bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid CMOD-Diffusion Algorithm Applied to Sentinel-1 for More Robust and Precise Wind Retrieval
Authors: Zhou Qi , Chai Huiming , Lv Xiaolei
Published: August 2024

Synthetic Aperture Radar (SAR) imagery presents significant advantages for observing ocean surface winds owing to its high spatial resolution and low sensitivity to extreme weather conditions. Nevertheless, signal noise poses a challenge, hindering precise wind retrieval from SAR imagery. Moreover, traditional geophysical model functions (GMFs) often falter, particularly in accurately estimating high wind speeds, notably during extreme weather phenomena like tropical cyclones (TCs). To address these limitations, this study proposes a novel hybrid model, CMOD-Diffusion, which integrates the strengths of GMFs with data-driven deep learning methods, thereby achieving enhanced accuracy and robustness in wind retrieval. Based on the coarse estimation of wind speed by the traditional GMF CMOD5.N, we introduce the recently developed data-driven method Denoising Diffusion Probabilistic Model (DDPM). It transforms an image from one domain to another domain by gradually adding Gaussian noise, thus achieving denoising and image synthesis. By introducing the DDPM, the noise from the observed normalized radar cross-section (NRCS) and the residual of the GMF methods can be largely compensated. Specifically, for wind speeds within the low-to-medium range, a DDPM is employed before proceeding to another CMOD iteration to recalibrate the observed NRCS. Conversely, a posterior-placed DDPM is applied after CMOD to reconstruct high-wind-speed regions or TC-affected areas, with the prior information from regions characterized by low wind speeds and recalibrated NRCS values. The efficacy of the proposed model is evaluated by using Sentinel-1 SAR imagery in vertical–vertical (VV) polarization, collocated with data from the European Centre for Medium-Range Weather Forecasts (ECMWF). Experimental results based on validation sets demonstrate significant improvements over CMOD5.N, particularly in low-to-medium wind speed regions, with the Structural Similarity Index (SSIM) increasing from 0.76 to 0.98 and the Root Mean Square Error (RMSE) decreasing from 1.98 to 0.63. Across the entire wind field, including regions with high wind speeds, the validation data obtained through the proposed method exhibit an RMSE of 2.39 m/s, with a correlation coefficient of 0.979.
Scan-to-HBIM-to-VR: An Integrated Approach for the Documentation of an Industrial Archaeology Building
Authors: Tini Maria Alessandra , Forte Anna , Girelli Valentina Alena , Lambertini Alessandro , Roggio Domenico Simone , Bitelli Gabriele , Vittuari Luca
Published: August 2024

In this paper, we propose a comprehensive and optimised workflow for the documentation and the future maintenance and management of a historical building, integrating the state of the art of different techniques, in the challenging context of industrial archaeology. This approach has been applied to the hydraulic work of the “Sostegno del Battiferro” in Bologna, Italy, an example of built industrial heritage whose construction began in 1439 and remains in active use nowadays to control the Navile canal water flow rate. The initial step was the definition of a 3D topographic frame, including geodetic measurements, which served as a reference for the complete 3D survey integrating Terrestrial Laser Scanning (TLS), Structured Light Projection scanning, and the photogrammetric processing of Unmanned Aircraft System (UAS) imagery through a Structure from Motion (SfM) approach. The resulting 3D point cloud has supported as-built parametric modelling (Scan-to-BIM) with the consequent extraction of plans and sections. Finally, the Heritage/Historic Building Information Modelling (HBIM) model generated was rendered and tested for a VR-based immersive experience. Building Information Modelling (BIM) and virtual reality (VR) applications were tested as a support for the management of the building, the maintenance of the hydraulic system, and the training of qualified technicians. In addition, considering the historical value of the surveyed building, the methodology was also applied for dissemination purposes.
Potential Controlling Factors and Landslide Susceptibility Features of the 2022 Ms 6.8 Luding Earthquake
Authors: Ma Siyuan , Shao Xiaoyi , Xu Chong
Published: August 2024

On 5 September 2022, a Ms 6.8 earthquake struck Luding County, Ganzi Tibetan Autonomous Prefecture, Sichuan Province, China. This seismic event triggered over 16,000 landslides and caused serious casualties and infrastructure damages. The aim of this study is to perform the detailed landslides susceptibility mapping associated with this event based on an updated landslide inventory and logistic regression (LR) modeling. Firstly, we quantitatively assessed the importance of different controlling factors using the Jackknife and single-variable methods for modeling landslide occurrence. Subsequently, four landslide susceptibility assessment models were developed based on the LR model, and we evaluated the accuracy of the landslide susceptibility mappings using Receiver Operating Characteristic (ROC) curves and statistical measures. The results show that ground motion has the greatest influence on landslides in the entire study area, followed by elevation, while distance to rivers and topographic relief have little influence on the distribution of landslides. Compared to the NEE plate, PGA has a greater impact on landslides in the SWW plate. Moreover, the AUC value of the SWW plate significantly decreases for lithological types and aspect, indicating a more pronounced lithological control over landslides in the SWW plate. We attribute this phenomenon primarily to the occurrence of numerous landslides in Permian basalt and tuff in the SWW plate. Otherwise, the susceptibility results based on four models indicate that high-susceptibility areas predicted by different models are distributed along both sides of seismogenic faults and the Dadu Rivers. Landslide data have a significant impact on the model prediction results, and the model prediction accuracy based on the landslide data of the SWW plate is higher.
Multi-Stage Frequency Attention Network for Progressive Optical Remote Sensing Cloud Removal
Authors: Wu Caifeng , Xu Feng , Li Xin , Wang Xinyuan , Xu Zhennan , Fang Yiwei , Lyu Xin
Published: August 2024

