bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the Influence of Different Reference Models on Recovering Gravity Anomalies from Satellite Altimetry
Authors: Han Yu , Qin Fangjun , Wei Hongwei , Zhu Fengshun , Qian Leiyuan
Published: October 2024

A satellite altimetry mission can measure high-precision sea surface height (SSH) to recover a marine gravity field. The reference gravity field model plays an important role in this recovery. In this paper, reference gravity field models with different degrees are used to analyze their effects on the accuracy of recovering gravity anomalies using the inverse Vening Meinesz (IVM) method. We evaluate the specific performance of different reference gravity field models using CryoSat-2 and HY-2A under different marine bathymetry conditions. For the assessments using 1-mGal-accuracy shipborne gravity anomalies and the DTU17 model based on the inverse Stokes principle, the results show that CryoSat-2 and HY-2A using XGM2019e_2159 obtains the highest inversion accuracy when marine bathymetry is less than 2000 m. Compared with the EGM2008 model, the accuracy of CryoSat-2 and HY-2A is improved by 0.6747 mGal and 0.6165 mGal, respectively. A weighted fusion method that incorporates multiple reference models is proposed to improve the accuracy of recovering gravity anomalies using altimetry satellites in shallow water. The experiments show that the weighted fusion method using different reference models can improve the accuracy of recovering gravity anomalies in shallow water.
Tree Completion Net: A Novel Vegetation Point Clouds Completion Model Based on Deep Learning
Authors: Ge Binfu , Chen Shengyi , He Weibing , Qiang Xiaoyong , Li Jingmei , Teng Geer , Huang Fang
Published: October 2024

To improve the integrity of vegetation point clouds, the missing vegetation point can be compensated through vegetation point clouds completion technology. Further, it can enhance the accuracy of these point clouds’ applications, particularly in terms of quantitative calculations, such as for the urban living vegetation volume (LVV). However, owing to factors like the mutual occlusion between ground objects, sensor perspective, and penetration ability limitations resulting in missing single tree point clouds’ structures, the existing completion techniques cannot be directly applied to the single tree point clouds’ completion. This study combines the cutting-edge deep learning techniques, for example, the self-supervised and multiscale Encoder (Decoder), to propose a tree completion net (TC-Net) model that is suitable for the single tree structure completion. Being motivated by the attenuation of electromagnetic waves through a uniform medium, this study proposes an uneven density loss pattern. This study uses the local similarity visualization method, which is different from ordinary Chamfer distance (CD) values and can better assist in visually assessing the effects of point cloud completion. Experimental results indicate that the TC-Net model, based on the uneven density loss pattern, effectively identifies and compensates for the missing structures of single tree point clouds in real scenarios, thus reducing the average CD value by above 2.0, with the best result dropping from 23.89 to 13.08. Meanwhile, experiments on a large-scale tree dataset show that TC-Net has the lowest average CD value of 13.28. In the urban LVV estimates, the completed point clouds have reduced the average MAE, RMSE, and MAPE from 9.57, 7.78, and 14.11% to 1.86, 2.84, and 5.23%, respectively, thus demonstrating the effectiveness of TC-Net.
DBSF-Net: Infrared Image Colorization Based on the Generative Adversarial Model with Dual-Branch Feature Extraction and Spatial-Frequency-Domain Discrimination
Authors: Li Shaopeng , Ma Decao , Ding Yao , Xian Yong , Zhang Tao
Published: October 2024

Thermal infrared cameras can image stably in complex scenes such as night, rain, snow, and dense fog. Still, humans are more sensitive to visual colors, so there is an urgent need to convert infrared images into color images in areas such as assisted driving. This paper studies a colorization method for infrared images based on a generative adversarial model. The proposed dual-branch feature extraction network ensures the stability of the content and structure of the generated visible light image; the proposed discrimination strategy combining spatial and frequency domain hybrid constraints effectively improves the problem of undersaturated coloring and the loss of texture details in the edge area of the generated visible light image. The comparative experiment of the public infrared visible light paired data set shows that the algorithm proposed in this paper has achieved the best performance in maintaining the consistency of the content structure of the generated image, restoring the image color distribution, and restoring the image texture details.
High-Quality Image Compression Algorithm Design Based on Unsupervised Learning
Authors: Han Shuo , Mo Bo , Zhao Jie , Xu Junwei , Sun Shizun , Jin Bo
Published: October 2024

