bluuebunny/crossref_metadata_2025 huggingface dataset:
Constructed Spaces: Affordances and a Theology of the Built Environment in Christian Early Childhood Education
Authors: Hyde Brendan , Upton Meg
Published: February 2025

Drawn from a wider study, the research reported here utilised a phenomenology of practice to investigate Australian early childhood teachers’ perceptions of constructed spaces that enhance the Christian education of children. The study was conceptually framed by the notions of constructed space, affordance theory and a theology of the built environment. Four participants were interviewed using Zoom, and their transcripts analysed using a phenomenological framework. The analysis indicated that the constructed space yielded five types of affordances—emotional space, embodied space, physical space, relational space and theological space. The findings suggest that it is the constructed environment of the early childhood centre itself that affords particular types of spaces, such as emotional space, embodies space and so on. The findings also indicate that it is the educator who makes the difference in seeing the possibility for and creating such spaces, and their intentionality in acting to create such spaces. While there are limitations to this study, including the small sample size, the findings nonetheless indicate the importance of the constructed space in enhancing the Christian education of young children in early childhood educational contexts.
Mystical Experience and Decision Making
Authors: Zas Friz De Col Rossano Cesare
Published: February 2025

The study of decision making is currently significant in various areas of knowledge, particularly in an interdisciplinary approach involving psychologists, economists, sociologists, cognitive scientists, and political scientists. This article explores the decision-making process in a new field: the mystical lived experience; i.e., approaches the perception of something present as unknown, the perception of mystery, within the decision-making process. It emphasizes that every perception requires a response, more or less conscious, and the mystical lived experience is no exception. The goal is to enhance our understanding and interpretation of the dynamics of mystical experience using a phenomenological analysis of the decision-making process as a hermeneutic key. The philosophical and anthropological background of this article draws from Karl Rahner’s transcendental experience, while the phenomenological and psychological perspective is informed by Louis Roy’s experiences of transcendence and Juan Martin Velasco’s studies on mysticism. The article first establishes the theoretical foundations of this new approach and then applies a decision-making analysis to the significant decisions made by St. Ignatius of Loyola, as detailed in his autobiography.
Review of Non-Invasive Fetal Electrocardiography Monitoring Techniques
Authors: Li Xiongjun , Wan Jingyu , Peng Xiaobo
Published: February 2025

Non-invasive fetal electrocardiography (NIFECG), an emerging technology for fetal health monitoring, has garnered significant attention in recent years. It is considered a promising alternative to traditional Doppler ultrasound methods and has the potential to become the standard approach for fetal monitoring. This paper provides a comprehensive review of the latest advancements in NIFECG technology, including signal acquisition, signal preprocessing, fetal electrocardiogram extraction, and fetal cardiac anomaly classification. Furthermore, the characteristics and limitations of existing NIFECG datasets are analyzed, and improvement suggestions are proposed. Future research directions for NIFECG technology are discussed, with a particular focus on the potential applications of deep learning techniques, multimodal data fusion, and remote monitoring systems. This review offers references and support for advancing the development and application of NIFECG monitoring technology.
Adaptive Extended Kalman Prediction-Based SDN-FANET Segmented Hybrid Routing Scheme
Authors: Sun Ke , Liu Mingyong , Yin Chuan , Wang Qian
Published: February 2025

Recently, with the advantages of easy deployment, flexibility, diverse functions, and low cost, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications, whereas the high-speed movement and limited node energy of unmanned aerial vehicles (UAVs) leads to high dynamic topology and high packet loss rate in FANET. Thus, we introduce the software-defined networking (SDN) architecture into FANET and investigate routing scheme in an SDN-FANET to harvest the advantages of SDN centralized control. Firstly, a FANET segmented routing scheme based on the hybrid SDN architecture is proposed, where inter-segment conducts energy-balanced routing and intra-segment adopts three-dimensional (3D) greedy perimeter stateless routing (GPSR). Specifically, we design the specific process of message interaction between SDN controller and UAV nodes to ensure the execution of the inter-segment routing based on energy balance. Further, to reduce the packet loss rate in high-speed motion scenes, an adaptive extended Kalman prediction algorithm is also proposed to track and predict the 3D movement of UAVs. Simulations verify the effectiveness of the proposed routing scheme in terms of end-to-end delay and packet delivery ratio.
Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning
Authors: Colléaux Yanis , Willaume Cédric , Mohandes Bijan , Nebel Jean-Christophe , Rahman Farzana
Published: February 2025

