bluuebunny/crossref_metadata_2025 huggingface dataset:
Workforce Sustainability in Our Aging Society: Exploring How the Burden–Burnout Mechanism Exacerbates the Turnover Intentions of Employees Who Combine Work and Informal Eldercare
Authors: Vinarski-Peretz Hedva , Mashiach-Eizenberg Michal , Halperin Dafna
Published: September 2024

Understanding the labor market participation shift associated with an aging population and the challenges of employees who provide care to old-age relatives is essential to ensure progress toward the Sustainable Development Goals. The current study focuses on the decision of employees who combine paid work with unpaid care to relatives aged 65 and above to stay or leave their jobs. We draw on the Turnover Model and the Informal Caregivers Integrative Model (ICIM) to examine how two primary stressors—care burden and work demand—one secondary stressor—work–family conflict—and emotional exhaustion increase the turnover intentions of employees who combine paid work with eldercare to their old relatives aged 65 and over. By synthesizing these two models and using a survey with three chronological waves among 356 Israeli employees, we analyze a mediation model within a Structural Equation Modeling framework. The findings underscore the fact that work–family conflict (a secondary stressor) and the sense of exhaustion act as key mediators in the relationship between employees’ primary stressors and turnover intentions. The presence of primary stressors in themselves does not increase turnover intentions. Our findings imply that, rather than providing sporadic adaptations at work, policymakers, organizations, and human resource management systems should respond proactively to prevent the process from undermining employees’ ability to achieve equilibrium between their desire to work and care for their old-age relatives. Such a proactive stance would reduce their exhaustion and turnover intention.
Analysis of Synergistic Drivers of CO2 and NOX Emissions from Thermal Power Generating Units in Beijing–Tianjin–Hebei Region, 2010–2020
Authors: Wang Yaolin , Yuan Zilin , Yan Jun , Zhang Haixu , Guan Qinge , Rao Sheng , Jiang Chunlai , Duan Zhiguo
Published: September 2024

Synergistic control of the emissions of air pollutants and CO2 is critical to the dual challenges of air quality improvement and climate change in China. Based on the emission inventories of thermal power units in Beijing, Tianjin, and Hebei, this study analyzes the CO2 and NOX emission characteristics of these units, and identifies and quantifies the synergistic drivers affecting these emission trends. The inventory data show that, between 2010 and 2020, NOX emissions were reduced by 86.1%, while CO2 emissions were reduced by only 29.8%. Although significant progress has been made in reducing NOX emissions through measures such as end-of-pipe treatment, controlling CO2 emissions remains a difficult task. The index decomposition analysis reveals that economic growth is the main driver of CO2 and NOX emission growth, energy intensity reduction is the main driver of CO2 emission reduction, and end-of-pipe treatment is the main driver of NOX emission reduction. Currently, coal occupies about 87% of the energy consumption of thermal power units in the Beijing–Tianjin–Hebei region, and remains the main type of energy for synergistic emissions, and the potential for emission reduction in the energy structure remains huge. For NOX emissions, it is expected that 90% of the reduction potential can be achieved through energy restructuring and end-of-pipe treatment. In conclusion, this high-precision unit-by-unit emission study confirms the effectiveness of the control policy for thermal power units in the region and provides some scientific reference for future policy formulation.
Comprehensive Study on the Determinants of Green Behaviour of Slovenian Consumers: The Role of Marketing Communication, Lifestyle, Psychological, and Social Determinants
Authors: Krsnik Sabina , Erjavec Karmen
Published: September 2024

Despite the growing importance of green consumption, the green attitude–behaviour gap remains a key challenge, highlighting the discrepancy between consumers’ expressed environmental concerns and their actual sustainable-purchasing practices. This study identified key determinants of consumers’ sustainable behaviours and the influence of sustainable development goals-related marketing communication across socio-demographic groups. A quantitative causal research design was employed based on a self-administered online questionnaire targeting the Slovenian population (N = 502). The findings indicate a positive, though weak (ρ = 0.384), correlation between consumers’ attitudes and their behaviours. A substantial and significant positive influence of marketing communication, psychological, and social determinants on pro-environmental behaviour was found, while lifestyle inhibited this behaviour. An analysis of the marketing communication dimension showed that it had the greatest influence on men, consumers aged 35 years or more and those with lower education and income, especially through the information received, trust, and advertisement attractiveness. These results suggest the need for tailored marketing strategies that emphasise practical benefits and trustworthy information to effectively promote sustainable practices. This research underscores the importance of clear and credible marketing communications in fostering sustainable consumer behaviour, particularly in regions where scepticism towards marketing claims is widespread.
Pro-Ecological Consumer Behavior versus Energy Reduction and Sustainable Consumption: A Case from Poland
Authors: Wyrzykowska Barbara , Czech Artur , Dąbrowska Anna , Rytko Anna
Published: September 2024

