bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Digital Twins with Human Movement Data: A Comparative Study of Lidar-Based Tracking Methods
Authors: Karki Shashank , Pingel Thomas J. , Baird Timothy D. , Flack Addison , Ogle Todd
Published: September 2024

Digitals twins, used to represent dynamic environments, require accurate tracking of human movement to enhance their real-world application. This paper contributes to the field by systematically evaluating and comparing pre-existing tracking methods to identify strengths, weaknesses and practical applications within digital twin frameworks. The purpose of this study is to assess the efficacy of existing human movement tracking techniques for digital twins in real world environments, with the goal of improving spatial analysis and interaction within these virtual modes. We compare three approaches using indoor-mounted lidar sensors: (1) a frame-by-frame method deep learning model with convolutional neural networks (CNNs), (2) custom algorithms developed using OpenCV, and (3) the off-the-shelf lidar perception software package Percept version 1.6.3. Of these, the deep learning method performed best (F1 = 0.88), followed by Percept (F1 = 0.61), and finally the custom algorithms using OpenCV (F1 = 0.58). Each method had particular strengths and weaknesses, with OpenCV-based approaches that use frame comparison vulnerable to signal instability that is manifested as “flickering” in the dataset. Subsequent analysis of the spatial distribution of error revealed that both the custom algorithms and Percept took longer to acquire an identification, resulting in increased error near doorways. Percept software excelled in scenarios involving stationary individuals. These findings highlight the importance of selecting appropriate tracking methods for specific use. Future work will focus on model optimization, alternative data logging techniques, and innovative approaches to mitigate computational challenges, paving the way for more sophisticated and accessible spatial analysis tools. Integrating complementary sensor types and strategies, such as radar, audio levels, indoor positioning systems (IPSs), and wi-fi data, could further improve detection accuracy and validation while maintaining privacy.
Mini-Satellite Fucheng 1 SAR: Interferometry to Monitor Mining-Induced Subsidence and Comparative Analysis with Sentinel-1
Authors: Feng Shumin , Dai Keren , Sun Tiegang , Deng Jin , Tang Guangmin , Han Yakun , Ren Weijia , Sang Xiaoru , Zhang Chenwei , Wang Hao
Published: September 2024

Mining-induced subsidence poses a serious hazard to the surrounding environment and infrastructure, necessitating the detection of such subsidence for effective disaster mitigation and the safeguarding of local residents. Fucheng 1 is the first high-resolution mini-satellite interferometric Synthetic Aperture Radar (SAR) launched by China in June 2023. In this study, we used Fucheng 1 SAR images to analyze mining-induced subsidence in Karamay by InSAR Stacking and D-InSAR. The findings were compared with Sentinel-1A imagery to evaluate the effectiveness of Fucheng 1 in monitoring subsidence and its interferometric performance. Analysis revealed significant mining-induced subsidence in Karamay, and the results from Fucheng 1 closely corresponded with those from Sentinel-1A, particularly regarding the extent of the subsidence. It is indicated that the precision of Fucheng 1 SAR imagery has reached leading standards. In addition, due to its higher resolution, the maximum detectable deformation gradient (MDDG) of Fucheng 1 is 2.15 times higher than that of Sentinel images. This study provides data support for the monitoring of mining-induced subsidence in the Karamay and give a theoretical basis for the application of Fucheng 1 in the field of Geohazard monitoring.
A Distributed Deadlock-Free Task Offloading Algorithm for Integrated Communication–Sensing–Computing Satellites with Data-Dependent Constraints
Authors: Zhang Ruipeng , Yang Yikang , Li Hengnian
Published: September 2024

Integrated communication–sensing–computing (ICSC) satellites, which integrate edge computing servers on Earth observation satellites to process collected data directly in orbit, are attracting growing attention. Nevertheless, some monitoring tasks involve sequential sub-tasks like target observation and movement prediction, leading to data dependencies. Moreover, the limited energy supply on satellites requires the sequential execution of sub-tasks. Therefore, inappropriate assignments can cause circular waiting among satellites, resulting in deadlocks. This paper formulates task offloading in ICSC satellites with data-dependent constraints as a mixed-integer linear programming (MILP) problem, aiming to minimize service latency and energy consumption simultaneously. Given the non-centrality of ICSC satellites, we propose a distributed deadlock-free task offloading (DDFTO) algorithm. DDFTO operates in parallel on each satellite, alternating between sub-task inclusion and consensus and sub-task removal until a common offloading assignment is reached. To avoid deadlocks arising from sub-task inclusion, we introduce the deadlock-free insertion mechanism (DFIM), which strategically restricts the insertion positions of sub-tasks based on interval relationships, ensuring deadlock-free assignments. Extensive experiments demonstrate the effectiveness of DFIM in avoiding deadlocks and show that the DDFTO algorithm outperforms benchmark algorithms in achieving deadlock-free offloading assignments.
Changes in Vegetation Cover and the Relationship with Surface Temperature in the Cananéia–Iguape Coastal System, São Paulo, Brazil
Authors: Baratto Jakeline , Terassi Paulo Miguel de Bodas , Galvani Emerson
Published: September 2024