Increasingly massive image data is restricted by conditions such as information transmission and reconstruction, and it is increasingly difficult to meet the requirements of speed and integrity in the information age. To solve the urgent problems faced by massive image data in information transmission, this paper proposes a high-quality image compression algorithm based on unsupervised learning. Among them, a content-weighted autoencoder network is proposed to achieve image compression coding on the basis of a smaller bit rate to solve the entropy rate optimization problem. Binary quantizers are used for coding quantization, and importance maps are used to achieve better bit allocation. The compression rate is further controlled and optimized. A multi-scale discriminator suitable for the generative adversarial network image compression framework is designed to solve the problem that the generated compressed image is prone to blurring and distortion. Finally, through training with different weights, the distortion of each scale is minimized, so that the image compression can achieve a higher quality compression and reconstruction effect. The experimental results show that the algorithm model can save the details of the image and greatly compress the memory of the image. Its advantage is that it can expand and compress a large number of images quickly and efficiently and realize the efficient processing of image compression.
Management of Citrus Cultivation in Emerging Rural Communities in Mexico: Practices and Challenges in the Central-Northern Region of Veracruz
Authors: Fernández-Echeverría Eduardo , Lavoignet-Ruiz Marieli , García-Santamaría Luis Enrique , Fernández-Lambert Gregorio , Ruvalcaba-Sánchez Loecelia , Bautista-Santos Horacio , Sánchez-Galván Fabiola , Romero-Romero Yair
Published: October 2024

The central-northern region of Veracruz has experienced significant changes in traditional coffee cultivation and cattle raising due to the increased demand for fresh and industrialized citrus products. However, there is a lack of understanding regarding the use of agrochemicals in citrus production, driven by the belief that “more is better” and a limited awareness of responsible agricultural practices. This research examines citrus crop management in rural communities, focusing on farming practices aimed at improving production by controlling pests and diseases. Data for this study were collected from 51 producers through in-person surveys, using a 48-item questionnaire and the snowball sampling method. The findings reveal that despite 20 years of development, citrus production is still not fully established, and the excessive use of agrochemicals remains widespread. The expansion of citrus groves in the study region has altered the agricultural landscape and the socioeconomic structures of rural communities. Furthermore, environmental concerns about chemical residues in the fruit limit their commercialization and harm the environment through runoff into groundwater and water bodies. To address these issues, it is crucial to raise awareness and guide farmers toward the responsible use of chemicals in citrus cultivation, ensuring sustainable production and mitigating negative environmental impacts in all communities where citrus is grown.
Assessing the Resilience of Critical Infrastructure Facilities toward a Holistic and Theoretical Approach: A Multi-Scenario Evidence and Case Study
Authors: Irankunda Georges , Zhang Wei , Fernand Muhirwa , Zhang Jianrong
Published: October 2024

Given the increasing frequency of natural disasters, which result in substantial damage to critical infrastructures and disrupt the functioning of modern societies, numerous studies have been conducted in recent decades to propose sustainable preventive and enhancement measures to safeguard the environmental and societal development. This paper contributes to the existing literature by introducing a novel environmentally conscious infrastructural resilience assessment approach named the Novel Infrastructure Resilience Assessment Curve (NIRAC). Unlike past works which typically focused on a single infrastructure scenario, the NIRAC is conceptualized around multi-scenario resilience assets, integrating sustainable principles to enhance environmental resilience. Additionally, this paper presents a road infrastructure resilience assessment (RIRA) framework, developed from factors and dimensions pertinent to road infrastructure resilience and environmental sustainability. The RIRA framework is applied to a case study of a road damaged by heavy rains, emphasizing the need for sustainable recovery efforts which minimize environmental impact. The results demonstrate the effectiveness of the RIRA framework in guiding road recovery efforts. The insights provided in this paper are valuable for disaster managers and policymakers, as they extend their resilience assessment knowledge with a focus on sustainable development and environmental protection. This expanded knowledge facilitates the implementation of appropriate interventions to prevent and mitigate the societal consequences of disasters more efficiently.
Innovation Eco-Embeddedness, Breakthrough Innovation, and Performance of Non-Core Firms: A Mediation Moderation Study
Authors: Shawesh Mohamed , Iyiola Kolawole , Alzubi Ahmad
Published: October 2024

In today’s rapidly evolving business landscape, non-core firms face increasing pressure to innovate while adhering to sustainable practices. Non-core firms are organizations that operate in peripheral or less central positions within an ecosystem, having limited access to critical resources but playing essential supportive roles in innovation processes. Innovation eco-embeddedness, which integrates ecological considerations into innovation processes, is becoming a critical factor for enhancing innovation performance. However, the dynamics between eco-embeddedness, breakthrough innovation, and innovation performance, especially under varying levels of ecological legitimacy and technology turbulence, remain under examination. This study aims to investigate the relationships between innovation eco-embeddedness, breakthrough innovation, and innovation performance in non-core firms. Additionally, it examines the moderating effects of ecological legitimacy and technology turbulence on these relationships. This study developed and tested seven hypotheses using a conceptual framework based on innovation ecosystem theory, breakthrough innovation theory, and institutional theory. We collected data from a diverse sample of non-core firms and used structural equation modeling to analyze the direct, mediating, and moderating effects. The findings reveal a positive relationship between innovation eco-embeddedness and both breakthrough innovation and innovation performance. Breakthrough innovation also directly enhances innovation performance and mediates the relationship between eco-embeddedness and performance. Ecological legitimacy significantly moderates the impact of eco-embeddedness on breakthrough innovation, while technology turbulence intensifies the mediated relationship between eco-embeddedness and innovation performance when both moderating factors are high. This study provides valuable perceptions for managers and policymakers in non-core firms, highlighting the importance of embedding ecological considerations in innovation processes.
A Typology of Pro-Environmental Behaviors: Demographic Correlates and Reasons for Limited Public Engagement in Pro-Environmental Behaviors
Authors: Ayalon Liat
Published: October 2024