The concepts of sustainable consumption and production increased in popularity after the World Summit on Sustainable Development in Johannesburg in 2002. Moreover, the focus of attention was turned to the consumer and their key importance in achieving the goals of more sustainable practices. Hence, the main aim of this article is to present the influence of factors related to pro-ecological consumer behaviors on sustainable consumption including energy-use reduction. Epsilon regression was implemented as the research method. This statistical tool enabled the authors to carry out research on such complex phenomena and make the analysis immune to the high correlation among explanatory variables. Moreover, it allowed the authors to consider interactions in the set of diagnostic variables. The research presented in this paper is based on data drawn from the Barometer of Consumer Social Responsibility in Poland for 2022. As the final result of this research, a ranking of pro-ecological consumer behavior factors was constructed. On the one hand, not buying products using excessive packaging can be considered the most important factor of Polish pro-ecological consumer behaviors. On the other hand, trying to choose more ecological products with comparable prices can be regarded as the factor which has the smallest impact. Furthermore, the presented method also allowed for determining the contribution of individual factors to the pro-ecological behavior of consumers.
The Impact and Mechanism of ESG Performance on Corporate Continuous Innovation: Evidence from China
Authors: Ren Li , Cheng Yanping
Published: September 2024

In recent years, investing based on ESG performance has become a mainstream investment strategy in the market. In this context, this study selected A-share listed companies from 2010 to 2022 as samples and adopted a panel fixed-effect model to empirically test the impact and mechanism of ESG performance on continuous innovation. The research showed that ESG performance could significantly promote corporate continuous innovation. The mechanism tests found it worked mainly through the channels of alleviating financing constraints, increasing social trust, reducing agency costs, focusing on human capital, and enhancing social capital. Heterogeneity tests found that this effect was more significant for state-owned enterprises, weak marketization, and epidemic shocks. Further research showed that ESG exhibited a more significant level of sustained innovation in the growth and maturity stages. And ESG performance had a significant contribution to corporate innovation resilience. The conclusions of this study enrich the research in the field of ESG performance and corporate continuous innovation and provide empirical evidence for strengthening sustainable development strategies.
Floodplains as a Suitable Habitat for Freshwater Fish: The Length–Weight Relationships and Condition Factors of Fish Inhabiting a Danube Floodplain in Croatia
Authors: Vuić Nera , Turković Čakalić Ivana , Koh Miran , Ergović Viktorija , Vlaičević Barbara , Šag Matej , Rožac Vlatko , Čerba Dubravka
Published: September 2024

When studying the well-being and fitness of ichthyofauna in a specific area, vital information comes from length–weight relationships (LWRs) and condition factor analyses and calculations. Data were collected from 2015 to 2019 in an area important for fish shelter, feeding, and spawning. Twenty four species belonging to 10 different families were identified from the total 16,895 of caught individuals, with the most abundant species being Blicca bjoerkna. The calculation of LWRs was possible for 19 species, (R2 = 0.7049–0.9998 (p < 0.05)), with the values of the mean coefficient b ranging from 2.6831 to 3.5747, indicating an overall positive allometric growth in the fish population. The results of Fulton’s and the relative condition factors showed that a total of eight species were in a relatively good condition, although the species in question varied between the two condition factors. Fulton’s condition factor showed the highest average value for Lepomis gibbosus (1.4956), while Cobitis elongatoides had the lowest (0.4739). Contrarily, the relative condition factor showed the highest average value for Silurus glanis (1.0524), and the lowest for Gymnocephalus cernua (1.0023). The lower values of calculated condition factors in some species could be attributed to sampling being conducted during the colder months of autumn and winter. Future studies should include seasonal sampling in order to achieve a better understanding how various abiotic factors impact the condition factors of these fish species. Nevertheless, this research provided valuable data on the status of the fish population in the floodplain and could be used as a guideline for designing future ichthyofauna studies in this area.
Nepali Migrant Workers and Their Occupational Health Hazards in the Workplace: A Scoping Review
Authors: Wasti Sharada Prasad , Babatunde Emmanuel , Bhatta Santosh , Shrestha Ayushka , Wasti Pratikshya , GC Vijay S.
Published: September 2024