The objective of this article is to investigate the possible correlations between vegetation indices and surface temperature in the Cananéia–Iguape Coastal System (CICS), in São Paulo (Brazil). Vegetation index data from MODIS orbital products were used to carry out this work. The Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) were acquired from the MODIS/Aqua sensor (MYD13Q1) and the leaf area index (LAI) from the MODIS/Terra (MOD15A2H). Surface temperature data were acquired from MODIS/Aqua (MYD11A2). The data were processed using Google Earth Engine and Google Colab. The data were collected, and spatial and temporal correlations were applied. Correlations were applied in the annual and seasonal period. The annual temporal correlation between vegetation indices and surface temperature was positive, but statistically significant for the LAI, with r = 0.43 (90% significance). In the seasonal period, positive correlations occurred in JFM for all indices (95% significance). Spatially, the results of this research indicate that the largest area showed a positive correlation between VI and LST. The hottest and rainiest periods (OND and JFM) had clearer and more significant correlations. In some regions, significant and clear correlations were observed, such as in some areas in the north, south and close to the city of Iguape. This highlights the complexity of the interactions between vegetation indices and climatic attributes, and highlights the importance of considering other environmental variables and processes when interpreting changes in vegetation. However, this research has significantly progressed the field, by establishing new correlations and demonstrating the importance of considering climate variability, for a more accurate understanding of the impacts on vegetation indices.
The Intersections between Migration and Disability: Narratives by EU Migrants to the UK, Disabled British People and Disabled EU Migrants
Authors: Duda-Mikulin Eva A.
Published: September 2024

This article lies at the intersection of migration studies and disability studies and aims to contribute to redressing the considerable gap in knowledge regarding disabled voluntary migrants. These two areas, migration and disability, respectively, have rarely been considered together, a significant gap given the situation faced by disabled migrants and crosscutting issues confronting disabled people and migrants. Dynamics of exclusion are viewed as a shared experience of migrants, disabled people and disabled migrants. This paper is based on qualitative semi-structured interviews with voluntary EU migrants to the UK, disabled British people and disabled EU migrants, which are supplemented by key informant interviews. All were conducted in 2019 in the north of England. The findings highlight that when migration and disability are considered concurrently, barriers multiply and result in a nuanced disadvantage and experiences of social marginalisation. Migrant and disability experience translates into social vulnerability and is a contributing cause of exclusion in relation to social expectations and mainstream services. This paper concludes that there is an urgent need to change the narrative and perception that migrant and disabled people are less worthy of attention and bring their needs to the fore.
Effect of Usage of Industrial Robots on Quality, Labor Productivity, Exports and Environment
Authors: Palčič Iztok , Prester Jasna
Published: September 2024

Industrial robots are slowly finding their way into manufacturing companies. This paper examines the impact of robots on productivity, exports, quality, sustainability and labor in European manufacturing companies. There is little research on the use of industrial robots and their impact in developed countries. Most research relates to Chinese companies, and often, the data are outdated. The data in this paper come from the European Manufacturing Survey project, which was conducted in 2022 and includes 476 manufacturing companies. The results of the impact of industrial robots on quality, labor productivity, exports and green technologies are determined using a T-test between companies that use industrial robots and those that do not. However, the impact of higher investment in environmental technologies by industrial robot users was examined by a two-stage OLS regression analysis with control variables representing the contextual characteristics of the companies. The results show positive effects on all of the variables. The results show that the greater use of robots occurs in industries with low-to-medium technology intensity, that robots contribute to labor productivity and exports and that companies that use robots also tend to use environmentally friendly technologies.
A Comparison of Outdoor Green and Indoor Education: Psycho-Environmental Impact on Kindergarten and Primary Schools Teachers
Authors: Mosca Oriana , Rubat du Mérac Emiliane , Pedditzi Maria Luisa , Meloni Carla , Isoni Cristina , Livi Stefano , Fornara Ferdinando
Published: September 2024

This research aims to verify the effect of outdoor green teaching experiences on school affective qualities, perceived restorativeness, school climate, and global well-being in a sample of school teachers. A comparison was conducted between teachers who work mainly indoors and those who frequently run school activities outdoors in green spaces. A sample of kindergarten and primary school teachers working in different Italian regions (n = 209) filled in an online questionnaire including the Satisfaction with Life Scale (SWLS), the Perceived Restorativeness Scale (PRS-11), the Scale of Affective Qualities of Place, and the Revised School Level Environment Questionnaire (RSLEQ). Zero-order correlations, preliminary descriptive analyses of variance (ANOVAs) to compare teachers conducting Outdoor Education (vs. teachers conducting only or almost always indoor education), and structural equation modeling (SEM) were carried out on the measured variables. Results from ANOVAs evidenced that teachers conducting outdoor green education show higher levels of perceived affective qualities and restorativeness than teachers working mainly indoors. The model tested through SEM analysis showed that positive affective qualities attributed to the school are associated with higher levels of restorativeness and this, in turn, is linked to a more positive perception of social relationships at school, which increases life satisfaction. Overall, these outcomes support previous research demonstrating the beneficial psychological effects of nature experiences, also in the school environment.
Toward More Nature-Positive Outcomes: A Review of Corporate Disclosure and Decision Making on Biodiversity
Authors: Senanayake Maheshika , Harymawan Iman , Dorfleitner Gregor , Lee Seungsoo , Rhee Jay Hyuk , Ok Yong Sik
Published: September 2024

