorithms designed to deal with congestion control fail to ensure security and address challenges faced due to congestion in the network. To resolve this issue, a Hybrid Trust-based Congestion-aware Cluster Routing (HTCCR) protocol is proposed to effectively detect attacker nodes and reduce congestion via optimal routing through clustering. In the proposed HTCCR protocol, node probability is determined based on the trust factor, queue congestion status, residual energy (RE), and distance from the mobile base station (BS) by using hybrid K-Harmonic Means (KHM) and the Enhanced Gravitational Search Algorithm (EGSA). Sensor nodes select cluster heads (CHs) with better fitness values and transmit data through them. The CH forwards data to a mobile sink once the sink comes into the range of CH. Priority-based data delivery is incorporated to effectively control packet forwarding based on priority level, thus decreasing congestion. It is evident that the propounded HTCCR protocol offers better performance in contrast to the benchmarked TBSEER, CTRF, and TAGA based on the average delay, packet delivery ratio (PDR), throughput, detection ratio, packet loss ratio (PLR), overheads, and energy through simulations. The proposed HTCCR protocol involves 2.5, 2.3, and 1.7 times less delay; an 18.1%, 12.5%, and 5.5% better detection ratio; 2.9, 2.6, and 1.8 times less energy; a 2.2, 1.9, and 1.5 times lower PLR; a 14.5%, 10.5%, and 5.2% better PDR; a 30.7%, 28.5%, and 18.4% better throughput; and 2.27, 1.91, and 1.66 times lower routing overheads in contrast to the TBSEER, CTRF, and TAGA protocols, respectively. The HTCCR protocol involves 4.1% less delay for the ‘C1’ and ‘C2’ RT packets, and the average throughput of RT is 10.4% better when compared with NRT.
Development of Air Quality Monitoring Systems: Balancing Infrastructure Investment and User Satisfaction Policies
Authors: Sokolova Olga , Yurgenson Anastasia , Shakhov Vladimir
Published: January 2025

Air quality monitoring is a critical aspect of urban management. While poor air quality negatively impacts public health and well-being, implementing effective monitoring systems often involves significant costs. This paper addresses the optimization of air quality monitoring systems by balancing cost-effectiveness with citizen satisfaction. The core objective is to identify an optimal trade-off between user satisfaction and budgetary constraints. To achieve this, we optimize the number of clusters, where each cluster represents a group of users served by the nearest air quality sensor. Additionally, we present a penalty function that emphasizes prompt air pollution warnings, facilitating preventive actions to reduce exposure to polluted areas while ensuring a cost-effective solution. This approach enables the formulation of well-founded performance requirements for AI-driven algorithms tasked with analyzing air quality data. The findings contribute to the development of efficient, user-centric air quality monitoring systems, highlighting the delicate balance between infrastructure investment, AI algorithm efficiency, and user satisfaction.
Using the Conference on the Future of Europe to Consider a Multilingual Continental Deliberative Model
Authors: Cordier Lionel
Published: January 2025

This article examines the linguistic and political dimensions of deliberation at a transnational level, using the Conference on the Future of Europe (CoFoE) as a case study. The CoFoE, held from 2021 to 2022, involved European citizens deliberating in 24 official languages of the European Union. This multilingual setting provides insights into the challenges and opportunities of fostering a multilingual continental democracy. While the European Parliament’s translation services were largely effective, the study reveals how linguistic diversity can both enhance and impede deliberative processes. By comparing the CoFoE with other multilingual forums such as the European Social Forum and traditional European Parliament deliberations, this paper explores the implications of multilingualism on participatory mechanisms and democratic engagement in the EU. This research employs an ethnographic methodology grounded in non-participant observations conducted during Panel 2 of the Conference on the Future of Europe, focusing on field notes, video recordings, and a live interpretation to document the dynamics of deliberative exchanges. The approach aimed to capture the diversity of interactions in plenary sessions and smaller discussion groups. The findings highlight the complex interplay between language use, political representation, and social inclusion, and suggest that true multilingual deliberation requires more than just technical translation services; it demands a commitment to linguistic equity and the accommodation of diverse voices.
Sustainability Evaluation: Assessing Supply Chain Impact on Company Performance
Authors: Savi Antonio , Santos Luan , Savi Marcelo
Published: January 2025