An increasing number of people are relocating to search for work, leading to substantial implications for both local and global health. Approximately 3.6% of the global population (281 million) migrates annually. Nepal has experienced a notable surge in labour migration in recent years, with a substantial proportion of its residents actively seeking work opportunities abroad. Understanding work-related risks is crucial for informing policies, interventions, and practices that can improve the welfare of this hard-to-reach population. This scoping review aims to systematically identify and analyse occupational health hazards encountered by Nepali migrant workers employed overseas. Medline, Scopus, Directory of Open Access Journals (DOAJ), and the NepJOL databases were systematically searched for primary research papers published in English up to July 2024. Relevant data, including workplace hazards and their impact on health outcomes, were extracted and narratively synthesised by highlighting key themes in the existing literature. A total of 24 articles met the inclusion criteria and were included in this review. Of these, twelve studies were conducted in Nepal, five in Gulf countries, four in Malaysia, two in Hong Kong, and one each in India and Korea. Workplace injuries (motor vehicle injuries, machinery injuries, falls from a height, and falls on a heavy object), poor working environment (including long working hours, work without leave, discrepancy in pay scale, limited access to drinking water and toilet/bathroom facilities), workplace abuse, sexual abuse, and torture were identified as key occupational health hazards faced by the Nepali migrant workers abroad. Multi-level intervention strategies, such as safety training standards, improving working conditions, and eliminating exploitative labour practices, are critical to improving occupational health and safety standards for Nepali migrant workers abroad. This includes creating a supportive working environment where employees can easily and timely access health services as needed.
Research on Carbon Cap Regulation, Retailer Altruistic Preferences, and Green Decision-Making of Manufacturing Enterprises
Authors: Sun Xiaoxuan , Ma Guangcheng
Published: September 2024

As manufacturing advances swiftly and public consciousness about low-carbon practices rises, eco-friendly supply chains have seen significant expansion. This study investigates a government-driven green supply chain in two phases, involving a producer and a seller. Four scenario game models are established to determine whether the manufacturer engages in green technology innovation or whether the retailer has altruistic preferences. The Stackelberg game was used to analyze changes in government carbon quota regulations, retail prices of retailers, and manufacturers’ carbon reduction efforts in the context of carbon market trading. Research shows that the government will set looser carbon emission limits for manufacturers when retailers have no altruistic preferences. When carbon prices in the market are low, encouraging manufacturers to invest in green technology innovation enhances social welfare. This study offers essential theoretical backing for the government in crafting carbon quota regulations and aids businesses in making prompt technological innovation choices.
Research on the Influence of Firm Digital Intelligence Transformation and Management Innovation on Performance and Sustainable Development: Empirical Evidence from China
Authors: Liu Yutong , Song Peiyi
Published: September 2024

From the perspective of firm capability, this study explores the impact of digital intelligence transformation and management innovation on the performance and sustainable development of Chinese firms. On the basis of constructing an evaluation index system of firm digital intelligence transformation and management innovation, a comprehensive evaluation model of firm digital intelligence transformation and management innovation is constructed via the analytic network process (ANP) and fuzzy comprehensive evaluation method. Taking Chinese film and television firms as an example, this study selects 160 data samples from 85 firms and constructs a structural equation model to empirically analyze the impact of digital intelligence transformation and management innovation on the performance of firms. The study results show that, in the context of digitalization and intelligence, firm digital intelligence capability and dynamic capability have a significant positive effect on firm performance. Firm digital intelligence transformation and management innovation directly impact performance and can play a role through firm digital intelligence capability and dynamic capability as intermediaries, and the chain intermediary effect of digital intelligence capability and dynamic capability is significant. The research results show that firm digital intelligence and dynamic capabilities provide a functional path for firm digital intelligence transformation and management innovation to improve performance. Moreover, the innovative application of digital intelligence technology has an important impact on the sustainable development of firms. Digital transformation and management innovation can help firms enhance their ability to manage environmental uncertainties, improve firm performance and foster the achievement of sustainable development goals.
Sustainable Healthcare in China: Analysis of User Satisfaction, Reuse Intention, and Electronic Word-of-Mouth for Online Health Service Platforms
Authors: Jin Jiexiang , Ryu Mi Hyun
Published: September 2024