The study identified a typology of pro-environmental behaviors in relation to demographic correlates and reasons for lack of engagement. A total of 647 Israelis completed the survey. Latent class analysis identified three subgroups based on the degree of engagement in pro-environmental behaviors. The least engaged subgroup tended not to worry about the changing climate and not to view pro-environmental behaviors as within its responsibility. In contrast to the more engaged groups, this group was the least likely to state that limited information or unclear knowledge about the changing climate prevented them from engaging in pro-environmental behaviors. The study points to different methods that should be used to increase engagement in pro-environmental behaviors based on already existing levels of engagement.
Improving the Door-To-Door Customer Journey for a National Public Transport Company
Authors: Kennedy Fintan , White P.J. , Dempsey Hilary
Published: October 2024

(1) Background: Public transport has a vital role to play in creating sustainable, accessible societies. Accessible and inclusive, door-to-door public transport systems with low barriers to use benefit everyone, increasing the mobility of citizens and improving independence. As the industry strives towards multi-modal and Mobility as a Service (MaaS) concepts, there is a need to delve deep into the needs and perceptions of transport user’s door-to-door journeys to find ways to improve. Accordingly, in order to increase the sustainability of MaaS, improving accessibility and understanding service user perceptions are of utmost importance. However, there is a scarcity of research within national transport services to determine unmet user needs to increase the accessibility and autonomy of door-to-door journeys. This research aims to investigate if it is possible to improve the door-to-door journey experience for public transport travellers, increasing the accessibility and the perception of autonomy via technology, and by doing so, providing a more sustainable alternative to road transport. It focuses on understanding service users of Ireland’s National Rail service, Irish Rail, to create key improvements in interactive systems. (2) Methods: The study applies a user-centred mixed-methods methodology using surveys (N = 316) and co-design workshops (four workshops N = 15). The research collected deep insights into the mindsets and needs of service users, showing the potential to improve this door-to-the-door customer journey. Key improvements for interactive systems were outlined. Experience maps were designed, leading to a Conceptual Design for a travel assistant to aid the service user throughout the door-to-door journey. (3) Results: Travellers’ autonomy and the sense of freedom they experience can be improved, mainly if their needs across the complete door-to-door customer journey are supported. Highlighted areas for action include information, accessibility, personal security, ticketing, comfort, facilities, and anxiety. (4) Conclusions: This research reiterates the need for national transport and MaaS providers to prioritise service users’ perspectives when developing sustainable services. Co-designing is recommended as a means of achieving this.
Fishing Declines as a Driver of Human Mobility
Authors: Márquez Lidia , García-Vázquez Eva , Dopico Eduardo
Published: October 2024

Nowadays, improved fishing technology and depleted stocks cause fishery shocks in sensitive regions that lead to job losses and added insecurity. In fishery-dependent communities, more and more fishers are moving countries looking for a living. This study aims to know the perception of migrants in Spain about the sustainability of fishing in their countries of origin and how this perception influenced their individual behaviors and their decision to move. To this end, 203 families from 32 countries differentially affected by fishery shocks in Africa and Latin America were interviewed face-to-face to quantify the perceived weight of fishery changes on their decision to move, compared with socioeconomic and security reasons. The perception of fishing declines and their importance as a cause of mobility were positively and significantly correlated. Our study highlights the important and unexplored link between human mobility and fishery depletion, supporting the idea that fishing declines—induced at least partially by climate change—are one of the causes of mobility.
Leveraging Green HRM to Foster Organizational Agility and Green Culture: Pathways to Enhanced Sustainable Social and Environmental Performance
Authors: Gazi Md. Abu Issa , Dhali Sabuj , Masud Abdullah Al , Ahmed Alsadig , Amin Mohammad Bin , Chaity Naznin Sultana , Senathirajah Abdul Rahman bin S , Abdullah Masuk
Published: October 2024

The purpose of this study is to understand Green Human Resource Management (GHRM) practices, considerations that facilitate Green Organizational Culture (GOC) and Organizational Agility (OA), and the connection between these factors and the social performance (SP) and environmental performance (EP) of businesses. The target population of the current study comprises a Bangladeshi organization (manufacturing, university and service). In this quantitative study, data were collected using structured questionnaires. The final sample consisted of 445 respondents, and the data were analyzed using the Structural Equation Modeling (SEM) technique. Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted to ensure the validity and reliability of the measurement model. The results show that social GHRM has a beneficial effect on social and environmental performance factors. This research also discovered employee’s ideas about GRRM, GOC OA, and improving an organization’s social and environmental performance for long-term growth. Our results show that hiring, teaching, evaluating, and rewarding employees in ways that avoid harming the natural world are all examples of HR management practices that help create a green workplace culture. This work adds to the resource-based view (RBV) and transitive leadership (TL) theory by showing the things that contribute to an organization’s green culture and agility help the link between social and environmental performance and green HRM practices. Organizations in Bangladesh can benefit greatly from the GHRM model that this study suggests, as OC and OA have a good effect on both society and the environment.
Efficiency Assessment of the Production of Alternative Fuels of High Usable Quality within the Circular Economy: An Example from the Cement Sector
Authors: Niekurzak Mariusz , Lewicki Wojciech , Wróbel Jacek
Published: October 2024