Environmental, social, and governance (ESG) aspects have a growing relevance in the corporate world where the objective for sustainability becomes an essential point. The supply chain (SC) is a buyer’s responsibility and accounts for a large part of their ESG footprint. Since ESG performance extends to SC, poor ESG practices in the SC can negatively affect the sustainability of the Anchor Company (AC). Therefore, AC, the buyer, needs to go through a complex, expensive, and time-consuming process to assess their SC. The objective of this work is to develop an ESG assessment model for companies to receive a quantitative score of their footprint by considering both their operations and the SC. The model is verified by considering different scenarios that are designed by testing two different cases with different interactions between two ACs and two SCs with different ESG maturity levels. Results show that the SC has a significant impact on the final ESG score of the AC, highlighting the need for considering the SC to evolve in ESG aspects. In all tested cases, the SC accounted for more than 50% of the final consolidated ESG score. Despite differing ESG maturity levels, two ACs received the same consolidated score due to the influence of their SC scores. Results emphasize that achieving a strong consolidated ESG score is important, and advanced corporate sustainability is not possible without integrating the SC into the strategy. The novel methodology proposed contributes to sustainability, expanding the scope of ESG assessments to include SC and developing a standardized and adaptable model with practical applications.
Data-Driven Analysis of Regional Ship Carbon Emission Reduction: The Bohai Bay Area Case Study
Authors: Ning Yangning , Li Tao , Yang Libo , Chen Bing
Published: January 2025

With the tightening of marine carbon emission reduction policies, the sustainable development of the shipping industry has attracted much attention, and it is of great significance to use Automatic Identification System (AIS) big data to study the carbon emissions of marine ships. Taking ships around Bohai Bay as the research object, this paper constructs a calculation method of ship carbon emissions driven by the ship AIS trajectory. The AIS information of ships is extracted, and the sailing status is determined. The carbon emission calculation model is built based on the AIS data, the carbon emission in 2023 is empirically measured, and the characteristics are analyzed. At the same time, a speed simulation model was built to evaluate the impact of speed reduction on carbon emissions and put forward emission reduction measures. The results show that the carbon emission of ships around Bohai Bay in 2023 was 8.8072 million tons, with cargo ships contributing the most, and the carbon emissions of the cruise state was significant. A 10% reduction in speed would reduce annual carbon emissions by about 6%. This study provides a reference for understanding the impact of speed on carbon emissions and formulating emission reduction measures, which can be used to compare historical and future data to support the emission reduction in ports and shipping enterprises.
Organizational Environmental Policies and Pro-Environmental Behaviors: The Sequential Mediating Role of Organizational and Co-Worker Green Climates
Authors: Radassao Luca , Zappalà Salvatore
Published: January 2025

This study investigates the relationship between employees’ perceptions of organizational environmental policies (EPs) and two dimensions of organizational citizenship behaviors for the environment (OCBEs), namely eco-civic engagement (ECE) and eco-initiatives (EIs). In addition, this study examines whether these relationships are sequentially mediated by the organizational and co-worker dimensions of the green work climate (GWC) scale. An online questionnaire was used to collect data from 323 employees working in three different plants of an Italian agri-food company. The results indicate that organizational GWC was related to co-worker GWC, and both dimensions sequentially mediated the relationship between EP and OCBE. Co-worker GWC emerged as a crucial factor that increased employees’ ECE and proposal of Eis. The findings highlight the relevant role of environmental policies in fostering a sustainable organizational climate. By enabling employees to engage in green behaviors and propose green initiatives, organizations can align organizational sustainability goals with employee-driven initiatives. Finally, this study provides new insights into the interplay between organizational and team climate factors and contributes to the literature on green work behaviors. Practical implications for enhancing sustainability in workplace contexts are presented.
Integrating Evidence and Causal Mapping of Factors Which Influence Medication-Taking Behavior of Pregnant Women at Risk of Hypertensive Disorder: A Scoping Review
Authors: Lee Yin Jien , Taft Anita , Moua Melody , Stevenson David K. , Darmstadt Gary L.
Published: January 2025

Preeclampsia is a form of gestational hypertension that usually appears after the 20th week of pregnancy. Evidence suggests that low-dose aspirin (LDA) effectively reduces the risk of developing preeclampsia, but the uptake rate remains low. This scoping review aims to synthesize and integrate existing knowledge domains relevant to the factors that influence women’s medication decisions during pregnancy, and to develop a causal explanation for at-risk women’s LDA uptake decisions. We introduced systems thinking to map the variables and develop causal loops to show variable interactions and causal explanations guided by the Theory of Planned Behavior. We extracted 65 variables, and grouped them into provider- (n = 19), patient- (n = 39), and system-level (n = 7) factors. By identifying variable interactions, we built a theory to explain various causal pathways leading to LDA treatment uptake. Mapping the variables and supporting the relationships of these variables with theories and concepts increases our study’s generalizability to medication decisions for other pregnancy complications.
Toxic Cyanopeptides Monitoring in Thermal Spring Water by Capillary Electrophoresis Tandem Mass Spectrometry
Authors: Carmona-Molero Rocío , Carbonell-Rozas Laura , García-Campaña Ana M. , Olmo-Iruela Monsalud del , Lara Francisco J.
Published: January 2025