Cloud contamination significantly impairs optical remote sensing images (RSIs), reducing their utility for Earth observation. The traditional cloud removal techniques, often reliant on deep learning, generally aim for holistic image reconstruction, which may inadvertently alter the intrinsic qualities of cloud-free areas, leading to image distortions. To address this issue, we propose a multi-stage frequency attention network (MFCRNet), a progressive paradigm for optical RSI cloud removal. MFCRNet hierarchically deploys frequency cloud removal modules (FCRMs) to refine the cloud edges while preserving the original characteristics of the non-cloud regions in the frequency domain. Specifically, the FCRM begins with a frequency attention block (FAB) that transforms the features into the frequency domain, enhancing the differentiation between cloud-covered and cloud-free regions. Moreover, a non-local attention block (NAB) is employed to augment and disseminate contextual information effectively. Furthermore, we introduce a collaborative loss function that amalgamates semantic, boundary, and frequency-domain information. The experimental results on the RICE1, RICE2, and T-Cloud datasets demonstrate that MFCRNet surpasses the contemporary models, achieving superior performance in terms of mean absolute error (MAE), root mean square error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM), validating its efficacy regarding the cloud removal from optical RSIs.
Feed Restriction in Angus Steers Impacts Ruminal Bacteria, Its Metabolites, and Causes Epithelial Inflammation
Authors: Jiang Qianming , Galvão Matheus Castilho , Alharthi Abdulrahman S. , Alhidary Ibrahim A. , Gionbelli Mateus P. , McCann Joshua C. , Loor Juan J.
Published: August 2024

We identified alterations in the ruminal microbiome, metabolome, and epithelial inflammatory response due to moderate feed restriction (FR). Ruminal digesta and epithelial biopsies from seven ruminally cannulated Angus steers were initially collected during ad libitum access to feed (PRE). After a 10 day recovery, steers underwent a 3-day FR period (FRP) at 25% intake of PRE followed by a 15 day recovery (POST) phase with ad libitum access to feed. At the end of FRP and POST, ruminal digesta and epithelial biopsies were collected again for microbial DNA and tissue RNA extraction. RT-qPCR was applied for relative microbial abundance and RNA extraction. Metabolite profiling of digesta was performed via GC-MS. The abundance of Succinivibrio dextrinosolvens, Streptococcus bovis, and Bifidobacteria spp. (N124) was higher (p < 0.05) during FRP than PRE and POST, while Lactobacillus spp. (C25), Escherichia coli (EC42405), Fibrobacter succinogenes, and Megaspheara elsdenii abundances were lower in FRP than PRE (p < 0.05). The TNF and TLR2 mRNA abundance was greater in FRP than PRE (p < 0.05). Among 15 detected amino acids, glutamine, isoleucine, lysine, phenylalanine, threonine, and valine were lower (p < 0.05) in FRP than PRE. Metabolite pathway analysis revealed alterations in amino acid, fatty acid, vitamin, and energy metabolism during FRP (p < 0.05). The mRNA of the proinflammatory genes TNF and TLR2 in the epithelium peaked (p < 0.05) at FRP and remained higher at POST. Results indicated that a short FR influenced ruminal bacteria, reduced concentrations of most metabolites, and triggered an inflammatory response.
DS-SIAUG: A Self-Training Approach Using a Disrupted Student Model for Enhanced Side-Scan Sonar Image Augmentation
Authors: Peng Chengyang , Jin Shaohua , Bian Gang , Cui Yang
Published: August 2024

Side-scan sonar is a principal technique for subsea target detection, where the quantity of sonar images of seabed targets significantly influences the accuracy of intelligent target recognition. To expand the number of representative side-scan sonar target image samples, a novel augmentation method employing self-training with a Disrupted Student model is designed (DS-SIAUG). The process begins by inputting a dataset of side-scan sonar target images, followed by augmenting the samples through an adversarial network consisting of the DDPM (Denoising Diffusion Probabilistic Model) and the YOLO (You Only Look Once) detection model. Subsequently, the Disrupted Student model is used to filter out representative target images. These selected images are then reused as a new dataset to repeat the adversarial filtering process. Experimental results indicate that using the Disrupted Student model for selection achieves a target recognition accuracy comparable to manual selection, improving the accuracy of intelligent target recognition by approximately 5% over direct adversarial network augmentation.
The Roles of Affective Lability, Boredom, and Mindfulness in Predicting Number of Sex Partners within Women
Authors: Lorenzi Carolyn A. , de Jong David C. , Faulkenberry Rachel S.
Published: August 2024