Loss of biodiversity and natural degradation are vital issues that have significant impacts on society and economy. Businesses, investors, and regulators have focused on corporate efforts to support biodiversity and nature-positive activities. This review provides a comprehensive overview of the importance of biodiversity for businesses, its materiality, and the roles of mandatory and nonmandatory regulations in corporate environmental reporting and sustainability disclosure frameworks. It also discusses descriptive information on the evolution of sustainability frameworks by comparing the most prominent sustainability frameworks, with a key focus on the materiality approach and biodiversity-related disclosure recommendations. Furthermore, we provide recommendations for more holistic approaches to improve future sustainability frameworks focusing on the impact of biodiversity. Additionally, we demonstrate the necessity for greater focus on the decision-making paradigm. Further research to measure the impact of biodiversity and innovative trends in sustainability reporting is required to better reflect nature-positive outcomes in corporate sector businesses.
The Mediation Effect of Customer Satisfaction in the Relationship between CSR and Financial Performance: An Empirical Study in Large Companies in Serbia
Authors: Aleksić Marko , Kalaš Branimir , Đokić Nenad , Milićević Nikola , Berber Nemanja
Published: September 2024

Although corporate social responsibility (CSR) can be examined from the point of view of the fundamental philosophy of business and society, many companies focus solely on profit. The main goal of this research is the investigation of the relationship between CSR and organizational financial performance, and the role of customer satisfaction in the proposed relationship. To investigate the proposed relationships, PLS–SEM analysis was performed using the statistical software Smart PLS. The sample used for this study consists of 165 large companies that operate in the Republic of Serbia, each with more than 250 employees (large organizations). The obtained results showed that in companies in Serbia, there is a positive and statistically significant relationship between CSR and customer satisfaction and a positive but statistically insignificant relationship between CSR and financial performance. Regarding the mediating role of customer satisfaction in explaining the relationship between CSR and financial performance, a positive full mediation relationship was found. Theoretical and managerial implications are also provided.
Food Quality and Risk Perception: An Empirical Study Based on the Opinion of University Students
Authors: Rota Francesca Silvia , Bollani Luigi , Lucia Maria Giuseppina , Bonadonna Alessandro
Published: September 2024

In recent decades, the literature on food risk has grown significantly. Consumers are increasingly interested in being informed about the relationship between the food they purchase, their health, and current sustainability goals. In this study, university students’ opinions on food quality attributes were collected through a survey in search of emerging common traits and taking into account the students’ socio-demographic characteristics. The sample for the analysis consists of 5133 students enrolled at the University of Turin (Italy), whose perceptions of food risk are analyzed using hierarchical cluster analysis and principal component analysis. The results reveal the existence of four clusters within the surveyed student population: “Detached”, “Warranty-oriented”, “Inattentive”, and “Made in Italy-oriented”. In particular, the analysis shows a significant influence of age, education level, income, and employment on students’ preferences concerning the purchasing process and food safety. The results also provide some suggestions to stakeholders, underlying the necessity to strengthen the knowledge of the origin of food products and the awareness of the challenges of the global–local food system.
Between Meteorite, Glacier and Rivers—Towards Geotourism Development in Diverse Landscape
Authors: Abramowicz Dawid , Tritt Remigiusz
Published: September 2024

The morphogenetic diversity of an area often determines its high geodiversity, which is subsequently used for geotourism. Areas where geotourism is being intentionally developed note the funded impacts resulting from increased interest in the area by tourists. This paper presents a morphogenetically diverse area that has been formed by glacial activity, cosmic factors—meteorite impacts, fluvial factors and anthropogenic factors—especially those related to industrial activities and settlement processes. In this manuscript, we identified and assessed geosites in the diverse landscape of the Poznań region (Poland), as well as analyzed strengths, weaknesses, opportunities and threats in relation to possible activities aimed at the development of geotourism. The multi-criteria assessment of existing and proposed geosites and SWOT analysis was used by us to assess geotourism development potential in this genetically highly diverse landscape. The work presented here demonstrates that not all formally created geosites by geological institutions are potentially attractive from the point of view of geotourism. The main factors that reduce the attractiveness of geosites are the lack of recreational infrastructure, poor accessibility and low educational values. The spectacularity of geosites is most often determined by their aesthetic value, representativeness, rareness and paleogeographical interest. The Poznań region has a high potential for the development of geotourism due to its valuable sites (Morasko Meteorite Reserve, Dziewicza Hill, post-mining area Szachty, Genius Loci and Ostrów Tumski); however, there is a need to develop a geotourism development strategy in the area. Given the morphogenetic diversity of the study area, there is a need to create a unique landscape geointerpretation center in this part of Europe, with a role in integrating tourism and especially geotourism activities.
Interdecadal Variations in Agricultural Drought Monitoring Using Land Surface Temperature and Vegetation Indices: A Case of the Amahlathi Local Municipality in South Africa
Authors: Mbuqwa Phumelelani , Magagula Hezekiel Bheki , Kalumba Ahmed Mukalazi , Afuye Gbenga Abayomi
Published: September 2024