Given the significant impact of air pollution on global health, the continuous and precise monitoring of air quality in all populated environments is crucial. Unfortunately, even in the most developed economies, current air quality monitoring networks are largely inadequate. The high cost of monitoring stations has been identified as a key barrier to widespread coverage, making cost-effective air quality monitoring devices a potential game changer. However, the accuracy of the measurements obtained from low-cost sensors is affected by many factors, including gas cross-sensitivity, environmental conditions, and production inconsistencies. Fortunately, machine learning models can capture complex interdependent relationships in sensor responses and thus can enhance their readings and sensor accuracy. After gathering measurements from cost-effective air pollution monitoring devices placed alongside a reference station, the data were used to train such models. Assessments of their performance showed that models tailored to individual sensor units greatly improved measurement accuracy, boosting their correlation with reference-grade instruments by up to 10%. Nonetheless, this research also revealed that inconsistencies in the performance of similar sensor units can prevent the creation of a unified correction model for a given sensor type.
Application of Chitosan@Fe3O4 Nanoparticle-Modified Screen-Printed Graphene-Based Electrode for Simultaneous Analysis of Nitrite and Ascorbic Acid in Hydroponics and Fruit Juice
Authors: Pitakrut Sudarut , Sanchayanukun Phetlada , Karuwan Chanpen , Muncharoen Sasithorn
Published: February 2025

In this work, the development of screen-printed electrodes modified with chitosan-coated magnetite nanoparticles (CTS@Fe3O4/SPGNE) for the simultaneous determination of nitrite (NO2−) and ascorbic acid (AA−) is presented. The study investigated various ratios of graphene to chitosan-coated magnetite nanoparticles (CTS@Fe3O4), as well as the optimal pH. These factors were examined due to their impact on the selectivity and sensitivity of the analysis. The results indicated that a graphene paste to CTS@Fe3O4 ratio of 16:1.0 g and a pH of 4 were optimal for the analysis of both NO2− and AA−. Additionally, the behavior of the proposed electrode, its analytical performance, and interference studies were thoroughly examined. Furthermore, the CTS@Fe3O4/SPGNE electrode shows potential for the simultaneous determination of NO2− and AA− in hydroponics and fruit juice samples.
The Role of Virtual Reality on Parkinson’s Disease Management: A Bibliometric and Content Analysis
Authors: Wu Qiang , Qiu Mengli , Liu Xiaomei , He WanJiaAaron , Yang Ting , Jia Chengsen
Published: February 2025

The management of Parkinson’s disease (PD) has increasingly focused on innovative technologies, particularly virtual reality (VR), which has emerged as a significant tool for addressing neurological disorders. This bibliometric analysis summarizes current research trends and hotspots regarding VR applications in PD management. A comprehensive search of the Science Citation Index Expanded (SCIE) within the Web of Science Core Collection (WoSCC) identified 475 publications from 2000 to 2024. Key findings indicate a substantial increase in publication output, especially after 2013, driven by technological advancements and investments from major IT companies. Prominent research institutions and scholars from Australia, Israel, Italy, and Spain have led this field, exploring various VR applications for PD patients. The focus of VR therapy research has evolved from primarily addressing freezing of gait (FOG) to a broader range of functional impairments, including balance, postural control, upper limb motor, and cognitive function. This study provides valuable insights into the evolving landscape of clinical research on VR in PD management, highlighting global trends and potential areas for future investigation and application of VR therapies.
Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal
Authors: Lee Soojeong , Al-antari Mugahed A. , Joshi Gyanendra Prasad , Gu Yeong Hyeon
Published: February 2025

Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. However, machine learning (ML) algorithm errors embedded in health monitoring systems can be problematic in medical decision-making because some data have much larger sample sizes in the training set than others. This difference in sample size implies biosignal data imbalance. Therefore, we propose a novel methodology that combines bootstrap-based imbalanced continuous power spectral generation (IPSG) with ML approaches to estimate RRs and uncertainty to address data imbalance. The sample differences between normal breathing (12–20 breaths per minute (brpm)), dyspnea (≥20 brpm), and hypopnea (<8 brpm) show significant data imbalance, which can affect the learning of ML algorithms. Hence, the normal breathing part with a large amount of data is well-trained. In contrast, the dyspnea and hypopnea parts with relatively fewer data are not well-trained, and this data imbalance makes it difficult to estimate the reference variables of the actual dyspnea and hypopnea data parts, thus generating significant errors. Hence, we apply ML models by mixing artificial feature curves generated using a bootstrap model with the original feature curves to estimate RRs and solve this problem. As a result, the nonparametric bootstrap approach significantly increases the number of artificial feature curves. The generated artificial feature curves are selectively utilized in the highly imbalanced parts. Therefore, we confirm that IPSG is efficiently trained to predict the complex nonlinear relationship between the feature vectors obtained from the photoplethysmography signal and the reference RR. The proposed methodology shows more accurate prediction performance and uncertainty. Combining the proposed Gaussian process regression (GPR) with IPSG based on the Beth Israel Deaconess Medical Center dataset, the mean absolute error of the RR is 0.79 and 1.47 brpm. Our approach achieves high stability and accuracy by randomly mixing original and artificial feature curves. The proposed GPR-IPSG model can improve the performance of clinical home-based monitoring systems and design a reliable framework.
Escala de Mitos do Amor Romântico (EMAR): Portuguese Version of the Scale of Myths of Romantic Love (SMRL)
Authors: Grané-Morcillo Jaume , Costa-Ramalho Susana , Pérez-Testor Carles , Vall Berta
Published: February 2025