Affective lability, a trait related to borderline personality disorder, bipolar disorder, eating disorders, and post-traumatic stress disorder, is associated with a higher number of lifetime sex partners. Among individuals who are affectively labile, boredom proneness, which has been linked to impulsive and risky sexual behaviors, might increase the likelihood of having more sex partners. Conversely, mindfulness has been found to be associated with healthy emotion regulation and lower impulsivity, and may enable a greater tolerance of affective lability and boredom, and, in turn, lower the sense of urgency to engage in sex to cope. Thus, the present study investigated the links between affective lability, boredom proneness, mindfulness, and number of sex partners in the last year. We predicted that affective lability would be positively associated with number of sex partners, and that this association would be moderated by boredom proneness and mindfulness in a three-way interaction. Adult women (N = 469, Mage = 25.15 years) were recruited from online communities and completed measures of affective lability, boredom proneness, trait mindfulness, and number of sex partners in the last year. None of the preregistered three-way interactions were supported; however, exploratory analyses revealed that, among women who reported rapid changes between depression and elation, those who were less likely to observe thoughts and sensations had more sex partners in the last year. Clinicians and researchers should further investigate which facets of mindfulness may protect against a higher number of sex partners in affectively labile individuals.
The Impact of Referencing Academics Who Have Defended and Exercised Pederasty
Authors: Joanpere Mar , Puigvert-Mallart Lidia , Valls-Carol Rosa , Melgar Patricia , Álvarez-Guerrero Garazi , Flecha Ramón
Published: August 2024

The scientific literature has shown an increasing demand by citizens and society at large to stop using people who have committed sexual violence against children as a reference in academia. However, research has not explored the fact that in some sectors of society, the rejection of individuals who have exercised sexual abuse against children is entirely deliberate. This study analyzes, for the first time, the incoherence of many academics when it comes to their positioning regarding different renowned authors who commit sexual abuse against children, and the consequences of such incoherence according to several citizens. To that end, social media analytics and interviews with 16 individuals aged 27 to 70 years from different professions, including university professors, construction workers and retired lawyers, were conducted. The results show three main consequences of the incoherence of academics who use as a reference authors who have defended and exercised pederasty: promoting social mistrust toward those academics, as there is no coherence between what they say and do; normalizing and promoting pederasty and impunity toward abusers, creating a sense that “anything goes”; and silencing and revictimizing victims, which creates a context of great vulnerability to develop a healthy sexuality.
AI-Generated Graffiti Simulation for Building Façade and City Fabric
Authors: Shih Naai-Jung
Published: August 2024

Graffiti represents a multi-disciplinary social behavior. It is used to annotate urban landscapes under the assumption that building façades will constantly evolve and acquire modified skins. This study aimed to simulate the interaction between building façades and generative AI-based graffiti using Stable Diffusion® (SD v 1.7.0). The context used for graffiti generation considered the graffiti as the third skin, the remodeled façade as the second skin, and the original façade as the first skin. Graffiti was created based on plain-text descriptions, representative images, renderings of scaled 3D prototype models, and characteristic façades obtained from various seed elaborations. It was then generated from either existing graffiti or the abovementioned context; overlaid upon a campus or city; and judged based on various criteria: style, area, altitude, orientation, distribution, and development. I found that rescaling and reinterpreting the context presented the most creative results: it allowed unexpected interactions between the urban fabric and the dynamics created to be foreseen by elaborating on the context and due to the divergent instrumentation used for the first, second, and third skins. With context awareness or homogeneous aggregation, graphic partitions can thus be merged into new topologically re-arranged polygons that enable a cross-gap creative layout. Almost all façades were found to be applicable. AI generation enhances awareness of the urban fabric and facilitates a review of both the human scale and buildings. AI-based virtual governance can use generative graffiti to facilitate the implementation of preventive measures in an urban context.
Moral Faces: How Spontaneous Ideological Inferences from Facial Cues Influence Moral Judgments
Authors: Maeng Ahreum
Published: August 2024

This research demonstrates that individuals make moral judgments based on ideological inferences from facial cues. Using racially homogeneous male faces, four studies showed that individuals infer ideological beliefs—and thus group membership (in- versus out-group)—from a novel face and that the fit between the inferred social identity and the perceiver’s own social identity leads to judgments of moral superiority. Further evidence shows that a salient social identity moderates moral evaluation. These results reflect the automaticity of social categorization, which contributes to moral judgments of a person.
Victimization and Perpetration of Online Dating Violence and Emotional Dependence by Gender among University Students in Ecuador
Authors: Castillo-Gonzáles Mayra , Terán Andrade Emilio
Published: August 2024