Cyanobacteria are an ancient group of prokaryotes capable of oxygenic photosynthesis. Recently, thermal crises symptoms in hot springs have been associated with acute cyanopeptides poisoning. The aim of this work is to develop a fast, easy and reliable method to monitor the presence of toxic cyanopeptides in geothermal waters. The analytical method based on capillary zone electrophoresis coupled with tandem mass spectrometry (CZE-MS/MS) was developed for the simultaneous determination of 14 cyanopeptides in less than 7.5 min. A basic 50 mM ammonium acetate buffer at pH 10.2 was selected as the background electrolyte, positive electrospray ionization (ESI+) was employed for all compounds, and a salting-out assisted liquid–liquid extraction (SALLE) protocol with acetonitrile as an extraction solvent and MgSO4 as an auxiliary salting-out agent was optimized as sample treatment. Six natural hot springs in the province of Granada (Andalucía, Spain) were sampled at the beginning of the summer season (June) and at the end (September). Biomass collected at two sample points (Santa Fe and Zújar) contained cyanobacteria cells from the genera Phormidium, Leptolyngbya, and Spirulina. Nevertheless, cyanotoxins covered by this work were not found in any of the water samples analyzed. The greenness and transferability of the method was evaluated highlighting its sustainability and applicability.
Malaria Mortality in Brazil: Age–Period–Cohort Effects, Sociodemographic Factors, and Sustainable Development Indicators
Authors: Farias Mariusa Fernandes de , Figueiredo Eric Renato Lima , Silva Raimundo Nelson Souza da , Galhardo Deizyane dos Reis , da Silva Cleide Laranjeira , Moreira Evelyn Myelle Farias , Azevedo Yury Souza de , Furtado Emilly Cassia Soares , Castelhano Janielly Reis , Melo-Neto João Simão de , Gomes Fabiana de Campos
Published: January 2025

Introduction: Human malaria is a zoonosis considered a serious global public health problem caused by five species of protozoa of the genus Plasmodium spp., which are transmitted by mosquito vectors belonging to the genus Anopheles spp. Objective: To verify whether there is a relationship between the age-standardized malaria mortality rate in Brazil and age–period–cohort effect variables, sociodemographic differences, and indicators of sustainable development. Methods: Data on malaria mortality in Brazil from 2000 to 2022 were analyzed using sociodemographic factors such as ethnicity, region of residence, and sustainable development indicators. Results: Statistical data demonstrated that from 2000 to 2022, there was a reduction in malaria mortality; the 0–4 years age group was more susceptible to death, and the infection affected more men, Indigenous people, and residents of the North Region. Environmental factors such as CO2 emissions and sanitation predict mortality in specific regions. The North and Northeast Regions had higher mortality rates. In the North, low CO2 emissions, deforestation, weak urban sanitation, a lower GDP, and a higher Gini index were related to high mortality; the latter was also a factor in high rates of deforestation and solid waste collection in the Central West and Northeast Regions. The number of consultations and professionals was a predictive factor for high rates in the three regions mentioned. The Southeast Region had the lowest mortality rate and lowest health expenditure, while the Northeast and Midwest Regions had the highest expenditure in this sector. Conclusions: This study can contribute to the direction of public policy due to the specificities of each region in Brazil.
Viral Suppression and HIV Drug Resistance Among Patients on Second-Line Antiretroviral Therapy in Selected Health Facility in Ethiopia
Authors: Zealiyas Kidist , Gebreegziabxier Atsbeha , Getaneh Yimam , Kidane Eleni , Woldesemayat Belete , Yizengaw Ajanaw , Gutema Gadisa , Adane Sisay , Yimer Mengistu , Yilma Amelework , Tadele Sisay , Sasinovich Sviataslau , Medstrand Patrik , Arimide Dawit Assefa
Published: January 2025

HIV drug resistance (HIVDR) presents a significant challenge to antiretroviral therapy (ART) success, particularly in resource-limited settings like Ethiopia. This cross-sectional study investigated viral suppression rates and resistance patterns among patients on second-line ART across 28 Ethiopian health facilities. Blood samples collected from 586 participants were analyzed to measure CD4 count and viral load and assess HIVDR in patients experiencing virological failure (VF) (viral load ≥ 1000 copies/mL). Demographic and clinical data were analyzed using logistic regression to identify factors associated with VF. Results showed that 13.82% of participants experienced VF, with 67.57% of genotyped samples exhibiting at least one drug resistance mutation. Resistance to nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), and protease inhibitors (PIs) was detected in 48.64%, 64.86%, and 18.92% of cases, respectively. Dual-class resistance was identified in 48.64% of patients, while triple-class resistance was detected in 18.92%. VF was more likely among students and those with CD4 counts below 200 cells/mm³, but less likely in patients on second-line treatment for 12 months or more. Our findings highlight a substantial HIVDR burden among patients on second-line ART with VF, emphasizing the need for comprehensive HIV care, including adherence support, regular viral load monitoring, and HIVDR testing.
SARS-CoV-2 Infection and Adverse Maternal and Perinatal Outcomes: Time-to-Event Analysis of a Hospital-Based Cohort Study of Pregnant Women in Rio de Janeiro, Brazil
Authors: Brendolin Michelle , Wakimoto Mayumi Duarte , de Oliveira Raquel de Vasconcellos Carvalhaes , Mageste Larissa Rangel , Nielsen-Saines Karin , Brasil Patricia
Published: January 2025