Background: Violence legitimization has been associated with the myths of romantic love. In the Portuguese context, there are no available standardized tools to assess it. This study aimed to develop the adaptation and validation of the Portuguese version of the Scale of Myths of Romantic Love (SMRL) in youth and emerging adults. Also, the acceptance of myths of romantic love was described. Methods: The sample comprised 165 individuals (83% female) aged from 18 to 30 (M = 23.01; SD = 3.33). Results: Confirmatory factor analysis supported the two-factor correlated structure found in the original validation: Idealized Love (IL) and Distorted Love (DL). The selected nested model obtained acceptable good-of-fit indices. Reliability analysis indicated acceptable internal consistency (α = 0.728; ω = 0.711) and the item-factor correlations were strong. Gender differences in the endorsement of romantic myths were found. Males obtained significantly greater acceptance of need for a couple and ambivalence myths. Females significantly endorsed the half orange myth. Conclusions: Our findings supported the two-factor related structure of the SMRL Portuguese version. Gender-based differences in romantic beliefs and their potential link to violence legitimization, gender stereotypes, and love perception are highlighted as in need of further studies. This research provides evidence regarding the psychometric properties of the Escala de Mitos do Amor Romântico (EMAR).
Correction: Banji et al. Reduction of Methane Emissions from Natural Gas Integral Compressor Engines through Fuel Injection Control. Sustainability 2024, 16, 5943
Authors: Banji Titilope Ibukun , Arney Gregg , Patterson Mark , Olsen Daniel B.
Published: February 2025

The authors would like to make the following corrections to the published paper [...]
Poznań Metropolitan Railway—Development Opportunities Based on Comparative Analysis
Authors: Kotecki Krzysztof , Pasławski Jerzy Olgierd
Published: February 2025

The agglomeration railway networks form the backbone of modern urban transport systems, providing safe and reliable access from home to work or school for thousands of residents of agglomeration districts. This article examines the possibilities and directions of development for the agglomeration railway of the city of Poznań, providing a comparative analysis of this system with the networks of the cities of Szczecin and Gdańsk. Each rail system was described and presented in terms of its most important features. The collected data were then collected in tabular form and based on them, a comparison was made using two methods: AHP and COPRAS. Both methods, although with different strengths, indicated the unquestionable advantage of the agglomeration railway in Gdańsk for the adopted assumptions. The Poznań network obtained the weakest result in light of the assumptions. The analysis showed aspects of passenger transport, the improvement of which is crucial for the development of public transport in Poznań, e.g., too low frequency of trains, the need to increase passengers’ awareness of the possibilities of using rail transport, or the need to create stops ensuring a smooth possibility of changing to another means of transport.
The Role of Greenfluencers’ Communication in Overcoming Consumers’ Barriers to Circular Economy: An Explorative Study on @Eco.narratrice
Authors: Conte Francesca , Sammartino Francesca , Bertolini Alessandra , Siano Alfonso , D’Onza Irene
Published: February 2025

Consumers encounter significant psychological and social barriers that hinder their participation in ecological transitions. Green influencers (or Greenfluencers), through their communication style and perceived credibility, have the potential to increase consumer awareness and engagement with circular practices. Previous research has focused on green influencers’ role in eco-friendly purchases, but their impact on promoting circular economy behaviors is less studied. To address this gap, the present explorative study investigates how green influencers’ communication can shape consumers’ perceptions of the barriers to adopting circular economies. Using a single case study of the Italian Greenfluencer “@Eco.narratrice” (Elisa Nicoli), this paper examines how green content creators’ communication can address psychological and social obstacles that prevent consumers from embracing circular models in the Italian context. Our findings reveal a different impact of Greenfluencer communication effectiveness on consumer perceptions of circular economy adoption barriers. While Greenfluencer communication helps reduce barriers like knowledge gaps and psychological essentialism, it may also heighten concerns about switching costs, inertia, and cynicism. The findings contribute to the growing literature on green influencers, offering new insights into the broader effects of their communication on consumer engagement with circular economies. This research provides insights for marketing managers on leveraging Greenfluencers to promote circular business models. It also provides feedback for Greenfluencers to refine their communication strategies, helping them better address consumer perceptions of CE barriers, particularly in areas where their efforts may fail to achieve the desired impact.
Teaching Green Chemistry in Higher Education: Contributions of a Problem-Based Learning Proposal for Understanding the Principles of Green Chemistry
Authors: Vaz Carlos Renato Strombeck , Morais Carla , Pastre Julio Cezar , Júnior Gildo Girotto
Published: February 2025