The present study investigates the roles of online dating violence and emotional dependence within the context of interpersonal relationships. The primary objective of this research is to analyze the perpetration and victimization of online dating violence and emotional dependence among men and women. Utilizing a quantitative approach with a descriptive and explanatory focus, this research employed a non-experimental cross-sectional design. A sample comprising 3202 university students completed the Dating Online Abuse Scale (DOAS) and the Emotional Dependence Questionnaire (EDQ). Statistical analyses, including Student’s t-test, Pearson’s correlation coefficient, and simple linear regressions, were conducted. Significant gender differences (p < 0.01) emerged concerning both victimization and perpetration of online dating violence. Furthermore, a noteworthy association (p < 0.01) was observed between online dating violence and emotional dependence, with the latter serving as a predictive factor for online dating violence across genders.
How Debt and Attainment Relate through the GPA of Non-White College Students
Authors: Bui Binh Chi
Published: August 2024

This study investigated the effects of U.S. student loans on attainment via the GPA of non-white undergraduates. The data for the study were drawn from the 2012/2017 Beginning Postsecondary Students Longitudinal Study (BPS: 12/17), encompassing a nationally representative sample of 1500 African American, Hispanic, Asian, multiracial, and other non-white students. The results, based on regression models and the bootstrapped confidence interval (BCI) method, indicated that student loans were associated with GPA, and both student loans and GPA were associated with attainment. Notably, the indirect effect of loan status on attainment was negative, whereas the indirect effect of high debt on attainment was positive. These findings highlight the indirect relationship between student loans and attainment and suggest that high debt has the potential to offset the negative effect of loan status on academic outcomes. The implications of these findings for higher education practice and policy debates are critical, particularly in the context of addressing non-white students’ financial needs and enhancing their academic outcomes.
Software Update Methodologies for Feature-Based Product Lines: A Combined Design Approach
Authors: Bazzi Abir , Shaout Adnan , Ma Di
Published: August 2024

The automotive industry is experiencing a significant shift, transitioning from traditional hardware-centric systems to more advanced software-defined architectures. This change is enabling enhanced autonomy, connectivity, safety, and improved in-vehicle experiences. Service-oriented architecture is crucial for achieving software-defined vehicles and creating new business opportunities for original equipment manufacturers. A software update approach that is rich in variability and based on a Merkle tree approach is proposed for new vehicle architecture requirements. Given the complexity of software updates in vehicles, particularly when dealing with multiple distributed electronic control units, this software-centric approach can be optimized to handle various architectures and configurations, ensuring consistency across all platforms. In this paper, our software update approach is expanded to cover the solution space of the feature-based product line engineering, and we show how to combine our approach with product line engineering in creative and unique ways to form a software-defined vehicle modular architecture. Then, we offer insights into the design of the Merkle trees utilized in our approach, emphasizing the relationship among the software modules, with a focus on their impact on software update performance. This approach streamlines the software update process and ensures that the safety as well as the security of the vehicle are continuously maintained.
Mass Conservative Time-Series GAN for Synthetic Extreme Flood-Event Generation: Impact on Probabilistic Forecasting Models
Authors: Karimanzira Divas
Published: August 2024

The lack of data on flood events poses challenges in flood management. In this paper, we propose a novel approach to enhance flood-forecasting models by utilizing the capabilities of Generative Adversarial Networks (GANs) to generate synthetic flood events. We modified a time-series GAN by incorporating constraints related to mass conservation, energy balance, and hydraulic principles into the GAN model through appropriate regularization terms in the loss function and by using mass conservative LSTM in the generator and discriminator models. In this way, we can improve the realism and physical consistency of the generated extreme flood-event data. These constraints ensure that the synthetic flood-event data generated by the GAN adhere to fundamental hydrological principles and characteristics, enhancing the accuracy and reliability of flood-forecasting and risk-assessment applications. PCA and t-SNE are applied to provide valuable insights into the structure and distribution of the synthetic flood data, highlighting patterns, clusters, and relationships within the data. We aimed to use the generated synthetic data to supplement the original data and train probabilistic neural runoff model for forecasting multi-step ahead flood events. t-statistic was performed to compare the means of synthetic data generated by TimeGAN with the original data, and the results showed that the means of the two datasets were statistically significant at 95% level. The integration of time-series GAN-generated synthetic flood events with real data improved the robustness and accuracy of the autoencoder model, enabling more reliable predictions of extreme flood events. In the pilot study, the model trained on the augmented dataset with synthetic data from time-series GAN shows higher NSE and KGE scores of NSE = 0.838 and KGE = 0.908, compared to the NSE = 0.829 and KGE = 0.90 of the sixth hour ahead, indicating improved accuracy of 9.8% NSE in multistep-ahead predictions of extreme flood events compared to the model trained on the original data alone. The integration of synthetic training datasets in the probabilistic forecasting improves the model’s ability to achieve a reduced Prediction Interval Normalized Average Width (PINAW) for interval forecasting, yet this enhancement comes with a trade-off in the Prediction Interval Coverage Probability (PICP).
Comparing CO2 Storage and Utilization: Enhancing Sustainability through Renewable Energy Integration
Authors: Garcia Jose Antonio , Villen-Guzman Maria , Rodriguez-Maroto Jose Miguel , Paz-Garcia Juan Manuel
Published: August 2024