Agricultural droughts in South Africa, particularly in the Amahlathi Local Municipality (ALM), significantly impact socioeconomic activities, sustainable livelihoods, and ecosystem services, necessitating urgent attention to improved resilience and food security. The study assessed the interdecadal drought severity and duration in Amahlathi’s agricultural potential zone from 1989 to 2019 using various vegetation indicators. Landsat time series data were used to analyse the land surface temperature (LST), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and standardized precipitation index (SPI). The study utilised GIS-based weighted overlay, multiple linear regression models, and Pearson’s correlation analysis to assess the correlations between LST, NDVI, SAVI, and SPI in response to the agricultural drought extent. The results reveal a consistent negative correlation between LST and NDVI in the ALM, with an increase in vegetation (R2 = 0.9889) and surface temperature. LST accuracy in dry areas increased to 55.8% in 2019, despite dense vegetation and a high average temperature of 40.12 °C, impacting water availability, agricultural land, and local ecosystems. The regression analysis shows a consistent negative correlation between LST and NDVI in the ALM from 1989 to 2019, with the correlation between vegetation and surface temperature increasing since 2019. The SAVI indicates a slight improvement in overall average vegetation health from 0.18 in 1989 to 0.25 in 2009, but a slight decrease to 0.21 in 2019. The SPI at 12 and 24 months indicates that drought severely impacted vegetation cover from 2014 to 2019, with notable recovery during improved wet periods in 1993, 2000, 2003, 2006, 2008, and 2013, possibly due to temporary drought relief. The findings can guide provincial drought monitoring and early warning programs, enhancing drought resilience, productivity, and sustainable livelihoods, especially in farming communities.
The Impact of Waste Application on the Reclamation and Biological Life of Degraded Soils
Authors: Bik-Małodzińska Marta
Published: September 2024

This work concerns the assessment of soil reclamation and its impact on biological life in areas destroyed by the sulfur industry in Jeziórko. Sulfur extraction using the borehole method causes enormous destruction to the soil environment. Among the many forms of degradation, the most pronounced are the chemical transformations of the environment and the disturbances in water relations in large areas, which could theoretically impact areas not within the direct range of the mining plant. This work aimed to assess the condition of biological life in soil reclaimed with waste in areas devastated by the sulfur industry in Jeziórko. The reclamation of these soils was difficult but necessary due to the complete disappearance of biological life. Appropriate actions were taken to restore and improve the properties of the soil, which resulted in an improvement in their production capacity. Reclamation was carried out, among other techniques, by deacidifying the soil using post-flotation lime and fertilizing the soil with municipal sewage sludge and post-use mineral wool. Studies have shown an improvement in many soil properties, such as its physical, water, chemical, and biological properties. The implemented reclamation methods significantly influenced, among other things, the density and water properties of the degraded soil. The soil reclaimed with mineral wool and sewage sludge recorded the highest density and water capacity. Applying mineral wool to the degraded soil influenced the changes in the analyzed physical and water properties. The obtained research results also show the beneficial effect of mineral wool and sewage sludge on the increase in organic carbon content. In the soil treated with these substances, the organic carbon content ranged from 13.60 g·kg−1 to 14.30 g·kg−1. It is shown that reclamation has had a considerable impact on and is essential for biological life in Jeziórko.
Improvement of Spatio-Temporal Inconsistency of Time Series Land Cover Products
Authors: Zhu Ling , Liu Jun , Jiang Shuyuan , Zhang Jingyi
Published: September 2024

In recent years, time series land cover products have been developed rapidly. However, the traditional classification strategy rarely considers time continuity and spatial consistency, which leads to the existence of unreasonable changes among the multi-period products. In order to solve the existing problems, this paper proposes a matrix decomposition model and an optimized hidden Markov model (HMM) to improve the consistency of the time series land cover maps. It also compares the results with the spatio-temporal window filtering model. The spatial weight information is introduced into the singular value decomposition (SVD) model, and the regression model is constructed by combining the eigenvalues and eigenvectors of the image to predict the unreasonable variable pixels and complete the construction of the matrix decomposition model. To solve the two problems of reliance on expert experience and lack of spatial relationships, this paper optimizes the model and proposes the HMM Land Cover Transition (HMM_LCT) model. The overall accuracy of the matrix decomposition model and the HMM_LCT model is 90.74% and 89.87%, respectively. It is found that the matrix decomposition model has a better effect on consistency adjustment than the HMM_LCT model. The matrix decomposition model can also adjust the land cover trajectory to better express the changing trend of surface objects. After consistent adjustment by the matrix decomposition model, the cumulative proportion of the first 15 types of land cover trajectories reached 99.47%, of which 83.01% were stable land classes that had not changed for three years.
Analysis of Performance and Genetic Characteristics of Cultural Landscapes in Traditional Villages along the Jinzhong Section of the Wanli Tea Road from a Landscape Gene Information Chain Perspective: A Case Study of Xiamen Village
Authors: Wang Wei , Shi Qianfei , Wang Guoyu
Published: September 2024