This paper investigates a proposal for teaching Green Chemistry concepts through the implementation of a Problem-Based Learning (PBL) approach in a specific and optional course on the subject in higher education. The main objective was to analyze the effect of implementing Problem-Based Learning (PBL) didactics on understanding Green Chemistry principles within a course with 8 university students. Through this methodology, students analyzed case studies involving the identification of GC principles in industrial redesign processes and the problematization of controversial situations related to the importance of discussions on chemical processes. Two specific cases, bio-based butylene glycol and enzymatic treatment of paper, were used to test students’ ability to recognize and justify the relevance of these principles. Additionally, another activity about the synthesis of acetanilide allowed students to identify which of four methodologies could be considered the greenest, considering different aspects. The research revealed that although the PBL approach effectively engaged students and deepened their understanding of GC principles, some concepts presented challenges. Certain principles of Green Chemistry, such as atom economy and catalysis, proved complex for some students, leading to confusion and challenges in assessing the “greenness” of processes. Nonetheless, students demonstrated improved knowledge and practical application of GC principles, linking them to industrial processes like bio-based material production and analyzing the benefits and drawbacks of different methods for producing the same substance. This study highlighted the value of a dedicated PBL approach with adequate resources to foster discussions and understanding. However, elective courses often attract only those already familiar with the subject, limiting broader engagement and field expansion. Disparities in case material quality, particularly for bio-based butylene glycol and acetanilide production, underscored the need for well-structured resources. Future research should include larger sample sizes for statistical validation and more class time for discussions and supplemental activities. This study contributes to the literature on active learning strategies, showcasing PBL’s potential to enhance sustainable chemical education.
Kullback–Leibler Divergence-Based Distributionally Robust Chance-Constrained Programming for PV Hosting Capacity Assessment in Distribution Networks
Authors: Shen Chao , Liu Haoming , Wang Jian , Yang Zhihao , Hai Chen
Published: February 2025

This paper addresses the challenge of assessing photovoltaic (PV) hosting capacity in distribution networks while accounting for the uncertainty of PV output, a critical step toward achieving sustainable energy transitions. Traditional optimization methods for dealing with uncertainty, including robust optimization (RO) and stochastic optimization (SO), often result in overly conservative or optimistic assessments, hindering the efficient integration of renewable energy. To overcome these limitations, this paper proposes a novel distributionally robust chance-constrained (DRCC) assessment method based on Kullback–Leibler (KL) divergence. First, the time-segment adaptive bandwidth kernel density estimation (KDE) combined with Copula theory is employed to model the conditional probability density of PV forecasting errors, capturing temporal and output-dependent correlations. The KL divergence is then used to construct a fuzzy set for PV output, quantifying its uncertainty within specified confidence levels. Finally, the assessment results are derived by integrating the fuzzy set into the optimization model. Case studies demonstrate its effectiveness of the method. Key findings indicate that higher confidence levels reduce PV hosting capacities due to broader uncertainty ranges, while increased historical sample sizes enhance the accuracy of distribution estimates, thereby increasing assessed capacities. By balancing conservatism and optimism, this method enables safer and more efficient PV integration, directly supporting sustainability goals such as reducing fossil fuel dependence and lowering carbon emissions. The findings provide actionable insights for grid operators to maximize renewable energy utilization while maintaining grid stability, advancing global efforts toward sustainable energy infrastructure.
Recent Developments in Individual Difference Research to Inform the Adoption of AI Technology
Authors: Symasek Luke , Yeazitzis Taylor , Weger Kristin , Mesmer Bryan
Published: February 2025

Artificial intelligence (AI) technology has become one of the most frequently discussed subjects in the development of technology in recent years. Due to its incredible pattern recognition, it can help humans complete work much faster than before with little to no monetary cost. Despite the widespread impact that AI technologies have on various fields, acceptance and adoption of AI lag behind because of a wide range of factors among users. This paper outlines the results of a large literature review that attempts to tease out some of these factors by examining individual differences that may impact the acceptance and adoption of AI. This goal was achieved through an exploration of individual differences that play a role in the acceptance and adoption of new technologies more broadly, as well as AI technologies, to gain a more holistic understanding of the factors contributing to the lack of acceptance and adoption of AI. The main goal of this literature review was to find the individual differences (IDs) associated with the acceptance and adoption of AI technology and general technology. A secondary goal was to create a model based on the acceptance of general technology that could assist in future AI technology research, development, and implementation. This paper identifies several IDs that were found to play a role in the adoption and acceptance of AI technology, as well as 15 specific IDs that were commonly shown to play a role in the adoption and acceptance of general technology. Because of the rapid development of AI technologies in recent years, there is a lack of research examining the acceptance and adoption of AI technologies; however, there is a great deal of research examining the broader acceptance and adoption of technology, and there is significant overlap between the studies that examined general technology acceptance and adoption and those that examined AI-specific technology acceptance and adoption. Because of this, we believe that the research on general technology acceptance and adoption can be used as a foundation and inspiration for future research on AI technology in this area.
Four-Dimensional Dual-Energy Computed Tomography-Derived Parameters and Their Correlation with Thyroid Gland Functional Status
Authors: Scheepers Max H. M. C. , Al-Difaie Zaid J. J. , Bouvy Nicole D. , Havekes Bas , Postma Alida A.
Published: February 2025