Understanding perinatal health outcomes following SARS-CoV-2 infection during pregnancy necessitates large-scale studies of mother-infant dyads. Hospital-based studies of pregnant women and their neonates provide valuable insights within the field of perinatal health research. The aim of this study was to evaluate the effect of SARS-CoV-2 infection on maternal and perinatal outcomes among hospitalized pregnant women in Rio de Janeiro during the COVID-19 pandemic. Methods: The study consisted of a time-to-event analysis of a hospital-based cohort of 1185 pregnant women ≥ 16 years and their infants from May 2020 to March 2022. Pregnant women were classified as infected if they had a SARS CoV-2 positive RT-PCR or a positive rapid antigen test. An exploratory analysis of qualitative variables was conducted with calculation of absolute and relative frequencies and calculation of 95% confidence intervals. Survival functions were estimated by the Kaplan–Meier method, and the Cox proportional hazards model was employed to interpret the effects of SARS-CoV-2 infection on time to adverse maternal and perinatal outcomes, adjusted for vaccination, comorbidity, and gestational trimester. Results: A total of 21% (249/1185) women were infected with SARS-CoV-2, with a median age of 26 (range: 16–47). Cesarean section deliveries were performed in 57% (135/237) SARS CoV-2+ participants vs. 43% (391/914) of uninfected participants, p < 0.001. Intensive care unit admission and/or death occurred in 68 of 1185 participants (5.7%), 44 of 249 participants (17.7%) infected with SARS CoV-2 vs. 24 of 936 uninfected participants (2.5%). All 21 participants who died were unvaccinated against COVID-19. Women infected with SARS-CoV-2 were at greater risk of adverse maternal outcomes (crude HR: 5.93, 95% CI: 3.58–9.84; adjusted HR: 5.47, 95% CI: 3.16–9.48) than uninfected pregnant women. SARS CoV-2 vertical transmission was observed in 6 of 169 (3.6%) tested neonates. Preterm deliveries occurred more frequently in patients testing positive for SARS-CoV-2 (30.7% vs. 23.6). In the survival analysis, no effect of SARS-CoV-2 infection was observed on prematurity (HR: 0.92, 95% CI: 0.68–1.23) and adverse perinatal outcomes, including fetal distress (HR: 1.29, 95% CI: 0.82–2.05), stillbirth (HR: 1.07, 95% CI: 0.48–2.38), and neonatal death (HR: 0.96, 95% CI: 0.35–2.67), even after adjusting for vaccination, comorbidity, gestational trimester, and periods of time. Conclusion: The risk of maternal death due to COVID-19 highlights the need for adequate preventive measures, particularly vaccination, during the prenatal and postpartum periods.
Neonatal Microcephaly and Central Nervous System Abnormalities During the Zika Outbreak in Rio de Janeiro
Authors: Martins Marlos Melo , Medronho Roberto de Andrade , Raymundo Carlos Eduardo , Prata-Barbosa Arnaldo , da Cunha Antonio José Ledo Alves
Published: January 2025

This retrospective cohort study analyzed 7870 pregnant women, including 2269 with confirmed Zika virus (ZIKV) infection and 5601 without Zika infection, along with their fetuses and newborns. Data were sourced from multiple databases in the state of Rio de Janeiro, Brazil. A propensity score model was employed to control confounding factors and stratify outcomes by pregnancy trimester. Among ZIKV+ pregnant women, 49 cases of congenital microcephaly or congenital nervous system (CNS) abnormalities were identified (2.16%, or 193.9 cases in 10,000 live births), whereas 44 cases were identified among ZIKV− women (0.78%, or 71.4 cases in 10,000 live births). Multivariable analysis yielded an odds ratio of 2.46 (95% CI 1.30–4.64) overall, with 4.29 (95% CI 1.93–9.53) in the first trimester, 5.29 (95% CI 1.08–25.95) in the second trimester, and 0.68 (95% CI 0.21–2.14) in the third trimester. The most frequent findings among ZIKV+ cases included intracranial calcifications, ventriculomegaly, posterior fossa malformations, reduced brain volume, corpus callosum malformations, cortex dysplasia, lissencephaly, and pachygyria. Ophthalmologic abnormalities were detected in 55.5% of cases, and brainstem auditory evoked potential anomalies were reported in 33.3%. ZIKV infection can result in structural or functional anomalies. Given the absence of specific treatment for congenital Zika syndrome (CZS), clinical care should prioritize monitoring and managing neurological, motor, auditory, visual, and orthopedic disorders in all children with in utero ZIKV exposure, especially during the first and second trimesters of pregnancy.
Comparative Genome Sequencing Analysis of Some Novel Feline Infectious Peritonitis Viruses Isolated from Some Feral Cats in Long Island
Authors: Shah Abid Ullah , Esparza Blanca , Illanes Oscar , Hemida Maged Gomaa
Published: January 2025