Online health service (OHS) platforms can provide sustainable healthcare services in China where healthcare demand continues to grow along with the scarcity of healthcare resources. This study investigated the levels of satisfaction of Chinese consumers’ experiences with OHS platforms and their reuse and electronic word-of-mouth (e-WOM) recommendation intentions. This study provides data for educating consumers on OHS platforms and for guiding strategic business planning for the OHS market. The theoretical model applied was the theory of planned behavior, augmented by integrating factors such as perceived service quality and subjective knowledge into its framework. Data were collected in April 2024 through an online survey of Chinese consumers who had used OHS platforms in the past year. The data were assessed using structural equation modeling and multiple group analysis. The findings indicate that various factors, including attitudes, perceived interaction quality, behavioral control, perceived system quality, perceived information quality, and subjective knowledge concerning OHS platforms, are significant enhancers of user satisfaction and reuse and e-WOM intentions. Health consciousness is a moderating variable in the dynamics between consumer satisfaction and their propensity to engage in e-WOM. Strategies targeting factors that influence satisfaction require development.
How Environmental Policy Perception and Social Media Use Impact Pro-Environmental Behavior: A Moderated Mediation Model Based on the Theory of Planned Behavior
Authors: Liu Meng , Shi Ze , Zhang Zaisheng
Published: September 2024

Pro-environmental behavior (PEB) is an essential source for solving environmental problems and implementing sustainable development. This study reveals the antecedent mechanisms of PEB from the joint perspective of environmental policy perception (EPP) and social media use (SMU). We developed a moderated mediation model based on the theory of planned behavior (TPB) and tested the hypotheses using questionnaire data from 408 residents in Tianjin, China. The results indicated that EPP positively affects PEB and that attitude and perceived behavioral control in the TPB framework mediate the relationship between EPP and PEB. SMU not only has a positive effect on PEB but also remotely mediates the effect of EPP on PEB together with perceived behavioral control. Furthermore, gender and age have a positive moderating impact on EPP. This study provides the first theoretical and empirical explanation of how EPP influences PEB within a systematic TPB framework while also introducing SMU as an innovative expansion of the explanatory model. This study also provides recommendations for policymakers on environmental management practices.
The Effects of Land Use and Landform Transformation on the Vertical Distribution of Soil Nitrogen in Small Catchments
Authors: Yu Yunlong , Wang Shanshan , Qiu Junping
Published: September 2024

The diversity of land use and consolidation is fundamental to ensuring sustainable development. However, the impact of diverse land uses and consolidation on the well-known shallow accumulation pattern of soil nitrogen (N) remains unclear. This existence of this knowledge gap severely constrains the sustainable production of newly created farmland. Therefore, the objective of this study was to investigate the effects of land use and gully land transformation on the vertical distribution of soil N in agricultural and nature catchments. Methodologically, soil nitrate (NO3−), ammonium (NH4+) and total nitrogen (TN) were measured to a depth of 100 cm in the hillslope forestland, grassland and gully cropland areas of the treated (gully landform reshaping) and untreated (natural gully) catchments on the Chinese Loess Plateau (CLP). The results indicated that soil N in the hillslope forestland and grassland exhibited a shallow accumulation pattern, while the vertical distribution of soil N in the gully cropland areas displayed a homogeneous, random or deep accumulation pattern. In the hillslope areas, vegetable cover was the dominant factor controlling N variation in the topsoil. In contrast, in the gully areas, the interaction of landform transformation and hydrology was the primary factor influencing the distribution of soil N. In the treated catchment, soil NO3− exhibited a significant deep accumulation pattern in the newly created farmland through gully landform reshaping. In the untreated catchment, soil NH4+ showed a significant deep accumulation pattern in the undisturbed natural gully. This study provides valuable insights into how land use and gully landform transformation affect the soil N profile. This information is crucial for the sustainable development and scientific management of valley agriculture at the catchment scale.
An Experimental Study of the Retention Effect of Urban Drainage Systems in Response to Grate Inlet Clogging
Authors: Yeom Seongil , Ahn Jungkyu
Published: September 2024

The rainfall drainage characteristics of urban areas result in more surface runoff compared to soil surfaces. Conventional Urban Drainage Systems, CUDs, have disadvantages when managing this surface runoff, leading to urban water circulation issues such as flooding and depletion of groundwater. The performance of CUDs varies significantly depending on the clogging of grate inlets with various debris and shapes. To address these disadvantages, Sustainable Urban Drainage Systems, SUDs, have been proposed. This study compares the drainage efficiency of the two systems; using a physical model with an artificial rainfall simulator, an experimental study was conducted with respect to clogging type, clogging ratio, and rainfall intensity. Comparative analysis of peak flow rates and the peak time demonstrates the advantages of IRDs. As a result, IRDs are applicable to the mitigation of urban water circulation problems such as inundation.
A Numerical Simulation-Based Adaptation of the Pedestrian-Level Wind Environment in Village Streets: A Case Study on the Chuan Dao Area of the Hanjiang River in Southern Shaanxi
Authors: Liu Yuanhao , Wang Jinming , Bai Wei , Dewancker Bart , Gao Weijun
Published: September 2024