The traditional villages along the Wanli Tea Road carry rich historical and cultural heritage, holding significant humanistic and scientific value. However, with the rapid pace of urbanization and modernization, the inheritance and protection of the cultural landscapes in these traditional villages face numerous challenges. Based on this, this study focuses on Xiamen Village, a traditional village along the Jinzhong section of the Wanli Tea Road, utilizing the perspective of the landscape gene information chain to reveal the performance and genetic characteristics of its unique and regionally distinctive cultural landscape genes. The study provides theoretical support for the protection and inheritance of cultural landscapes in traditional villages along the Wanli Tea Road. The results show that: (1) The overall cultural landscape of Xiamen Village has been well preserved, with notable characteristics in environment, layout, architecture, and culture, demonstrating its rich historical and cultural accumulation, and offering high research and conservation value; (2) The landscape gene information chain of Xiamen Village plays a critical role in integrating the village’s cultural landscape. The landscape gene information elements and points express the village’s unique historical inheritance through regional culture and material forms. The “branch-like” structure of the landscape gene information corridors effectively connects the various landscape gene information points, while the landscape gene information network reflects the interaction between tradition and modernity; (3) The landscape gene information chain of Xiamen Village shows a relationship of coexistence between inheritance and change in its genetic characteristics. Although some landscape genes face challenges from modernization, their core traits have not been lost. The inheritance of the landscape genes is not static but adjusts and reconstructs within an evolving social and cultural context, reflecting adaptability and flexibility in response to modern demands.
Diagnostic Study to Evaluate the Degree of Development of the Circular Economy in Chilean Companies through the Application of a 5D Model
Authors: Armijos Armijos Juan Carlos , Ziller Carvajal Karen L. , von-Bischoffshausen León Paola , Araya Mena Alex
Published: September 2024

Recently, concepts such as sustainable development, corporate social responsibility, and the circular economy have gained considerable prominence, transforming production models and business practices. However, there remains a degree of uncertainty regarding the actual level of adoption of these initiatives by companies. The objective of this study is to assess the level of implementation of the circular economy in Chilean companies using a 5D model, applied through an assessment tool called “5D Circular”. This model analyzes five key business dimensions: finance, customers, internal processes, learning and growth, and conscious integration. The study was carried out on a sample of 90 companies, using a scale of 1 to 5, where 1 represents a very low level of development and 5 a very high level. The results show that the companies in the sample have achieved a high level of implementation of the circular economy. However, the dimensions of internal processes and conscious integration show a comparatively lower level of development compared to the dimensions of learning and growth and finance, which show a high level of development. It is worth noting that all companies show advanced knowledge and significant application of the circular economy.
Prevention of Postoperative Pancreatic Fistula: Systematic Review and Meta-Analysis
Authors: Alzelfawi Lama , Almajed Ebtesam , AlZabin Alya , Alruwaili Ebtisam , Alomar Leena , Alkhudairy Abdulaziz , Malaika Louae , AlShamrani Abdullah , Albishri Saleh
Published: September 2024

Background: After pancreatic surgery, the development of postoperative pancreatic fistula (POPF) is a serious concern. POPF involves the leakage of pancreatic fluids from the surgical site, which can lead to complications and even death. Preventing POPF is essential for enhancing patient recovery and lessening the impact on healthcare resources. This systematic review and meta-analysis evaluated medical methods and surgical techniques to prevent POPF. Methods: This study was registered under the International Prospective Register of Systematic Reviews (PROSPERO) with the registration number CRD42024500938. An electronic search was conducted through the PubMed, Google Scholar, Web of Science, and ScienceDirect databases for all relevant articles published in English from 2018 to 2023. The following search terms were used: ((Whipple procedure OR Pancreaticojejunal OR Pancreaticogastrostomy) AND (Prevention of postoperative pancreatic fistula) AND (Prevention OR Octreotide OR Sealant agent OR Stent OR Postoperative drain)). Results: Of 260 papers, 28 articles extracted through the database search were considered suitable for the systematic review. The included studies investigated a variety of surgical approaches for pancreatic resection. Pancreaticoduodenectomy (PD) was the most prevalent intervention. The incidence rates for POPF varied widely across the studies, ranging from as low as 11.6% to as high as 100%. The incidence rate of clinically relevant POPF (CR-POPF) ranged from 11.7% to 33.3%. The length of postoperative hospital stays also varied significantly. Discussion: Postoperative pancreatic fistula (POPF) affects 13–41% of patients post-pancreatic surgery. Despite its high incidence, mortality rates are low. Postoperative hospital stay varies, with higher rates in older patients and overweight individuals. Advancements in surgical techniques and perioperative management have reduced mortality rates to <5%. Conclusions: This study provides insights into the outcomes of pancreatectomy, including the incidence of POPF, postoperative hospital stays, and mortality rate. The findings suggest that the incidence of POPF is similar to that suggested in the literature and is influenced by various factors.
Study of Behavior of Geometric Symmetries of 3D Objects with Digital Fresnel–Kirchhoff Holograms, Using Non-Redundant Calculations
Authors: Villa-Hernández Joan Manuel , Olivares-Pérez Arturo , Herran-Cuspinera Roxana , Juárez-Pérez José Luis , Mancio Luis , Delesma Rocío
Published: September 2024