Feline infectious peritonitis virus (FIPV) remains as one of the leading causes of morbidity and mortality in young cats from shelters and catteries worldwide. Since little is known about the molecular characteristics of currently circulating FIPV strains in Long Island, New York, samples from two shelter cats submitted to the Pathology Diagnostic Services of the Long Island University College of Veterinary Medicine, with gross and microscopic lesions consistent with those of FIP were processed for virus isolation, molecular characterization and full-length genome decoding. The younger shelter cat, a 1-year-old male (A15) was found dead without previous signs of illness. Postmortem examination revealed gross and microscopic lesions characterized by vasculitis, necrosis, hemorrhage, and pyogranulomatous inflammation confined to the colon and associated lymph nodes. The second cat, a 7-year-old spayed female (A37) had an identical clinical history and similar but widespread lesions, including fibrinous peritoneal effusion, cecal, colonic, renal, and hepatic involvement. The gross and microscopic diagnosis of FIP in these cats was confirmed by immunohistochemistry (IHC) demonstration of feline coronavirus antigen using mouse anti-FIPV3-70 monoclonal antibody. Virus isolation from saved frozen kidney and colon tissue was performed through several subsequent blind passages in MDCK and Vero cell lines. Confirmation of the FIPV isolation was done through qRT-PCR, IFA, western blot using N protein antibodies, and NGS of the full-length genome sequencing. The full-length genome sequences of the virus isolate from the two cats were decoded using next-generation sequencing (NGS) and deposited in the GenBank as accession numbers PQ192636 and PQ202302. The genome size of these isolates was (29355 and 29321) nucleotides (nt) in length, respectively. While their genome organization was consistent with other FIPV genomes as follows (5’UTR-ORF1ab-S-3abc-M-E-7b-3’UTR-3’), marked differential mutations were observed in the ORF1a/b, S, 3Abc, and 7b protein genes of the two FIPV isolates. One notable deletion of 34 nucleotides was observed in the 7b genes of one of these isolates but was absent in the other. We confirmed the potential recombination events during the evolution of those two FIPV field isolates with the potential parent virus as FECoV-US isolated in 1970 and the potential minor parent as the Canine coronavirus. Our results provide a comprehensive molecular analysis of two novel FIPV isolates causing fatal disease in shelter cats from Long Island. Diagnostic surveillance with molecular characterization and sequencing analysis of circulating FIPV strains within animal shelters may help early detect unique emerging clinical and pathological manifestations of the disease and develop more targeted prophylactic and therapeutic approaches to control it.
Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation
Authors: Liu Yi , Jiang Jiade , Tian Zijian
Published: January 2025

With the rapid development of the Internet of Vehicles (IoV) and autonomous driving technologies, robust and accurate visual pose perception has become critical for enabling smart connected vehicles. Traditional deep learning-based localization methods face persistent challenges in real-world vehicular environments, including occlusion, lighting variations, and the prohibitive cost of collecting diverse real-world datasets. To address these limitations, this study introduces a novel approach by combining Vision-LSTM (ViL) with synthetic image data generated from high-fidelity 3D models. Unlike traditional methods reliant on costly and labor-intensive real-world data, synthetic datasets enable controlled, scalable, and efficient training under diverse environmental conditions. Vision-LSTM enhances feature extraction and classification performance through its matrix-based mLSTM modules and advanced feature aggregation strategy, effectively capturing both global and local information. Experimental evaluations in independent target scenes with distinct features and structured indoor environments demonstrate significant performance gains, achieving matching accuracies of 91.25% and 95.87%, respectively, and outperforming state-of-the-art models. These findings underscore the innovative advantages of integrating Vision-LSTM with synthetic data, highlighting its potential to overcome real-world limitations, reduce costs, and enhance accuracy and reliability for connected vehicle applications such as autonomous navigation and environmental perception.
Aquaculture Development in Myanmar: Aquaculture Quo Vadis?
Authors: Wuertz Sven , Muehlbauer Florian
Published: January 2025

This paper explores how the aquaculture sector in Myanmar may manage its future by tracing the policy developments in the recent past and highlighting the opportunities that have arisen from this paradigm shift. In particular, the shift to an integrated, systematic approach based on research data and scientific information as a basis for decision-making has brought a fresh breeze to the sector’s policy making, showcased by several policy guidelines such as the Standard for Good Aquaculture Practice (GAQP), the National Aquaculture Development Plan (NADP) and the Guidelines for Save Fish Processing. This creates opportunities, especially for international cooperation, where practical solutions can be found at the working level to the challenging problems of the sector. We have identified the challenges that need to be urgently addressed for the sector to contribute to income and food security. In particular, sustainable feeds, diversification and emerging candidates, aquatic animal health and disease management as well as adaptation to climate change will be discussed. Finally, a SWOT analysis is provided.
Regional Gaps, Spatial Distribution Patterns, and Evolutionary Trends of Marine New Quality Productivity in China
Authors: Wu Renhong , Wang Wei , Yang Lihua , Wu Yao
Published: January 2025