Addressing the environmental challenges posed by CO2 emissions is crucial for mitigating global warming and achieving net-zero emissions by 2050. This study compares CO2 storage (CCS) and utilization (CCU) technologies, highlighting the benefits of integrating captured CO2 into fuel production. This paper focuses on various carbon utilization routes such as Power-to-Gas via the Sabatier reaction, indirect production of DME, and Power-to-Fuel technologies. The maturity of these technologies is evaluated using the Technology Readiness Level (TRL) method, identifying the advancements needed for future implementation. Additionally, global regulations and policies surrounding carbon capture and storage are reviewed to provide context for their current status. The study emphasizes the potential of CCU technologies to reduce future CO2 emissions by converting captured CO2 into valuable fuels and chemicals, thus supporting the transition to a sustainable energy system. The findings indicate that while CCS technologies are more mature, promising CCU technologies can significantly contribute to reducing greenhouse gas emissions if green hydrogen becomes more affordable. This research underscores the importance of further technological development and economic evaluation to enhance the feasibility and adoption of CCU technologies in the pursuit of long-term environmental sustainability.
Dynamic Simulation of Energy Scenarios in the Transition to Sustainable Mobility in the Ecuadorian Transport Sector
Authors: Atiaja Johana , Arroyo Flavio , Hidalgo Víctor , Erazo José , Remache Abel , Bravo Dely
Published: August 2024

In Ecuador, the growth of the transportation sector has significantly increased greenhouse gas emissions. According to experts, this sector currently contributes to 49.8% of total greenhouse gas emissions in this country. This poses significant challenges for environmental sustainability, emphasizing the urgent need for effective strategies to mitigate these emissions and promote environmentally friendly practices. Therefore, this study focuses on developing a dynamic simulation of energy scenarios for the year 2035 in the transportation sector, with the goal of transitioning to sustainable mobility, as fossil fuels are the main pollutants in the country. This study proposes system dynamics models using VENSIM 6.0b software to estimate the total energy demand and pollutant emissions in the transportation sector. The results suggest that if Ecuador aligns with global mobility trends and implements public policies promoting the use of electric vehicles, total CO2 emissions could potentially decrease from 50,161,432 kilobarrels of oil equivalent (kBOE) to 20,589,720 kBOE by the year 2035.
Using DPF to Control Particulate Matter Emissions from Ships to Ensure the Sustainable Development of the Shipping Industry
Authors: Zhou Jinxi , Zhang Junling , Jiang Guoxian , Xie Kai
Published: August 2024

PM (particulate matter) emissions from ships are the main sources of marine atmosphere pollution. Controlling the emissions of particulate matter from ships is related to the sustainable development of the shipping industry. To reduce PM emissions from marine four-stroke diesel engines, DPFs are effective. Our results show that DPF had more than 90% capturing efficiency for both the number and mass emissions of PM, and the capturing efficiency for the accumulation mode was higher than that of the nuclear mode. DPF can also significantly reduce the chemical components of PM in marine diesel exhaust gas. The removal efficiencies for OC and EC were 89.7–91.6% and 84.8–92.8%, respectively, with each particle size range showing over 80% efficiency. SO42− was the ion with the highest content, followed by NH4+, NO3−, Na+, NO2−, and Cl−, with their reduced proportions remaining consistent with the removal efficiency of particulate matter. DPF can also effectively reduce PAH content and toxicity. The use of DPF can greatly improve the impact of ship emissions on the marine atmospheric environment. The appropriate DPF with the best performance can be selected according to the exhaust parameters and particle size distributions with different characteristics.
Empowering Innovation: Advancing Social Entrepreneurship Policies in Croatia
Authors: Tišma Sanja , Mileusnić Škrtić Mira , Maleković Sanja , Jelinčić Daniela Angelina , Keser Ivana
Published: August 2024