Purpose: Dual-energy computed tomography (DECT) allows for the measurement of iodine concentration, a component for the synthesis of thyroid hormones. DECT can create virtual non-contrast (VNC) images, potentially reducing radiation exposure. This study explores the correlations between thyroid function and iodine concentration, as well as the relationship between thyroid densities in true non-contrast (TNC) and virtual non-contrast (VNC) images and thyroid function. Methods: The study involved 87 patients undergoing 4D-CT imaging with single and dual-energy scans for diagnosing primary hyperparathyroidism. Thyroid densities and iodine concentrations were measured across all scanning phases. These measurements were correlated with thyroid function, indicated by TSH and FT4 levels. Differences in thyroid density between post-contrast phases and TNC phases (ΔHU) were analyzed for correlations with thyroid function and iodine concentrations. Results: Positive correlations between iodine concentrations and TSH were found, with Spearman’s coefficients (R) of 0.414, 0.361, and 0.349 for non-contrast, arterial, and venous phases, respectively. Thyroid density on TNC showed significant positive correlations with TSH levels (R = 0.436), consistently across both single- (R = 0.435) and dual-energy (R = 0.422) scans. Thyroid densities on VNC images did not correlate with TSH or FT4. Differences in density between contrast and non-contrast scans (ΔHU) negatively correlated with TSH (p = 0.002). Conclusions: DECT-derived iodine concentrations and thyroid densities in non-contrast CT scans demonstrated positive correlations with thyroid function, in contrast to thyroid densities on VNC scans. This indicates that VNC images are unsuitable for this purpose. Correlations between ΔHU and TSH suggest a potential link between the thyroid’s structural properties to capture iodine and its hormonal function. This study underscores the potential value of (DE-) CT imaging for evaluating thyroid function as an additional benefit in head and neck scans.
The Role of Quorum Sensing in Phage Lifecycle Decision: A Switch Between Lytic and Lysogenic Pathways
Authors: Shang Junjie , Wang Kehan , Zhou Qian , Wei Yunlin
Published: February 2025

Phages, the most abundant and diverse lifeforms on Earth, require strict parasitism for survival. During infection, temperate phages integrate both intracellular and extracellular host information to decide between lysis and lysogeny for replication. While various environmental and physiological factors influence the lysis–lysogeny decision, recent insights into phage–bacterium interactions reveal phages’ ability to communicate with and influence bacteria, leveraging the host’s quorum sensing system or small molecular signals. This article provides a succinct overview of current research advancements in this field, enhancing our understanding of phage–host dynamics and providing insights into bacteria’s multicellular behavior in antiviral defense.
Using Pilot Plants as a Didactic Resource to Facilitate the Acquisition of Technical Competences in the Urban Water Cycle in Vocational and Higher Education
Authors: Canut-Montalva Albert , Rizo-Maestre Carlos , Martínez-López Joaquín
Published: February 2025

The technical training associated with urban water cycle management has a markedly multidisciplinary character. In Spain, training in this field to cover the different professional profiles involved in urban water management ranges from specific intermediate and higher Vocational Education and Training Programmes to related subjects included in various university degrees, as well as specialised master’s degrees in a very specific discipline involved in water management. Paradoxically, the companies in the sector are finding it difficult to find intermediate and higher technicians with training in line with their current needs to meet the challenges they must face in order to manage the sewerage and supply networks as efficiently as possible. It is necessary to incorporate, in Vocational Education centres, innovative methods and means that facilitate the acquisition of the skills required by key sectors for sustainability, such as urban water management. The incorporation of resources that help students to understand complex concepts in this field through the operation of pilot-scale equipment and installations that simulate those they will encounter in their professional performance can be of great value in facilitating the acquisition of the desired competences. In this work, a bibliographical review of the use of pilot plants for teaching purposes, in relation to technical aspects involved in the field of urban water management circumscribed to urban supply and sanitation networks, is carried out in order to assess the degree of their implementation as a training resource, which aspects are most frequently addressed, and the contribution they make to the improvement of teaching–learning processes.
DYNAMICS OF GROWTH AND HEALTH CONDITION OF NORWAY MAPLE PLOTS WITH DIFFERENT TRAFFIC INTENSITY IN KHARKIV
Authors: Zinchenko O. , Shvydenko I. , Кharchenko L.
Published: February 2025

The article presents the results of a study conducted in 2016-2024 in two groups of Norway maple trees (Acer platanoides L.) located at a distance of about 300 m from each other. The trees of one group were planted along the avenue and are constantly exposed to vehicle emissions. The trees of the second group grow in intra-block plantings (yards). The study aims to identify trends in changes in these plantings’ diameter and health condition. At the beginning of the study (in 2016), trees in the surveyed plantings were affected by verticillium wilt (pathogen Verticillium dahliae), black leaf spot (pathogen Rhytisma acerinum) and inhabited by the green borer (Agrilus viridis). The prevalence of all types of damage was higher on the avenue with intensive traffic than in intra-block plantings, and the prevalence of spotting was the highest. Due to the dry conditions of 2017-2019, the development of verticillium wilt ceased in subsequent years.For 2016-2024, the diameter increased in both plantings and was significantly larger in the intrablock plantings than on the avenue. During the study period, the health of the trees worsened in both plantings. In 2016, 2020, and 2024, the health condition index was significantly higher on the avenue. Less growth and worse health of maples on the avenue compared to intra-block plantings are associated with the negative impact of vehicle emissions on trees growing on the avenue.The probability of maples’ health deteriorating and improving depending on their place of growth and initial health condition was calculated. The data obtained will allow optimal decisions on the necessary economic measures.
Місце соціальної функції держави в системі функцій держави
Authors: Яворська Н. О.
Published: February 2025