This article aims to present the mechanisms regulating the waste management system of one of the European countries that affect the cement industry. This publication analyses the possibility of using selected fractions of municipal and industrial waste as alternative fuels, including an analysis of ecological costs and benefits. The methodology includes the analysis of production data and the calculation of savings resulting from the use of alternative fuels. On this basis, ecological aspects were also indicated that should be taken into account when analyzing the profitability of the investment. Production data from an example Polish cement plant were used to analyze the research problem. Based on the guidelines of environmental standards and technical specifications, the parameters that PASr alternative fuels should meet were calculated in the company laboratory. This fuel type was then calculated in terms of emission intensity and production efficiency. The research results obtained in this paper study emphasize that the change in cement clinker production technology toward the use of waste raw materials and secondary fuels does not lead to an increase in heavy metal emissions to the extent that would justify qualifying cement as a material requiring systematic control of its harmful impacts on humans and the natural environment. The conclusions show that the use of alternative fuels reduces CO2 emissions and production costs, without negatively affecting the efficiency and production volume. The average energy requirement for the production of 1 ton of cement is approximately 3.3 GJ, which corresponds to 120 kg of coal with a calorific value of 27.5 MJ per kg. Energy costs account for 30–40% of the total cement production costs. Replacing alternative fuels with fossil fuels will help reduce energy costs, providing a competitive advantage for cement plants that use it as an energy source. The presented considerations can provide an answer to all interested parties, including representatives of the executive and legislative authorities, on what path the sector should follow to fit into the idea of sustainable building materials and the circular economy.
Aeromagnetic Data Analysis for Sustainable Structural Mapping of the Missiakat Al Jukh Area in the Central Eastern Desert: Enhancing Resource Exploration with Minimal Environmental Impact
Authors: Elhussein Mahmoud , Barakat Moataz Kh. , Alexakis Dimitrios E. , Alarifi Nasir , Mohamed Elsayed Said , Kucher Dmitry E. , Shokr Mohamed S. , Youssef Mohamed A. S.
Published: October 2024

This study integrates aeromagnetic data with geological information to develop a consistent interpretation of both shallow and deep structural frameworks at various depths in the Missiakat Al Jukh area, located in the Central Eastern Desert, Egypt. The research begins by processing reduced-to-the-north magnetic pole (RTP) anomalies, using Fast Fourier Transformation (FFT) techniques to distinguish between local residual structures and broader regional features. This multi-scale approach enables a more detailed understanding of the geological complexity in the region, revealing its subsurface structures. Advanced geophysical methods such as upward continuation, Euler deconvolution, source parameter imaging (SPI), and global particle swarm optimization (GPSO) were applied to further refine the determination of structural depths, offering critical insights into the distribution and orientation of geological features at varying depths. The study reveals dominant structural orientations aligned in the NNW-SSE, ENE-WSW, north–south, and east–west directions, reflecting the region’s complex tectonic history. This research is of great importance in terms of sustainability. By delivering detailed subsurface maps and providing more accurate depth estimates of basement rocks (between 0.6 and 1.3 km), it contributes to sustainable resource exploration in the region. A better understanding of the geological structure helps minimize the environmental impact of exploration by reducing unnecessary drilling and concentrating efforts on areas with higher potential. Additionally, the use of non-invasive geophysical techniques supports the transition toward more environmentally conscious exploration practices. The integration of these advanced methods promotes a more sustainable approach to mineral and resource extraction, which is crucial for balancing economic growth with environmental preservation in geologically sensitive areas. Ultimately, this work provides a thorough geological interpretation that not only aids future exploration efforts but also aligns with the global push for sustainable and eco-friendly resource management.
A Preliminary Study on Mitigation Techniques for 3D Deformation of Adjacent Buildings Induced by Tunnelling in Water-Rich Strata: A Case
Authors: He Wei , Kong Xiangxun , Tang Liang , Chen Wenli , Hu Wei , Chen Guanbin
Published: October 2024