Techniques for producing fast Huygens–Fresnel–Kirchhoff digital holograms using kernel symmetry are studied. This study demonstrates non-linear behavior in computing time, as the sampled area changes with respect to the propagated diffracted area. Given the large amount of data involved in 3D object formation, symmetries are crucial in reducing the computational time. The evaluation of diffraction patterns is implemented to avoid redundant calculations while preserving the precision of the results. This algorithm decreases the required computing time depending on the symmetry of the axes, compared to direct calculation. Interestingly, the reduction in computing time relative to the number of symmetries is not linear. Computing time curves are presented. Some redundant computations are determined by the initial conditions of the object matrix, whether even or odd, along its x and y axes. Diagonal symmetries possess intrinsic redundancy along their axes. The rotation of the image must align with the rotation of the geometric coordinates in each section to ensure accurate calculations.
Three-Dimensional Moran Walk with Resets
Authors: Abdelkader Mohamed
Published: September 2024

In this current paper, we propose to study a three-dimensional Moran model (Xn(1),Xn(2),Xn(3)), where each random walk (Xn(i))∈{1,2,3} increases by one unit or is reset to zero at each unit of time. We analyze the joint law of its final altitude Xn=max(Xn(1),Xn(2),Xn(3)) via the moment generating tools. Furthermore, we show that the limit distribution of each random walk follows a shifted geometric distribution with parameter 1−qi, and we analyze the maximum of these three walks, also giving explicit expressions for the mean and variance.
The Optimization of Aviation Technologies and Design Strategies for a Carbon-Neutral Future
Authors: Xu Zheng , Pei Jinze , Song Yue
Published: September 2024

This Special Issue systematically reviews and summarizes the latest research into carbon neutrality technology and symmetry principles in power engineering and engineering thermophysics [...]
A Study of the Main Mathematical Models Used in Mobility, Storage, Pickup and Delivery in Urban Logistics: A Systematic Review
Authors: Moreno Renan Paula Ramos , Lopes Rui Borges , Ferreira José Vasconcelos , Ramos Ana Luísa , Correia Diogo
Published: September 2024

This systematic review investigates the main mathematical models applied in urban logistics, focusing on routing, location and transshipment problems. The study addresses the growing demand for efficient and sustainable logistics solutions driven by population growth and the expansion of e-commerce. A thorough analysis of 57 scientific articles was carried out, covering deterministic and stochastic methodologies, as well as heuristic and exact solutions. This review revealed that heuristic methods are predominant due to their computational efficiency. Combining exact methods with heuristics has proven effective for complex logistics scenarios, increasing accuracy and efficiency. Synchronization and intermediate stops have also emerged as critical factors in optimizing logistics operations. This review highlights the diversity of methodologies and the need for sustainable and efficient models. The integration of stochastic simulations remains limited, representing a research gap where stochastic models have been shown to provide more robust solutions in addressing the uncertainties inherent in logistics operations. This integration can increase the robustness and applicability of logistics solutions in urban environments. By highlighting the strengths and limitations of current approaches, it paves the way for future research to develop more robust and adaptable solutions to urban logistics challenges, emphasizing interdisciplinary collaboration and the use of real-world data.
Nash–Cournot Equilibrium and Its Impact on Network Transmission Congestion
Authors: Sánchez Galván María de los Ángeles , Robles García Jaime , Romero Romero David , Badaoui Mohamed
Published: September 2024

This paper evaluates the impact of congestion on transmission lines when the operation cost is minimized using economic dispatch (ED), comparing the results obtained with the Nash–Cournot Equilibrium (NCE). A methodology is developed for the optimal power flow solution through the NCE, considering the network topology (upper and lower generation limits, upper and lower limits of the transmission lines, and power balance) for a nine-node system without and considering two bilateral power transactions. The results show that the operation cost is higher when the NCE is implemented than ED. However, the problem of congestion in the transmission lines is reduced due to the equilibrium obtained in the power dispatch against minimizing the operation cost in the dispatch; the transmission lines with the most significant participation tend to become congested when additional bilateral transactions occur. Finally, the above is verified by obtaining the mean and median of the transmission line percentages used in the two simulations.
One-Bit In, Two-Bit Out: Network-Based Metrics of Papers Can Be Largely Improved by Including Only the External Citation Counts without the Citation Relations
Authors: Zhou Jianlin , Shen Zhesi , Wu Jinshan
Published: September 2024