By analyzing a comprehensive dataset of marine economic activity in China’s 11 coastal provincial administrative regions from 2006 to 2021, we constructed productivity indices to identify regional differences, spatial distribution patterns, and evolutionary trends at the national level, with particular focus on the three major maritime economic circles. The results indicate that China’s marine economy is generally growing, and development of marine new quality productivity (MNQP) in the eastern maritime economic circle is better than that in the northern and southern maritime economic circles. This regional gap in coastal areas at low, high, and higher levels gradually increases, while the regional gap decreases in coastal areas at lower levels. The gaps in the degree of openness to the outside world (X4) and in the level of financial development (X7) are the main factors contributing to regional differences in China’s marine new quality productivity. The overall center of gravity of marine new quality productivity is in the south, indicating the rapid growth momentum of the southern maritime economic circle; China’s marine new quality productivity shows a northeast–southwest distribution pattern; and the degree of agglomeration of China’s marine new quality productivity has increased. In the process of moving towards balanced and coordinated regional development of China’s marine industry, there are both opportunities and challenges. Breaking the self-locking tendencies of the lower-level state and preventing its downgrading are the biggest challenges for achieving this goal. However, China’s marine new quality productivity will be stabilized in states at high and higher levels.
CONCEPTUAL APPROACHES TO MODELING ALTERNATIVE FORMS OF THE DEVELOPMENT OF PERSONAL COMPETENCIES IN THE CONDITIONS OF EDUCATIONAL TRANSFORMATIONS
Authors: Tovkanets H. , Tovkanets O.
Published: January 2025

The article substantiates approaches to modeling alternative forms of the development of personal competencies in the context of educational transformations. The article analyses studies that emphasize the importance of developing a digital-age school since digital technologies help to choose a learning path for each student. It is noted that this is possible with the transition to the use of modern digital educational and methodological complexes that will allow students to create individual programmes, select the best methods and formats for learning the material, the introduction of games and simulations into the educational process, which will engage children in learning and help develop the skills of the 21st century, including teamwork, critical and creative thinking. The growing demand for 21st century competencies in the context of global transformations in work and lifestyles means an increasing demand for new individual and collective competencies. Attention is being focused on competencies and knowledge that help to ensure the fundamental variability, uncertainty, complexity, and ambiguity of the future (cooperation, creativity, entrepreneurship, ability to understand); strengthen the growing complexity of civilization (systemic thinking, ability to solve problems and find new opportunities; help to live in a world of information and communication technologies, in particular, basic programming skills, information search, processing and analysis skills, etc. It has been determined that as an alternative in education, it is necessary to create tools and processes that support personal and collective learning and development throughout life and that contribute to the definition of goals, the development of various aspects of personal and collective activity through holistic educational research, including play and collaborative creativity, integrated into educational trajectories; measurement of learning outcomes, support of personal and collective education processes (virtual personal assistants and various educational resources); integration of personal and collective educational trajectories that match individual educational needs with the needs of groups and communities.
THE ART OF EDUCATIONAL ACTIVITIES MANAGEMEN
Authors: Hnativ Z. , Oronovska L.
Published: January 2025

The article outlines the phenomenon of the art of educational activities management in the challenges of today based on the synthesis of artistic, psychological and pedagogical, managerial, philosophical training, and many years of experience in higher education. The processes of changes in the interpretation of pedagogical education are analyzed, in particular, from the training of teachers of different levels and degrees to the formation of the pedagogical component of professional education. The art of management is defined as the highest form of achieving professional mastery, a form of reflection, cognition, comprehension and solution of a specific problem situation due to a high level of education, creativity, interpretation of management science and the implementation of positive experience, creativity, aesthetic, emotional culture, etc. It is emphasized that the art of management is a model of successful managerial activity, leading to the improvement of its subjects. The relationship between art and power is highlighted, which also constitutes an interesting vector of research, since art is a symbol of status in society. Speaking about the aestheticization of higher education in the context of the art of management, the relevance of aesthetic training of young specialists, the importance of their general culture, national consciousness, and readiness to adequately represent their country at the international level are substantiated. The importance of forming a modern successful manager-leader based on a cultural-creative approach is emphasized, according to which the epicenter of education is a person of culture.
TEACHER'S PROBLEMS AND MAINTAINING PASSION FOR THE PROFESSION
Authors: Michalski Ja.
Published: January 2025