Controlling the ground settlement and building deformation triggered by shield tunnelling, particularly within water-rich strata, poses a significant engineering challenge. This study conducts a finite element (FE) analysis focusing on the ground settlement and deformation of adjacent structures (with a minimum distance of 2.6 m to the tunnel) due to earth pressure balance (EPB) shield tunnelling. The analysis incorporates the influence of groundwater through a 3D fluid–solid coupling model. This study assesses the effects of tunnelling on the behaviour of nearby buildings and introduces two mitigation strategies: the vertical partition method and the portal partition method. Their effectiveness is compared and evaluated. Our findings reveal that the deformation curves of the stratum and the building are influenced by the accumulation and dissipation of pore pressure. The vertical partition method reduced surface settlement by approximately 70%, while the portal partition method further minimized building deformation but required careful application to avoid issues like uplift. Both methods effectively mitigate the impacts of tunnel construction, with the portal partition method offering superior performance in terms of material use and cost efficiency. This research provides a scientific foundation and technical guidance for similar engineering endeavours, which is vital for ensuring the safety of metro tunnel construction and the stability of adjacent buildings.
A Hybrid CNN-Transformer Model for Predicting N Staging and Survival in Non-Small Cell Lung Cancer Patients Based on CT-Scan
Authors: Wang Lingfei , Zhang Chenghao , Li Jin
Published: October 2024

Accurate assessment of N staging in patients with non-small cell lung cancer (NSCLC) is critical for the development of effective treatment plans, the optimization of therapeutic strategies, and the enhancement of patient survival rates. This study proposes a hybrid model based on 3D convolutional neural networks (CNNs) and transformers for predicting the N-staging and survival rates of NSCLC patients within the NSCLC radiogenomics and Nsclc-radiomics datasets. The model achieved accuracies of 0.805, 0.828, and 0.819 for the training, validation, and testing sets, respectively. By leveraging the strengths of CNNs in local feature extraction and the superior performance of transformers in global information modeling, the model significantly enhances predictive accuracy and efficacy. A comparative analysis with traditional CNN and transformer architectures demonstrates that the CNN-transformer hybrid model outperforms N-staging predictions. Furthermore, this study extracts the one-year survival rate as a feature and employs the Lasso–Cox model for survival predictions at various time intervals (1, 3, 5, and 7 years), with all survival prediction p-values being less than 0.05, illustrating the time-dependent nature of survival analysis. The application of time-dependent ROC curves further validates the model’s accuracy and reliability for survival predictions. Overall, this research provides innovative methodologies and new insights for the early diagnosis and prognostic evaluation of NSCLC.
Correction: Silva Julian et al. Severe COVID-19 Outcomes in Five Latin American Countries in the Postvaccination Era. Viruses 2024, 16, 1025
Authors: Silva Julian Guilherme , Spinardi Júlia , Diaz-Puentes Melissa , Buitrago Diana , García Ida Caterina , Kyaw Moe H.
Published: October 2024

In the original publication [...]
Hantavirus Research in Finland
Authors: Mustonen Jukka , Strandin Tomas , Tietäväinen Johanna , Pörsti Ilkka , Mäkelä Satu , Vaheri Antti
Published: October 2024

The articles in this Special Issue, “Hantavirus Research in Finland”, were published between 2021 and 2022 [...]
Immunological and Pathogenic Differences of Two Experimental Bluetongue Virus Serotype Infections Evaluated in Two Disparate Host Species
Authors: Westrich Joseph A. , McNulty Erin E. , Stoltz Madison , Sherman Tyler J. , Carpenter Molly , Burton Mollie , Nalls Amy , Rubio Hennio S. , Sandoval Audrey , Mayo Christie , Mathiason Candace K.
Published: October 2024

Bluetongue virus (BTV) is a prevalent midge-borne pathogen that infects ruminant species worldwide. BTV infections range from asymptomatic to lethal, with mechanisms that determine the severity of infection remaining largely undefined. Although it is relatively poorly understood, the immune response to BTV infection is thought to be critical for both the propagation of disease as well as the resolution of infection. To bridge this gap in knowledge, we infected cohorts of sheep and muntjac deer with two serotypes of BTV (BTV10 and BTV17) for longitudinal analysis (30 days). Interestingly, species-specific differences were observed. Circulating virus was detected early and remained detectable for the duration of the sheep study, while infections in muntjac showed faltering detection of BTV10 at 3 weeks post infection. The magnitude of the immune response was subdued in the muntjac when compared to the sheep cohorts, though similar responses were observed. We also assessed midge viral uptake and the ability to replicate BTV. Midges successfully fed on both species, yet those that fed on sheep resulted in more efficient BTV transmission. Our findings demonstrate that differences in BTV infections, immune responses, and vector competence across host species and serotypes will impact global BTV emergence and strategies for mitigation.
Outbreak of Western Equine Encephalitis Virus Infection Associated with Neurological Disease in Horses Following a Nearly 40-Year Intermission Period in Argentina
Authors: Vissani María Aldana , Alamos Florencia , Tordoya María Silvia , Minatel Leonardo , Schammas Juan Manuel , Dus Santos María José , Trono Karina , Barrandeguy María E. , Balasuriya Udeni B. R. , Carossino Mariano
Published: October 2024