This paper examines the impact of public policy guidelines on social entrepreneurship in Croatia, focusing on regional disparities and the effectiveness of various policy areas. Using a mixed-method approach, this research highlights how these variations influence policy outcomes, particularly in terms of the diverse levels of support across regions. The findings reveal the necessity of adopting region-specific and policy-area-specific strategies to effectively nurture a robust social entrepreneurship ecosystem. Additionally, enhancing public awareness and education is found to be critical for fostering a supportive environment for social entrepreneurship.
Implementation Outline of Climate-Smart One Health: A System-Thinking Approach
Authors: Tepa-Yotto Ghislain T. , Tonnang Henri E. Z. , Yeboah Stephen , Osae Michael Yao , Gariba Awudu Amadu , Dalaa Mustapha , Adomaa Faustina Obeng , Damba Osman Tahidu , Kyere Reginald , Moutouama Fidèle T. , Agboton Cyriaque , Winsou Jeannette K. , Tamò Manuele , Zougmore Robert
Published: August 2024

The One Health (OH) concept has evolved significantly in recent decades, emerging as a key framework guiding international research and policy in managing new infectious diseases, chiefly zoonoses. While its initial conception revolved around managing zoonotic diseases as they traverse the interface between animals and humans through the environment, this concept has transformed beyond its origins as a collaboration solely between veterinary and public health stakeholders. Notably, the past decade has ushered in a new era of addressing complex issues in a novel manner. Emerging evidence has led to a fresh theoretical framework, highlighting interconnected terrestrial and aquatic ecosystems. Understanding these links is crucial in tackling emerging issues and resultant health challenges within these systems under what we call One Health 2.0. The current paper describes Climate-Smart One Health (CS-OH) and Climate-Smart Integrated Pest Management (CS-IPM) approaches, emphasizing holistic perspectives and practical tools. The One Health (OH) 2.0 concept applies to the agricultural sector and more specifically to agrifood systems exposed to climate change impacts. It is meant to address, in a comprehensive manner, soil, water, plant, animal, rural and urban farmers and farming communities, and consumer health issues. The One Health (OH) 2.0 concept is embodied in the Climate-Smart One Health (CS-OH) approach. The latter is designed for applications in agrifood systems. Pathways for the deployment of both CS-OH and CS-IPM interventions are proposed in this paper. A Ghanaian case is discussed.
Systematic Testing of Road Markings’ Retroreflectivity to Increase Their Sustainability through Improvement of Properties: Croatia Case Study
Authors: Babić Darko , Fiolić Mario , Babić Dario , Burghardt Tomasz E.
Published: August 2024

Road markings are important elements of road infrastructure, influencing traffic safety. Since they are deteriorating systems, their upkeep through renewals is important. To assure the quality of the renewal jobs, the systematic testing of retroreflectivity, which is the key performance parameter of road markings, was imposed in Croatia. Results from two decades of annual measurements of renewal jobs are provided. For the first decade, the measurements were taken statically, at spot locations, and later dynamically, across the entire road segments. When the evaluation started, only 1 out of 18 tested job sites was exceeding the minimum requirements; only after 8 years of measurements, 100% of the jobs exceeded the minimum demands. A subsequent switch to dynamic testing revealed that, on average, only 71% of the renewed road markings were in satisfactory condition and approximately 1.22% of the analysed line lengths had grossly substandard retroreflectivity. These results demonstrated that the field verification of jobs quality is necessary and simultaneously showed that static localised testing was not adequate. The outcome underlines the need for the strict supervision of road maintenance contracts to maximise the benefits for the society: through the better visibility of road markings, road safety should also improve, and the entire system will become more sustainable.
Scale Differences and Gradient Effects of Local Climate Zone Spatial Pattern on Urban Heat Island Impact—A Case in Guangzhou’s Core Area
Authors: Rao Yan , Zhang Shaohua , Yang Kun , Ma Yan , Wang Weilin , Niu Lede
Published: August 2024

With the continuous development of cities, the surface urban heat island intensity (SUHII) is increasing, leading to the deterioration of the urban thermal environment, increasing energy consumption, and endangering the health of urban residents. Understanding the spatio-temporal scale difference and gradient effect of urban spatial patterns on the impact of SUHII is crucial for improving the climate resilience of cities and promoting sustainable urban development. This paper investigated the characteristics of SUHII changes at different time periods based on local climate zones (LCZs) and downscaled land surface temperature (LST) data. Meanwhile, landscape pattern indicators and the multiscale geographically weighted regression (MGWR) model were utilized to analyze the impacts of urban spatial patterns on SUHII at multiple spatial–temporal scales. The results indicated that the SUHII of each LCZ type exhibited diverse patterns in different time periods. High SUHII occurred in summer daytime and autumn nighttime. Compact and high-rise buildings (LCZ1/2/4) showed markedly higher SUHII during the daytime or nighttime, except for heavy industry. The extent of influence and the dominant factors of LCZ spatial patterns on SUHII exhibit obvious scale differences and gradient effects. At the regional scale, highly regular and compacted built-up areas tended to increase SUHII, while single and continuously distributed built-up areas had a greater impact on increasing SUHII. At the local scale, the impact of the PLAND (1/2/4/5/10) on SUHII exhibited a trend of diminishing from urban to suburban areas. In urban areas, the PLAND of LCZ 1, LCZ 2, and LCZ4 was the major factor affecting the increase in SUHII, whereas, in suburban areas, the PLAND of LCZ 2 and LCZ 10 was the major influencing factor on SUHII. The results can provide a scientific reference for mitigating urban heat island effects and constructing an ecologically ‘designed’ city.
Sustainable Brand Resilience: Mitigating Panic Buying through Brand Value and Food Waste Attitudes Amid Social Media Misinformation
Authors: Poulis Athanasios , Theodoridis Prokopis , Chatzopoulou Evi
Published: August 2024