The article analyzes important challenges in the professional activity of teachers, including: constant confirmation of qualifications, obstacles to the introduction of pedagogical innovations, lack of trust in the teaching profession, constant inspections, pressure from parents and educational authorities, lack of cooperation between teaching teams in schools, and increasing problems in the organization of the educational process, which are not always effectively resolved, lack of motivation due to insufficient salaries, low enrollment in pedagogical specialties, ineffective professional development system, expansion of artificial intelligence, etc. Attention is focused on the problem of teacher burnout and the need to maintain a passion for the profession, which implies the joy of success, the ability to overcome failures, because such a teacher is not satisfied with humility, inertia or criticism of others, but is looking for real opportunities and tools for professional development. Analyzing the essence of the category “engagement” and “passion” in the professional context, the author emphasizes that the appropriate perception of the teacher’s profession is formed by students, pupils, but at the same time, the teacher must form his or her own professional consciousness, developing intellectual potential, emotionality, and collaborating with colleagues. It has been found that the use of innovations in pedagogical activity involves not only technical application, but also reflection, dialogue, and comprehension of the capabilities of relevant educational technologies. It is proved that each teacher's passion for his or her profession contributes to the creation of an emotional, exciting educational environment of the school, which should be based on creative interaction, communication, partnership, awareness of the value of relationships, etc.
Improving Sentiment Classification using Ensemble Learning
Authors: Abdullah Sherwan A , Salih Mohammed I , Ahmed Omar M
Published: January 2025

This paper presents an ensemble learning-based approach to improve sentiment classification accuracy in the IMDB movie reviews dataset. To this end, we tap three diversified models: Logistic Regression, Random Forest, and a Bidirectional Long Short-Term Memory neural network. Each one contributes its unique strengths to the ensemble, enhancing the overall performance. The text data has been processed using a statistical formula that converts the text document into a vector from the relevancy of the word with bigrams; data have been transformed to make it useful for Logistic Regression and Random Forest classifiers. The LSTM neural network is designed to capture sequential dependencies through an embedding layer followed by a bidirectional LSTM and dense layers with dropout regularization. The ensemble method then combines predictions of these models by majority voting, thus the interpretability and robustness of conventional classifiers are preserved, while advanced capabilities from neural networks are maintained. Our experiments prove that this ensemble approach does obtain an accuracy of 89.2% on the test dataset, which outperforms individual models. This study realizes some possible ways to combine traditional machine learning techniques with deep learning models in sentiment analysis tasks.
The Cultural Memory Concept Evolution in the Ideas of Philosophy of Life Representatives
Authors:   Pushkin Leningrad State University, Dunaeva S.L.
Published: January 2025

ntroduction. Until the twentieth century, memory was traditionally understood as the art of memorizing and reproducing information. Well known thinkers in the field of social memory - J. Assman, M. Halbwaks, P. Nora, etc. - began to talk about it as the basis for the existence of a collective, culture, and society. The concept of memory expansion became possible as a result of an in-depth analysis of the world order of specific epochs. In the history of philosophical thought, an active interest in the topic arises in the second quarter of the 19 century - the time of the development of non-classical philosophy and, in particular, the philosophy of life. Its representatives, considering the concept of life, touched upon memory issues to one degree or another. Content. A. Schopenhauer introduced the concepts of time, space and causality into the world of human experiences, which influenced the development of subsequent concepts. S. Kierkegaard considered memory through the category of repetition as the basis for reproducing information and actions in everyday life. F. Nietzsche, considering life as the will to power, wrote about the existence of life in two forms - historical and non-historical, in the interaction of which lies the most important feature of memory - constructability. W. Dilthey made an attempt to change the methodology of the study of the humanities and introduced the concept of experience as the basis for the study of history and society; the thinker attributed memory to one of the components of experience. G. Zimmel considered life as a constant movement in time and space, as a result of which memory issues, among which - traditions, continuity, memories, places of memory - began to rise. A. Bergson proposed the concept of memory in the work “Matter and Memory”, which is based on the mutual influence of memory and perception in human consciousness. His concept became the basis for a number of modern concepts of memory. O. Spengler, offering a new approach to the study of history, included memory in the principle of historicism in the study of culture.

Conclusions. In the philosophy of life, the most important characteristics of the concept of memory were developed, but the ideas of thinkers of this trend did not enter the discourse of memory for a number of reasons: firstly, they did not set out to consider the phenomenon of memory itself, they were interested in the concept of life; secondly, historical circumstances that activated the appeal to the topic of cultural memory arose later - in the period of social upheavals of the second quarter of the twentieth century; thirdly, the most holistic among the considered concepts of memory (A. Bergson), is addressed only to the phenomenon of individual memory, but not to a social phenomenon. At the same time, the works of the philosophy of life representatives in their own way predetermined the application of the concept of cultural memory in humanitarian studies.
“Rooms of Silence” as a Phenomenon of Religious Relations Transformation in Western Europe at the Beginning of the 21st Century
Authors:   Peoples' Friendship University of Russia named after Patrice Lumumba, Barashkov V.V.
Published: January 2025