Western equine encephalitis virus (WEEV) is a mosquito-borne arbovirus (genus Alphavirus, family Togaviridae) that has re-emerged in South America in late 2023, causing severe disease in both horses and humans after a nearly 40-year intermission period. We here describe the virological, serological, pathological, and molecular features of WEEV infection in horses during the 2023–2024 outbreak in Argentina. WEEV-infected horses developed neurological signs with mild to severe encephalitis associated with minimal to abundant WEEV-infected cells, as demonstrated by WEEV-specific in situ hybridization. The distribution of viral RNA was multifocal, with predominance within neuronal bodies, neuronal processes, and glial cells in the medulla oblongata and thalamic regions. Phylogenetic analysis of partial nsP4 sequences from three viral isolates obtained from three different provinces of Argentina support grouping with other temporally current WEEV strains from Uruguay and Brazil under a recently proposed novel lineage.
Effect of the Likelihood Function on the Calibration of the Effective Manning Roughness Factor
Authors: Cedillo Sebastián , Vázquez-Patiño Ángel , Sánchez-Cordero Andrés , Duque-Sarango Paola , Sánchez-Cordero Esteban
Published: October 2024

Hydrodynamic models (HMs) are tools for simulating flow behavior through the solution of conservation equations. These equations can have different degrees of simplification, which influence the model structure. One-dimensional (1D) HMs are still popular due to their simplicity. A crucial parameter for obtaining accurate 1D HM outputs is the effective Manning roughness factor (EMRF). The EMRF reflects additional numerical and dissipative aspects beyond boundary roughness. Although generalized likelihood uncertainty estimation (GLUE) is an important method for uncertainty analysis, it requires the selection of a likelihood function and a cutoff threshold. The goal of this study was to determine the effect of the likelihood function on the EMRF characteristics for mountain river morphologies, considering a certain cutoff threshold. The results show that the error model and the treatment of the residual in the objective function affect the EMRF range and limits in the studied reaches with a cascade or step pool. Furthermore, the analysis shows that these morphologies deviate from the model structure, which may affect the likelihood curve shape. Notably, the EMRF and measured roughness did not intersect in the studied reach with a plane bed, which is attributed to the presence of vegetation on the banks of that reach.
Optimization of cost-effectiveness and environmental impact in advanced membrane technologies for CO2 capture and utilization
Authors: Iliya Usman Umar , Mohammed Abdullahi Bappayo , Muhammad Aminu Labaran , Joshua Ajeigbe Feramni , Abubakar Musa Yahaya , Adam Ansar Bilyaminu
Published: October 2024

This research presents a comprehensive comparative study on advanced membrane technologies for CO2 capture and utilization, focusing on optimizing cost-effectiveness and minimizing environmental impact. The study examines Polymer, Mixed-Matrix, and emerging membrane technologies, with a particular emphasis on Ionic Liquid Membranes and MOF-based Membranes. Ionic Liquid Membranes demonstrate superior CO2 permeability and selectivity, making them ideal for high-purity applications, while MOF-based Membranes offer a balanced performance suitable for diverse conditions. Polymer Membranes emerge as the most cost-effective option upfront; however, their long-term viability is challenged by higher operational costs. Mixed-Matrix Membranes display moderate environmental impact, which could be further reduced by optimizing their fabrication processes. Notably, Electrochemical Membranes exhibit the lowest CO2 emissions, underscoring their environmental advantage. The findings underscore the necessity of advancing Polymer and Mixed-Matrix Membranes by enhancing their economic viability and reducing their carbon footprint. This study provides valuable insights for developing next-generation membrane technologies that harmonize performance, cost, and sustainability, thereby paving the way for more efficient and environmentally friendly CO2 capture and utilization processes.
Хроническое воспаление глазной поверхности при болезни сухого глаза: современные подходы к лечению
Authors: Ситник Г.В.
Published: October 2024

В статье представлен аналитический обзор литературы о проблеме диагностики и лечения болезни сухого глаза и ассоциированного с ней кератита (БСГ). Ключевым звеном патогенеза данного заболевания является хроническое воспаление глазной поверхности. Местное применение глазных капель, содержащих циклоспорин А, позволяет значительно улучшить результаты лечения этой тяжелой патологии и снизить риск осложнений.

The analytical review of the literature on the problem of diagnosis and treatment of dry eye disease and associated keratitis (DED) is presented in the article. The key point of the pathogenesis of this disease is a chronic inflammation of the ocular surface. Local use of the cyclosporine A eye drops can significantly improve the results of treatment of this severe pathology and reduce the risk of complications. Keywords: dry eye disease, cyclosporine, keratitis
Эпиретинальная мембрана у лиц молодого возраста (клинические случаи)
Authors: Щигарева С.О. , Егорова Е.Д. , Сидорова А.И. , Созуракова Е.А. , Башкатова И.А. , Баркова Н.Ю.
Published: October 2024

Эпиретинальный фиброз – это медленно прогрессирующая приобретенная патология органа зрения. Этиопатогенез и тактика лечения данной патологии хорошо изучены и описаны у пациентов пожилого и старческого возраста. В отечественной и зарубежной литературе найдено небольшое количество работ, посвященных эпиретинальной мембране среди лиц молодого возраста. Тактика лечения остается дискутабельным вопросом ввиду отсутствия у пациентов рассматриваемой возрастной категории субъективных жалоб и высоких зрительных функций. В настоящей работе описаны два клинических случая выявления эпиретинальной мембраны у молодых женщин.
Возможности УЗ-исследования при двусторонней эктопии хрусталика: клинический случай
Authors: Эксаренко О.В.
Published: October 2024