Стаття присвячена з’ясуванню місця соціальної функції держави в системі функцій сучасної держави. На підставі критичного аналізу сутнісного змісту соціальної функції сучасної держави доводиться, що для цієї функції держави характерним можна вважати наступне: регулюється та визначається чинним законодавством; є систематичним і цілеспрямованим впливом (переважно суб’єктів владних повноважень) на суспільні відносини (і сторін цих відносин) у соціальній сфері; пов’язується із реалізацією соціально орієнтованих завдань держави; передбачає власне динамічне відображення в об’єктивній дійсності, що досягається шляхом її реалізації відповідним колом суб’єктів; динамічний вираз об’єктивується у конкретних формах, а також з використанням певних способів та із застосуванням конкретних засобів здійснення дій та прийняття управлінських рішень в соціальній сфері. У контексті концепції поділу функцій держави на основні та додаткові, автором обґрунтовується позиція, що конкретизація місця соціальної функції держави у системі функцій держави безпосереднім чином залежить від того, на якому етапі свого розвитку перебуває держава. При цьому в сучасній соціальній державі прогресивного типу соціальна функція є основною функцією такої держави, а також такою, що корелює всі функції такої соціальної держави. Натомість у сучасній Україні, яка є соціальною державою згідно Конституції, проте, в дійсності не в повній мірі може відповідати усім ознаками сучасної соціальної держави прогресивного типу. Для вирішення проблеми неоднозначності визначення місця соціальної функції держави пропонується враховувати динаміку незворотної десоціалізації політики держави, що спостерігається останнє десятиріччя, а разом із тим – розширення обсягів впливу держави на соціальну сферу. З огляду на це, у висновках до статті зауважується, що попри формальне визнання соціальної функції держави як однієї з провідних функцій держави, в дійсності її фактичне місце в системі функцій держави є другорядним у порівнянні з такими функціями держави як оборонна, правоохоронна, а також економічна функції.
As crenças nórdicas pré-cristãs: aspectos gerais e conceituais
Authors: Alves Glezia
Published: February 2025

Este artigo propõem uma breve compreensão dos povos nórdicos em seu contexto social, cultural e espacial. Entre as premissas apresentadas será englobado especialmente a Era Viking, período este, desenvolvido entre o século VIII ao XI. Entretanto o recorte principal está pautado no século XIII devido a datação das Eddas. Nesse recorte sincrônico, descreveremos as principais atividades vividas entre os povos pré-cristãos em que refletem elementos de mudanças político-sociais significativas até as interações cotidianas entre os povos cristãos, suas percepções ideológicas, as manifestações políticas vivenciadas e até mesmo como o espaço era ocupado por eles. Para tanto, o artigo enfoca a compreensão dos mitos pelos nórdicos, quais seus significados e símbolos, quais as divindades eram cultuadas, além de descrever como as fontes primárias estão interligadas à maneira a qual os nórdicos expressavam suas crenças antigas: na sua forma inicial (mítica), ou seja, a forma de dramatização do sagrado nórdico.
Pesquisa bíblica na Ciência da Religião: métodos e possibilidades
Authors: Salomão Silva Daniel , Rodrigues Elisa , Da Silva Carmo Matheus
Published: February 2025

A História das Religiões, enquanto um dos fundamentos da Ciência da Religião, partiu da histórica eclesiástica e dos estudos bíblicos para se constituir como disciplina diversificada em abordagens e perspectivas de análise, especialmente no século XIX. Considerando a consolidação do campo de estudos da religião no Brasil, parece-nos importante um olhar que reconheça essa trajetória e seus desdobramentos na atualidade, visto que o legado da abordagem histórico-crítica da literatura bíblica está na base de outras abordagens mais recentes, ainda que com limitações reconhecidas. Dentre o conjunto de abordagens que vieram após o método histórico-crítico, destacam-se o método de exegese indiciário e a análise narrativa. O primeiro busca por meio da análise dos indícios presentes no texto pesquisado chegar ao entendimento das intenções históricas, sociais, ideológicas e religiosas do(a) autor(a) do texto no momento em que ele foi escrito. A análise narrativa ou narratologia, por sua vez, se orienta prioritariamente pelo(a) leitor(a), considera o efeito da narrativa sobre ele(ela) e a maneira como o texto o(a) faz cooperar no deciframento do sentido. O objetivo desse texto é descrever a aplicabilidade desses métodos e sua importância em meio às pesquisas bíblicas atuais.
Fundamento e Linguagem
Authors: Mendes Danilo , Souto Felipe de Queiroz
Published: February 2025