This study investigates the relationship between user-generated content on social media and panic buying, with a focus on how attitudes towards food waste and brand value act as moderating variables. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data from an online survey with 370 responses were analyzed. The findings show that user-generated content significantly contributes to the dissemination of inaccurate information, which in turn triggers panic buying. However, the impact of inaccurate information on panic buying is moderated by consumer attitudes towards food waste and brand value. Specifically, consumers with negative attitudes towards food waste and high brand trust are less likely to engage in panic buying when exposed to misinformation. These results suggest that promoting responsible consumption and leveraging brand value can mitigate the adverse effects of misinformation during crises. This study contributes to sustainability by providing insights into developing strategies for retailers and policymakers to manage consumer behavior, emphasizing the importance of accurate information and brand communication in reducing panic buying tendencies.
Sustainable Maintenance of Conductors in Transmission/Distribution Networks Using Complex Magnetic Field Analysis
Authors: Dina Livia-Andreea , Voicu Viorica , Dumbrava Ionel , Mircea Paul-Mihai , Nicolae Ileana Diana
Published: August 2024

This study presents issues related to electromagnetic pollution and the level of magnetic field radiation occurring around conductors used for electricity transmission and distribution. The fact that modeling and simulation are the most efficient methods of optimization, considering the cost–benefit ratio, was the premise of this work. This paper proposes the performance of a complex analysis, carried out in a comparative manner, which includes physical tests and simulations in the existing field around transmission and distribution cables used in transformer substations. In the first stage, the level of the magnetic field existing near the conductor carried by an electric current was tested (measured), and a virtual model was then designed to simulate the field in conditions similar to those of the test. The results obtained from the simulation were analyzed in comparison with those obtained by testing. The maximum permissible limits of exposure to an electromagnetic field, which are regulated by Government Decision HG 520/2016 of 20 July 2016 and Directive 2013/35/EU of the European Parliament and of the Council of 26 June 2013, were used as the reference to formulate conclusions for both situations considered. These comparisons were intended to determine the level of exposure to electromagnetic fields existing in places where electricity transmission/distribution conductors are located. Energy sustainability exists due to the versatile properties of the conductors, with the energy transmission and distribution network being functional regardless of the source of energy production.
The Impact of the Islamic Financial Wills System on Achieving Sustainable Social Development
Authors: Al Kubaisi Abdel Aziz Shaker Hamdan
Published: August 2024

Wills within the legislative+ system for donation contracts are considered highly beneficial and have a great impact on both testators and legatees. They hold financial and value dimensions aimed at linking today’s generation with future generations, perpetuating humanitarian work, and extending it beyond death. Consequently, wills, along with other charitable resources such as endowments, constitute significant channels that can contribute to achieving sustainable development in societies. This study aims to illustrate the impact of the relationship between wills and sustainable development. It highlights the importance of wills for societal advancement, noting that they are no less important than endowment systems. This study concludes that the legislation of wills is among systems that encompass intergenerational ties; strengthen social cohesion; elevate societies by maintaining ties of kinship; improve the conditions of financially and socially disadvantaged people; provide education and healthcare for the underprivileged; and foster intergenerational bonds in the forms of compassion, empathy, and integration. Moreover, wills grant individuals participation in shaping a better future for forthcoming generations, in addition to alleviating the suffering caused by poverty and striving for self-sufficiency, social care, and education, thereby embodying the economic and social dimensions of sustainable development.
Assessment of Factors Influencing the Development of Inland Navigation in Poland
Authors: Skupień Emilia Teresa
Published: August 2024

The presented article concerns the development of inland navigation in Poland. The aim is to determine and analyse factors that influence the development of this branch of transportation. To determine the parameters that are subject to further analysis, the author analysed publications on the development of inland waterway transport. Then, three groups of respondents (scientists, shipping administration employees, and inland navigation captains) evaluated seven selected factors (demand, operational parameters, ports, service, waterways improvement, fleet, and crew) and their mutual influence. Responses were analysed using the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. According to the results, the factors influencing inland navigation to the greatest extent are demand, operational parameters, and waterways improvement; at the same time, all these factors were evaluated as influencing the other factors. This means that by modelling these factors, e.g., through political tools, one can achieve the fastest and greatest impact on the development of inland navigation in Poland. The factors assessed as the most important, at the same time being identified as influencing others (not being their effect), are the factors that should be taken into account first, because they can have the fastest and greatest impact on the development of inland navigation in Poland.
Impacts of COVID-19 on Air Traffic Control and Air Traffic Management: A Review
Authors: Kamat Armaan , Li Max Z.
Published: August 2024