Эктопией хрусталика называют смещение (дислокацию) его со своего естественного местоположения. Различают полную дислокацию хрусталика – смещение в переднюю или заднюю камеры глаза, в результате чего возникает афакичный зрачок (люксация), и частичную, когда смещение не выходит за границы зоны хрусталика (сублюксацию). Эктопия хрусталика была впервые описана более 200 лет назад, но ее ценность как важного диагностического признака наличия других глазных и системных заболеваний была оценена лишь недавно. Патология носит наследственный или приобретенный характер, возникая из-за травматического повреждения, опухолей переднеувеальной области, увеличения глазного яблока вследствие выраженной миопии, гидрофтальма, перезрелой катаракты. В работе описан клинический случай 2-сторонней симметричной эктопии хрусталика. При проведении ультразвукового исследования глазного яблока мы визуализировали полную дислокацию хрусталика на обоих глазах.

Ectopic lens is the movement (dislocation) of the lens to its natural location. Determine complete dislocation of the lens – movement into the anterior or posterior chamber of the eye, resulting in an aphakic pupil (luxation) and partial dislocation, when the movement extends beyond the lens zone (subluxation). Ectopic lens was first described more than 200 years ago, but its value as an important diagnostic sign for the presence of other ocular and systemic diseases has only recently been appreciated. The pathology is hereditary or hereditary in nature, resulting from traumatic injury, tumors of the anterior uveal region, enlargement of the eyeball due to severe myopia, hydrophthalmos, and overripe cataracts. This article describes a clinical case of bilateral symmetrical ectopia of the lens. When conducting an ultrasound examination of the eyeball, we visualized complete dislocation of the lens in both eyes.
II.SUSTENTABILIDAD AMBIENTAL EN MATEMÁTICAS COMO EJE TRANSVERSAL
Authors: García Suárez María del Rosario García Suárez María del Rosario , Martha Guadalupe Escoto Villaseñor
Published: October 2024

RESUMEN Los ejes transversales incluidos en los programas de estudio contienen una filosofía de compromiso social que permiten favorecer y mejorar el desarrollo sostenible del planeta mediante la integración de la gestión ambiental y las políticas de inclusión social, a partir de promover la participación de los estudiantes y una formación integral que les fomente a ser socialmente responsables del entorno y conscientes del medio ambiente.Desde sus inicios, las matemáticas han seguido el desarrollo humano, se han propuesto y publicado grandes teorías y leyes que determinan el curso de la historia y son necesarias para comprender, describir y predecir el entorno a nivel social y cultural. En los tiempos actuales las matemáticas están presentes, si se habla de la creación y desarrollo de tecnologías tan cotidianas como el celular, la computadora y los softwares. La base de esta propuesta didáctica es presentar a las matemáticas y el medio ambiente unidos, para favorecer la conciencia sobre los problemas que afectan a la naturaleza y el medio ambiente provocado por el consumo y los residuos que se generan, Es puesta en marcha en el Nivel Medio Superior en la unidad de aprendizaje de Geometría Analítica, se integran ecuaciones y estimaciones del impacto del consumo actual y las afectaciones que causa cada individuo en el planeta, se plantea la necesidad de cambiar de una cultura consumista por una que fomente el consumo responsable y la necesidad de cuidar el medio ambiente.
Atlas heterodoxo de paisajes mestizos patrimoniales en el sistema costero de Villa Constitución
Authors: Asorey Gabriel Eduardo , Uriarte Rocío Daiana
Published: October 2024

Este artículo se funda en la investigación realizada para el proyecto de tesis de la Maestría en Arquitectura del Paisaje (Asorey, 2023), reconociendo las transformaciones que se sucedieron en el tiempo, desde el siglo XIX hasta nuestros días, en el borde costero de Villa Constitución, Puerto Las Piedras. Se aprecian las estructuras que conformaron el paisaje industrial, aun productivas en un puerto fragmentado. La construcción del pedraplén, para realizar a modo de dique el canal de navegación, genera un espacio sedimentario nuevo que es un humedal urbano, hoy Área Natural Protegida de este territorio, que se une a la isla Cafferata con la Unidad 1 del puerto actual y la ciudad.
Formulamos un Atlas heterodoxo a modo conclusivo de los paisajes mestizos (paisajes patrimoniales), híbridos, naturales, urbanos, productivos, arqueológicos e históricos, tangibles e intangibles que son parte también del paisaje social, de la memoria colectiva del territorio y de las sinergias que se producen entre la naturaleza y la construcción humana.
Esta herramienta dinámica llamada Atlas busca seguir ampliándose, valoriza el paisaje mestizo, para sus intervenciones futuras en el buffer de costa analizado, península-humedal, ciudad, territorio, región.
Desde Italia. Seis arquitecturas
Authors: Zermani Paolo
Published: October 2024