Many ranking algorithms and metrics have been proposed to identify high-impact papers. Both the direct citation counts and the network-based PageRank-like algorithms are commonly used. Ideally, the more complete the data on the citation network, the more informative the ranking. However, obtaining more data on citation relations is often costly and challenging. In some cases, obtaining the citation counts can be relatively simple. In this paper, we look into using the additional citation counts but without additional citation relations to form more informative metrics for identifying high-impact papers. As an example, we propose enhancing the original PageRank algorithm by combining the local citation network with the additional citation counts from a more complete data source. We apply this enhanced method to American Physical Society (APS) papers to verify its effectiveness. The results indicate that the proposed ranking algorithm is robust against missing data and can improve the identification of high-quality papers. This shows that it is possible to enhance the effectiveness of a network-based metric calculated on a relatively small citation network by including only the additional data of the citation counts, without the additional citation relations.
grARffiti: The Reconstruction and Deployment of Augmented Reality (AR) Graffiti
Authors: Shih Naai-Jung , Kung Ching-Hsuan
Published: September 2024

Graffiti relies on social instrumentation for its creation on spatial structures. It is questioned whether different mechanisms exist to transfer social and spatial hierarchies under a new model for better engagement, management, and governance. This research aims to replace physical graffiti using augmented reality (AR) in smartphones. Contact-free AR graffiti starts with the creation of 3D graffiti; this is followed by an AR cloud platform upload, quick response (QR) code access, and site deployment, leading to the secondary reconstruction of a field scene using smartphone screenshots. The working structure was created based on the first 3D reconstruction of graffiti details as AR models and second 3D reconstruction of field graffiti on different backgrounds using a photogrammetry method. The 3D graffiti can be geotagged as a personal map and 3D printed for collections. This culture-engaged AR creates a two-way method of interacting with spatial structures where the result is collected as a self-governed form of social media. The reinterpreted context is represented by a virtual 3D sticker or symbolized name card shared on the cloud. The hidden or social hierarchy was reinterpreted by a sense of ritual without altering any space. The application of digital stickers in AR redefines the spatial order, typology, and governance of graffiti.
Thermoregulation Effects of Phoneutria nigriventer Isolated Toxins in Rats
Authors: Butkeraitis Carla Bogri , Falla Monica Viviana Abreu , Lebrun Ivo
Published: September 2024

Body temperature is primarily regulated by the hypothalamus, ensuring proper metabolic function. Envenomation by Phoneutria nigriventer can cause symptoms such as hypothermia, hyperthermia, sweating, and shivering, all related to thermoregulation. This study aims to analyze and identify components of the venom that affect thermoregulation and to evaluate possible mechanisms. Rats were used for thermoregulation analysis, venom fractionation by gel filtration and reverse-phase chromatography (C18), and sequencing by Edman degradation. The venom exhibited hypothermic effects in rats, while its fractions demonstrated both hypothermic (pool II) and hyperthermic (pool III) effects. Further separations of the pools with C18 identified specific peaks responsible for these effects. However, as the peaks were further purified, their effects became less significant. Tests on U87 human glioblastoma cells showed no toxicity. Sequencing of the most active peaks revealed masses similar to those of the Tachykinin and Ctenotoxin families, both known to act on the nervous system. The study concludes that molecules derived from venom can act synergistically or antagonistically. Additionally, toxins that affect thermoregulation are poorly studied and require further characterization. These toxins could potentially serve as sources for the development of new thermoregulatory drugs.
Multidrug-Resistant Proteus mirabilis and Other Gram-Negative Species Isolated from Native Egyptian Chicken Carcasses
Authors: El-Saeed Bassant Ashraf , Elshebrawy Hend Ali , Zakaria Amira Ibrahim , Abdelkhalek Adel , Imre Kálmán , Morar Adriana , Herman Viorel , Sallam Khalid Ibrahim
Published: September 2024