Introduction. The transformation of religiosity in modern Western Europe is manifested in the individualization of religious practices. This phenomenon gets different names: “privatization of faith”, “invisible religion”, “patchwork religiosity”, etc. Obviously, these practices require a certain spatial organization, different from the church. The “rooms of silence” become spaces that are basically aimed at individual religiosity. Content. In the multiculturalism context, a type of “rooms of silence” is being formed in public spaces (educational institutions, hospitals, airports, train stations, shopping malls, etc.). They are heterogeneous and offer different models of interaction between people with religious and non-religious views (“interreligious”, “meditative”, “secular” models). In some cases, they are the result of the “neutralization” of the Christian content of already existing chapels and prayer rooms. “Rooms of silence” are designed for people of any religious views or having a secular worldview, which creates difficulties in the design of these spaces. The task of coordinating individual and collective religious practices is also becoming problematic. This leads to the fact that the material aspect of religion comes out in the first place, when the behavior of people in the “rooms of silence” affects their organization and design. At the same time, the aesthetics of design not only reflects religious beliefs and practices, but also directly affects their “living” in a particular space.

Conclusions. The analysis of the “rooms of silence” allows us to conclude that this phenomenon is contradictory. On the one hand, this is an attempt to distance oneself from traditional confessional religiosity collective forms, but at the same time it does not have the opportunity to exclude them. On the other hand, the specific religious or secular content is determined by those people who actively use this opportunity, but the form itself is often still determined by the traditional ways of interaction between religion and secular society. Aesthetically, it can be concluded that abstract images are preferred in these spaces, since they are not loaded with confessional symbols, as well as the growing importance of the aesthetics of nature, which is perceived as the most adequate reflection of the “secular sublime”.
Methodology of Early Christianity Historiography in Russian Studies of the 20th–21st Centuries
Authors:   Pushkin Leningrad State University, Savina K.I.
Published: January 2025

ntroduction. The article examines the problems of the historiography of early Christianity related to the general attitudes of the dominant worldview in the pre-revolutionary and Soviet periods. The author raises questions about the polemical beginning of church historiography and the need to revise the historiographical methodology in modern religious studies. Сontent. The author analyzes the methodologies of two major historiographies of the twentieth century: the pre-revolutionary (using the example of A. P. Lebedev's work “Church Historiography in its main representatives from the IV century to the XX”) and the Soviet (based on the work of G. M. Livshits “Essays on the Historiography of the Bible and Early Christianity”). Both methodologies are characterized and evaluated in terms of the fundamental limitations in each of them. Two research models are compared: the historiography of early Christianity in the Russian Empire and the historiography of early Christianity in the Soviet Union. Along with a critical analysis, the author makes suggestions in the field of methodology and terminology of the Russian historiography of early Christianity.

Conclusions. The main conclusion of the article is the need to develop a new methodology within which it would be possible to record the real development of scientific theories about the emergence of Christianity and the formation of early Christian teaching.
Methodology and Interdisciplinary Interaction During the Correction of Cognitive and Emotional-Volitional Disorders of Patients with Traumatic Brain Injury
Authors:   S. M. Kirov Military Medical Academy, Litvinenko I.V. , Loseva S.M. ,   Pushkin Leningrad State University
Published: January 2025

Introduction. Traumatic brain injury is an urgent problem of contemporary society; its consequences are actively studied by many scientists. The main reasons of people disability are used to be mental and cognitive disorders, gross motor and speech disorders. Cognitive and emotional disorders followed by memory loss, attention decrease, emotional background disorder, are the urgent social problem of the middle - aged people, as these disorders influences on the many employees.

Materials and methods. While studying, the methods of theoretical analysis of the sources of medical and pedagogical nature have been used; these sources are also oriented on current state of correctional and rehabilitation training for patients with traumatic brain injury during acute period.

Results. Cognitive and emotional-volitional disorders are one of the signs of impairment of diffuse and focal brain lesions. They can be observed whencerebrovascular, neurodegenerative, infectious and inflammatory diseases, traumatic injuries, neuro-oncological lesions of the brain take place. If brain damage takes place, there is a need to assess the state of individual higher mental functions, determine the area of brain damage and describe the psychological status of the patient. Rehabilitation and correctional measures should begin as early as possible. In this case, one should focus not only on the pathological symptoms that have already formed, but also on the expected ones. The program of corrective and restorative training should be selected individually for each patient, carried out depending on the patient's condition and the rehabilitation goals set by the interdisciplinary team. Discussion and conclusion. Predicting the course of a traumatic disease is very difficult due to many reasons. It depends on the severity of the injury and the time that has passed since the traumatic brain injury, the degree of severity of the existing limitations of the victim's life activities, his gender, age, profession, and educational level. Timely diagnostics and rehabilitation can significantly improve the quality of life of patients. There are still opened questions regarding the detailed characteristics of cognitive impairments, assessment of their frequency and severity of patients with traumatic brain injury, specification of emotional and volitional disorders, preferred directions of rehabilitation in the acute period taking into account the type of injury and features of deviations of the patient.