Qual o fundamento da linguagem? Partindo desta questão, Agostinho em sua obra De Magistro e Agambem em seu seminário sobre A linguagem e a morte tentam articular uma resposta. Enquanto Agostinho se mantém num argumento teológico e aponta este fundamento no Mestre, o próprio Deus que sustenta a linguagem; Agamben articula uma reflexão heideggeriana para pensar a ausência de fundamento da linguagem e a manutenção da sua pendência. Embora os autores estejam em tempos tão distantes e filosofam de forma diferente entre si, ambos estão pensando sobre o mesmo problema e este é o fio condutor deste artigo. Para concentrar a objetividade da discussão, utilizamos os textos apresentados de Agostinho e Agamben e da hermenêutica filosófica para o desenvolvimento do debate.
By a Lady: A escrita incógnita de Elizabeth Eastlake
Authors: Madeiro Fátima
Published: February 2025

A trajetória de Elizabeth Eastlake como escritora foi estabelecida a partir de tipologias textuais consideradas menos eruditas, caso dos textos para revistas literárias, catálogos de galerias, prefácios, manuais técnicos e, em grande medida, a tradução de textos. A escrita anônima também foi um recurso largamente usado pela autora em grande parte de sua carreira. Essas foram algumas das estratégias de Elizabeth para acessar o universo erudito de seu tempo. Interessa a esta pesquisa as correspondências que tratam da relação da autora com a cultura germânica, suas viagens à Alemanha e seu estabelecimento como crítica de arte a partir da tradução de textos. Elizabeth Eastlake foi uma erudita atuante no contexto europeu, mas ainda é pouco conhecida e estudada no Brasil. O percurso dessa escritora pode contribuir com a ampliação de perspectivas sobre a profissionalização das mulheres na literatura e na escrita sobre arte do final dos oitocentos.
A questão Christie e as representações do diplomata inglês na Semana Illustrada
Authors: Fernandes Bárbara Ferreira
Published: February 2025

No presente artigo, analisamos as imagens do representante britânico no Brasil, William Christie, veiculadas pela revista Semana Illustrada, no contexto da Questão Christie, bem como, a breve repercussão que o assunto teve na Inglaterra. O diplomata foi retratado pelo periódico como ganancioso e desajustado e a sua imagem foi utilizada por Fleuss e sua equipe como forma de retratar o “outro”, reforçando a soberania nacional.
Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning
Authors: AlZoubi Wael , Hatamleh Hazem
Published: February 2025

Multicasting in Internet of Things (IoT) includes transfer data from one source to multiple destinations instantaneously. One major issue is the lack of standardized procedures leading to interoperability problems and potential weaknesses in diverse IoT systems. To consider above mentioned limitation this investigate discovers the application of Artificial Intelligence (AI) methods to revolutionize numerous facets of multicast management. Initially, adaptive multicast group management influences real-time data on user mobility and scheme settings through sensors and monitoring tools. Using Deep Q-Networks (DQN) accomplished with Self Organizing Map and Particle Swarm Optimization (SOM-PSO). Secondly, AI-driven resource allocation hires Deep Reinforcement Learning (DRL) to examine traffic patterns and current network loads unceasingly. Third, predictive analytics for multicast traffic demand participates historical data and contextual information by means of the Dynamic Threshold Algorithm with Multi-Link Communication (DTA-MLC). Enhanced edge caching strategies apply Context-aware Long Short-Term Memory models with Graph Neural Networks (C-ALSTM-GNN) to forecast content demand at network edges. Finally, AI-based multicast routing procedures develop Efficient Quality of Service (QoS) Multicast (EQM) trees to enhance routing paths founded on real-time network topology and traffic conditions. The recommended work is implemented by means of network simulator 3.26, and the efficiency of the proposed model is addressed utilizing several performance metrics such as latency, energy efficiency, throughput, packet delivery ratio, traffic prediction rate. The proposed method achieves latency with 32 ms, energy efficiency with 93%, Traffic Prediction rate 96%, throughput with 342 kbps and PDR with 96%
Leveraging Chicken Swarm Algorithm for Feature Selection Optimization Targeting Efficient Patients Backlog Elimination
Authors: Bouazizi Emna , E. Khedr Ayman , M. Idrees Amira
Published: February 2025

The exponential growth of data sources brings the challenge of maintaining the processing performance and reducing computation complexity. One of the vital solutions is the success in preserving the significant attributes. Consequently, this research focuses on proposing an effective method for feature selection which is based on the adaptation of the chicken swarm optimization algorithm. The research focuses on adapting the algorithm strategy in the process of searching the data space from random-based strategy to a more systematic method which ensures raising the algorithm performance. The study proposes a novel search strategy based on applying an effective clustering technique to effectively identify the main algorithm players which consequently enhance the algorithm performance. On the other hand, focusing on business objectives, this research proposes a novel framework that focuses on the patients’ backlogs. The study applies the proposed enhancement to eliminate the patients’ backlog while maintaining the prioritization. The proposed framework is generic and could be applied to the concept of backlogs in any domain. The experiment succeeded in confirming the applicability of the proposed adaptation for the chicken swarm optimization algorithm and reaching the business goal with a minimum accuracy percentage equal to 95.3% for random forest and a maximum of 98.9 for naive Bayes
Constitutive Artificial Neural Network for the Construction of an English Multimodal Corpus
Authors: Li Junhua , Li Yuehua , Han Lihao
Published: February 2025