Poultry carcasses may be reservoirs for the zoonotic transmission of antimicrobial-resistant bacteria to humans and pose a major public health hazard. During the isolation of Salmonella from poultry and other foods, many of the presumptive typical Salmonella colonies on xylose lysine deoxycholate (XLD) agar were found to lack the invA gene, which is the specific target gene for Salmonella spp. Therefore, the current study aimed to estimate the prevalence and antimicrobial resistance profiles of extensively drug-resistant invA-negative non-Salmonella isolates recovered from native Egyptian chicken carcasses as presumptive Salmonella colonies on XLD agar. The non-Salmonella isolates were detected in 84% (126/150) of the examined native Egyptian chicken carcasses and classified into five genera, with prevalence rates of 64% (96/150), 14% (21/150), 6.7% (10/150), 3.3% (5/150), and 1.3% (2/150) for Proteus, Citrobacter, Shigella, Pseudomonas, and Edwardsiella, respectively. One hundred and ninety-five invA-negative, non-verified presumptive Salmonella isolates were recovered and classified at the species level into Proteus mirabilis (132/195; 67.7%), Proteus vulgaris (11/195; 5.6%), Citrobacter freundii (26/195; 13.3%), Shigella flexneri (8/195; 4.1%), Shigella sonnei (6/195; 3.1%), Shigella dysenteriae (3/195; 1.5%), Pseudomonas fluorescens (6/195; 3.1%), and Edwardsiella tarda (3/195; 1.5%). All (195/195; 100%) of these isolates showed resistance against cefaclor and fosfomycin. Additionally, these isolates showed high resistance rates of 98%, 92.8%, 89.7%, 89.2%, 89.2%, 86.7%, 80%, 78.5%, 74.4%, and 73.9% against cephalothin, azithromycin, vancomycin, nalidixic acid, tetracycline, sulfamethoxazole/trimethoprim, cefepime, gentamicin, cefotaxime, and ciprofloxacin, respectively. Interestingly, all (195/195; 100%) of the identified isolates were resistant to at least five antibiotics and exhibited an average MAR (multiple antibiotic resistance) index of 0.783. Furthermore, 73.9% of the examined isolates were classified as extensively drug-resistant, with an MAR index equal to 0.830. The high prevalence of extensively drug-resistant foodborne Proteus, Citrobacter, Shigella, Pseudomonas, and Edwardsiella isolated from native chicken carcasses poses a great hazard to public health and necessitates more monitoring and concern about the overuse and misuse of antibiotics in humans and animals. This study also recommends the strict implementation of GHP (good hygienic practices) and GMP (good manufacturing practices) in the chicken meat supply chain to protect consumer health.
Constraints on Metastable Dark Energy Decaying into Dark Matter
Authors: de Souza Jônathas S. T. , Vicente Gustavo S. , Graef Leila L.
Published: September 2024

We revisit the proposal that an energy transfer from dark energy into dark matter can be described in field theory by a first order phase transition. We analyze a metastable dark energy model proposed in the literature, using updated constraints on the decay time of a metastable dark energy from recent data. The results of our analysis show no prospects for potentially observable signals that could distinguish this scenario from the ΛCDM. We analyze, for the first time, the process of bubble nucleation in this model, showing that such model would not drive a complete transition to a dark matter dominated phase even in a distant future. Nevertheless, the model is not excluded by the latest data and we confirm that the mass of the dark matter particle that would result from such a process corresponds to the mass of an axion-like particle, which is currently one of the best motivated dark matter candidates. We argue that extensions to this model, possibly with additional couplings, still deserve further attention as it could provide an interesting and viable description for an interacting dark sector scenario based in a single scalar field.
Comprehensive Assessment of Flood Risk and Vulnerability for Essential Facilities: Iowa Case Study
Authors: Grant Cori Ann , Alabbad Yazeed , Yildirim Enes , Demir Ibrahim
Published: September 2024

In this study, nine different types of essential facilities in the state of Iowa (such as hospitals, fire stations, schools, etc.) were analyzed on a county level in terms of flood depth, functionality and restoration time after flooding, and damage sustained during flooding. These essential facilities were also analyzed on the state level in terms of their location relative to the 100 y and 500 y flood zones. Results show that the number of essential facilities within the flood extent reached up to 39%, and during the 100 y flood scenario all but one of the six chosen counties lost functionality of 100% of their facilities. Most essential facilities were found to have a flood depth of 1 to 4 ft deep and a restoration time of 480 days. The purpose of this study is to bring awareness to decisionmakers regarding the risk that flooding events pose to essential facilities and to highlight the increasing dangers of flooding on a broader scale. This study will be beneficial to improve mitigation strategies, emergency response plans, and ensuring that emergency services and facilities are available in the event of future floods for the affected areas.
The Discovery of a Citrus Yellow Vein Clearing Virus Hacienda Heights Isolate Diversifies the Geological Origins of the Virus in California, United States
Authors: Sun Yong-Duo , Yokomi Raymond
Published: September 2024

The citrus yellow vein clearing virus (CYVCV) is an emerging threat to the U.S. citrus industry. Reports from China shows it cause significant reductions in fruit yield and growth, particularly in lemon trees. In 2022, CYVCV was detected in a wide range of citrus cultivars in localized urban properties in Tulare, California. In 2024, a CYVCV-infected lemon tree was detected in Hacienda Heights in Los Angeles County, California, geographically separated from the Tulare foci. Through long-read sequencing technology, the whole-genome sequence of a CYVCV isolate from Hacienda Heights (designated as CYVCV-CA-HH1, Accession number PP840891.1) was obtained. Sequence alignments and neighbornet analysis strongly suggested that the CYVCV-CA-HH1 isolate has a different origin than the Tulare CYVCV (CYVCV CA-TL) isolates. The CYVCV CA-TL isolates were grouped with those from South Asia (India and Pakistan) and the Middle East (Türkiye), while the CYVCV-CA-HH1 isolate was grouped with isolates from East Asia (China and South Korea). Maximum likelihood phylogenetic analysis further supports this finding, showing that the CYVCV-CA-HH1 isolate shares the most recent common ancestor with a South Korean lineage, which derives from Chinese isolates. Together, our data suggest a diverse geological origin of CYVCV isolates in California.