Proyectar en un país denso de estratificaciones como Italia implica asumir una responsabilidad hacia la comunidad. La tarea que debe emprender la arquitectura no puede expresarse obviamente en la búsqueda anacrónica de una reproposición de rasgos somáticos perdidos o extintos sino, por el contrario, como una conciencia del valor de nuestro patrimonio genético en el contexto occidental contemporáneo. Esta asunción de responsabilidad es necesaria no tanto para una afirmación autárquica de pertenencia, sino como una indicación de voluntad para el debate sobre el destino de la ciudad. Al describir las obras realizadas durante un período de aproximadamente treinta años en suelo italiano, se traza un camino de investigación compositiva destinado a situar el pasado, el presente y el futuro en un diálogo estimulante.
Analysis of current initial programs of palliative and hospice care in medical education of Ukraine
Authors: Nesterenko V.G.
Published: October 2024

The system of Palliative and Hospice Care (PHC) of Ukraine is in a state of active development in connection with the new system of financing under the program of medical guarantees, the legalization of medical cannabis. The intersection of the problems of PHC development with aspects of the reform of the primary link of medical care in Ukraine and the ability to ensure the safety of the vulnerable category of palliative patients in conditions of war are debatable. The PHC system does not yet have signs of full integration into the general health care system, there is no doctor for palliative medicine in the list of medical specialties, but in many medical education institutions of Ukraine curricula on palliative medicine have already been developed and implemented in the educational process. Based on the results of bibliosemantic search and systematic analysis of information, the work provides an assessment of existing programs based on the form of teaching and content. The analysis of literature data on the development of educational programs of palliative medicine made it possible to compile a list of questions that was accepted as a standard. The educational programs on palliative medicine, developed by medical education institutions of Ukraine, whose content is compared with the established standard, were analyzed. It was concluded that there are significant differences in the content of palliative medicine educational programs developed by various medical education institutions of Ukraine, which can be minimized in the case of developing a standard educational program. It has been established those practical skills of medical students in the treatment and care of immobile bedridden acquired during training in other clinical specialties have a positive effect on the results of training in the practical component of palliative medicine. It was also found that the unresolved issues of PHC organization in Ukraine are reflected in the content of educational programs in palliative medicine.

Keywords: teaching issues, specialty doctor for palliative medicine, typical curriculum.
La ciudadanía de las y los firmantes de la paz
Authors:   , Tamayo Calle Yeimy Leccett
Published: October 2024

La presente tesis doctoral analiza las tensiones, los retos y las dificultades que han tenido los y las Firmantes, tras el Acuerdo Final; lo cual, supone una transformación individual, social y política, que lleva a reconfigurar las narrativas y las cotidianidades de quienes antes vivían en la dinámica de la guerra y hoy se mueven en el plano de lo legal, con sus peripecias y burocracias. En este sentido, el paradigma de investigación elegido es el interpretativo y el enfoque es el cualitativo, bajo la metodología de estudio de casos; panorama metodológico que permite, no sólo comprender el qué y el para qué en el paso de combatiente armado a ciudadano/a, sino también identificar y analizar los puntos de quiebre de los actores intervinientes, los límites en la construcción de la ciudadanía y su detalle contextual. Para alcanzar dichos objetivos, se recurrió a la revisión de fuentes secundarias y a la construcción de fuentes primarias, dando protagonismo a las voces subalternas. Todo lo cual, ha posibilitado concluir que, la construcción de la ciudadanía en los y las Firmantes posee diversas aristas, entre las que sobresalen la relación con la institucionalidad y la reconfiguración de vínculos sociales, cuestiones que no han sido abordadas suficientemente desde los marcos legales, pedagógicos y académicos.
Deciphering Celebrity Worship Phenomenon: Simulation and Analysis using SFR Mathematical Model with Time Delay among Fans in South Sulawesi
Authors: Arsita Asriani , Minggi Ilham , Pandjajangi Andi Muhammad Ridho Yusuf Sainon Andi , Side Syafruddin , Arwadi Fajar
Published: October 2024

This study explores the mathematical SFR model to analyze Celebrity Worship Behavior among devoted K-Pop fans. Primary data were collected through questionnaires distributed within the South Sulawesi Province, providing insights into the dynamics of Celebrity Worship Behavior among K-Pop enthusiasts. The research involves developing an SFR model with time delays, followed by a series of analyses and simulations related to Celebrity Worship Behavior in the K-Pop community. This comprehensive approach includes identifying equilibrium points, evaluating model stability, calculating the basic reproduction number (R0), conducting simulations using Maple software, and interpreting the simulation results. The SFR mathematical model reveals two equilibrium points: one representing the baseline level of Celebrity Worship Behavior among K-Pop fans and the other specific to this behavior. The calculated R0 value of 0.425 suggests a potential decrease in the prevalence of Celebrity Worship Behavior within the K-Pop community.