The global air transportation system continues to be greatly impacted by operational changes induced by the COVID-19 pandemic. As air traffic management (ATM) focuses on balancing system capacity with demand, many facets of ATM and system operations more broadly were subjected to dramatic changes that deviate from pre-pandemic procedures. Since the start of the COVID-19 pandemic when air travel became one of the first transport modes to be impacted by lockdown procedures and travel restrictions, a geographically diverse cohort of researchers began investigating the impacts of the COVID-19 pandemic on air navigation service providers, airline and airport operations, on-time performance, as well as airline network structure, connectivity, crew scheduling, and service impacts due to pilot and crew shortages. In this study, we provide a comprehensive review of this aforementioned body of research literature published during one of the most tumultuous times in the history of aviation, specifically as it relates to air traffic management and air traffic control. We first organize the reviewed literature into three broad categories: strategic air traffic management and response, air traffic control and airport operational changes, and air traffic system resilience. Then, we highlight the main takeaways from each category. We emphasize specific findings that describe how various aspects of the air transportation systems could be improved in the domestic and global airline industry post-COVID. Lastly, we identify specific changes in operational procedures due to the COVID-19 pandemic and suggest future industry trends as informed by the literature. We anticipate this review article to be of interest to a broad swath of aviation industry and intercity transportation audiences.
Blockchain and Smart Cities for Inclusive and Sustainable Communities: A Bibliometric and Systematic Literature Review
Authors: Biasin Massimo , Delle Foglie Andrea
Published: August 2024

Smart cities are urban areas that leverage technological solutions to enhance traditional network management and efficiency to benefit residents and businesses. Based on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, this study presents a systematic literature review aimed at analyzing the existing literature on smart cities research. The literature review specifically focuses on the impact of blockchain technology on the urban environment and its potential to contribute to the development of inclusive and sustainable communities, including financial systems and infrastructures with similar characteristics to serve these societies. The findings reveal a lack of studies on the practical applications of distributed ledger technologies (DLTs), particularly blockchain, that specifically focus on the urban context capable of developing the (financial) ecosystem of smart cities. To address this gap, a future research agenda is proposed, highlighting several research questions that could guide academics and practitioners interested in exploring the development of smart city systems, with particular attention on the financial framework.
Environmental, Geographical, and Economic Impacts of Inbound Tourism in China: A Mixed-Effects Gravity Model Approach
Authors: Zhu Bo , Wang Chien-Chih , Hung Che-Yu
Published: August 2024

This study examines the dynamics of inbound tourism in China, utilizing a mixed-effects gravity model to analyze data from urban clusters around China’s three major airports. The research methodology of the study includes applying advanced econometric techniques, such as the Poisson pseudo-maximum likelihood estimation, to ensure robust and accurate results. The study focuses on international tourist arrivals and foreign exchange earnings, identifying key drivers such as tourism resources, transportation safety, and service quality. Our findings indicate a 10% increase in per capita GDP correlates with a 0.88% rise in inbound tourist numbers. Additionally, proximity to major urban centers like Beijing, Shanghai, and Guangzhou significantly influences tourist arrivals, with every 100 km increase in distance resulting in a 5.56% decrease in tourist numbers. The study also explores the impact of environmental factors on tourism, suggesting that improvements in green coverage and reductions in industrial waste and traffic fatalities could enhance tourist arrivals. Conversely, environmental protection measures can both positively and negatively impact tourism. This research provides a strategic blueprint for policymakers and professionals in tourism and environmental sustainability, emphasizing the importance of integrated environmental sustainability in tourism development strategies. The model accounts for up to 79% of the variability in inbound tourism flows, offering robust evidence that economic and policy dimensions impact tourism.
Do Directors’ Network Positions Affect Corporate Fraud?
Authors: Zeng Sen , Xiao Longjun , Jiang Xueyan , Huang Yiqian , Li Yanru , Yuan Cao
Published: August 2024

Corporate fraud poses a significant obstacle for sustainable business development. Drawing on social network analysis, this paper used data originated from Chinese-listed companies from 2009 to 2022 and found that directors’ network position significantly mitigates corporate fraud. Mechanism tests indicated that the quality of external auditors and internal control play a mediating role in this relationship. Further analysis showed that the network positions of independent directors, non-independent directors, and female directors individually inhibit the inclination of corporate fraud when considering various types of directors. Of note, the busy director hypothesis was not applicable in explaining the impact of directors’ network position on corporate fraud. This study provides a new approach to improving the sustainability of enterprises in newly emerging markets via the analysis of director networks. It is also beneficial to the research on director networks and corporate fraud in companies, offering insights for corporate governance and fraud prevention in companies and regulatory agencies.