Multimodal corpus is a novel multimedia teaching tool in social development and educational reform process. It uses a range of multimedia components to build a wide-ranging English corpus and is mostly focused on computer and network technologies. The use of corpus in multimodal English-Chinese instruction is growing. The meaning, usage, and set of English and Chinese multimodality will be better understood with the aid of contemporary information technology, which will also enhance the initiative of autonomous learning. This paper builds a Multimodal English Corpus created on optimized-Constitutive Artificial Neural Network-Honey Badger Algorithm (MEC-CANN-HBA). The input data is collected via the dataset of Gutenberg Literary English Corpus (GLEC). The data are fed to pre-processing to remove the noise and enhance the input data utilizing Multivariate Fast Iterative Filtering (MFIF). The pre-processing output is given to the Feature extraction segment. The three significant features, such as text, audio and video are extracted based on Deep Wavelet Scattering Transform (DWST). After that, the extracted features are given to the multimodal fusion vector. The multimodal feature vectors are employed as the input data for categorization and to obtain the English poetry feature representation that integrates context characteristics. Finally, the features of output are used as the input data of Constitutive Artificial Neural Network (CANN) effectively categorizes as ideographic, phonetic, rhetorical and contextual. Honey Badger Algorithm (HBA) utilized for improving the weight parameter of CANN to check the classification of English poetry is current utterance. The proposed MEC-CANN-HBA approach attains 24.36%, 23.42%, 30%, 10.25% and 16.27% higher accuracy, and 26.61%, 28.50%, 23%, 18.33% and 21.24% greater precision rate, compared with existing methods, like Construction for Multiple Modal Corpus of College Students’ Spoken English Using Semantic Concepts (CMC-CSSE-SC), Construction of multimodal poetry translation corpus under AdaBoost method (CMPTC- AdaBoost),Construction with Application of English-Chinese Multimodal Emotional Corpus utilizing Artificial Intelligence (CECMC-AI) respectively
Microcarcinoma papilífero em tireoide ectópica lingual: um relato de caso
Authors: Costa Maria Beatriz Pedrett , Chalub Sidney Raimundo Silva , Cohen Marcus Assayag , Andrade Eduardo Antônio Barbosa de , Soares Aria Carolina Coutinho Xavier
Published: February 2025

Introdução: O termo “tireoide lingual” é uma entidade clínica rara, que se refere a uma anomalia da glândula tireoide, na qual esta passa a se localizar na base da língua devido uma falha no processo de embriogênese, sendo o diagnóstico de neoplasias neste contexto ainda mais incomum. Objetivo: Descrever o caso clínico de uma paciente jovem, do sexo feminino, submetida à ressecção trans-oral de tireoide ectópica lingual, com achado incidental de microcarcinoma papilífero no estudo anatomopatológico da peça cirúrgica. Metodologia: O estudo é do tipo relato de caso. Resultados: Paciente do sexo feminino, 37 anos, com queixas de disfagia e desconforto em orofaringe. Realizou cintilografia com iodo, sendo diagnosticada tireoide lingual. Realizada exérese da lesão via transoral. Apresentou sangramento importante no pós-operatório que foi controlado com tratamento clínico. Histopatológico da peça cirúrgica evidenciando microcarcinoma papilífero. Optado por iodoterapia adjuvante. Conclusão: A considerar que o presente estudo traz a descrição de patologia rara e, portanto, pouco discutida cientificamente, espera-se que o trabalho contribua para as futuras discussões acercas de neoplasias encontradas em tireoides linguais.
Uma vilã obstétrica: a diabetes mellitus na gestação associada ao desenvolvimento de cardiopatias congênitas no feto
Authors: Nóbrega Gustavo William Medeiros da , Silva Isabela Barros da , Wanderley Maria Izadora Brito , Gama Maria Luíza Villar , Alves Victória Estrela Delfino , Souza Alysson Kennedy Pereira de , Arruda Isabela Tatiana Sales de , Sousa Daniela Heitzmann Amaral Valentim de
Published: February 2025

A hiperglicemia, característica do diabetes mellitus (DM), frequentemente resulta em alterações na formação embrionária cardiovascular, devido a seus efeitos teratogênicos, contribuindo para o desenvolvimento de cardiopatias congênitas no feto. Diante disso, o presente artigo buscou investigar a correlação entre o diabetes na gestação e a evolução de disfunções cardíacas fetais, a fim de possibilitar o embasamento de profissionais da saúde e impulsionar pesquisas direcionadas à compreensão dessa correlação patológica. Para tanto, conduziu-se uma revisão sistemática de literatura baseada nos artigos dos últimos cinco anos. Assim, observou-se que bebês nascidos de mães diabéticas possuem maior risco estatístico de malformações embrionárias. Achados da ecocardiografia sugeriram um aumento de incidência de 8,4% de deformidades cardíacas entre neonatos de mães com DMG e de 42,8% em recém-nascidos de mães com diabetes pré-existente. Concluiu-se, portanto, que a hiperglicemia pode ser causa teratogênica primária das DCCs, pelo fato da sua presença, no início da embriogênese cardiovascular, favorecer a ocorrência das cardiopatologias.