Village streets are indispensable spaces for people to perform outdoor activities, and they also directly affect the outdoor wind environment in villages. At present, people are paying more attention to the wind environment comfort of urban residential areas and urban commercial streets, but there is a lack of attention and research on the wind environment comfort of village and town streets. By summarizing the field research and meteorological data of Lefeng Village, we propose the outdoor wind environment evaluation requirements applicable to the Hanjiang River’s Chuan Dao area in the winter and summer seasons. We found that more than 80% of the outdoor wind environment in the summer is less than 1 m/s. Based on the numerical simulation method of computational fluid dynamics, and on the basis of the characteristics of the streets and lanes in the Hanjiang River’s Chuan Dao area, we found that the wind environment is poor in the winter and summer seasons; regarding streets and lanes, we propose three appropriate values, namely building density, building height, and street width. It is suggested that it is appropriate for the building density of the area to be less than 36%, the height of the building to be less than 15 m, and the width of the street to be 6–11 m when the street is open to traffic and 3–6 m when only pedestrians are passing through the area.
A Comparative Life Cycle Assessment (LCA) of a Composite Bamboo Shear Wall System Developed for El Salvador
Authors: Young Louisa , Kaminski Sebastian , Kovacs Mike , Zea Escamilla Edwin
Published: September 2024

To meet the UN sustainable development goal targets by 2030, it is necessary to provide adequate, resilient, and affordable housing solutions which are also low-carbon. In the context of affordable housing in El Salvador, an improved vernacular construction system, following the composite bamboo shear wall (CBSW) technology, has been developed as a feasible option to fill the current housing deficit. A life cycle assessment (LCA) has been conducted comparing a house built using the CBSW system with a reinforced concrete hollow block masonry system, considering the A1 to A5 (raw material production and manufacture) and B4 (replacement) life cycle modules. The LCA scope was limited to modules where there was sufficient confidence in the inputs. End-of-life modules were excluded as there is a large degree of uncertainty in the end-of-life scenarios for these materials in the regional context. The LCA results show that the CBSW system has approximately 64% of the global warming potential (GWP) of the reinforced masonry house, and when considering biogenic carbon, this reduces to 53%. There is additional potential to minimise impacts and maximise end-of-life opportunities (e.g., re-use, biofuel, etc.) for the biomaterials within the CBSW system, if considering modules beyond the scope of this paper, and this needs further study. Nevertheless, the results from this LCA—of limited A1 to A5 and B4 scope—show that the CBSW system has significant sustainability advantages over conventional construction systems and is considered a promising solution to alleviate the housing deficit in El Salvador.
Research on Classification Maintenance Strategy for More Electric Aircraft Actuation Systems Based on Importance Measure
Authors: Cui Xiaoyu , Li Xuanhao , Zhao Zhiyao , Yu Jiabin , Liu Di
Published: September 2024

In this paper, a practical maintenance algorithm is proposed to improve the reliability of actuation systems and their components, specifically addressing the consistency degradation caused by faults in the symmetric actuation system components of more electric aircraft (MEA). By integrating important measures with traditional genetic algorithms, the accuracy of the algorithm is improved. Prior to maintenance, a reasonable classification of components is built to mitigate the adverse effects of extreme fault conditions on the algorithm. This approach improves both the effectiveness and efficiency of the algorithm, rendering the overall maintenance strategy better suited for real-world needs. Finally, comparative simulations confirm the algorithm’s superior performance in reliability improvement, demonstrating its substantial contribution to the field of MEA maintenance and reliability.
Geometric Parameter Effects on Bandgap Characteristics of Periodic Pile Barriers in Passive Vibration Isolation
Authors: Liu Jinglei , Li Xiuxin , Cao Jinyuan , Duan Zhengchun , Ye Qingzhi , Feng Guishuai
Published: September 2024

To investigate the impact of the geometric parameters of periodic pile barriers on bandgap characteristics in passive vibration isolation, a two-dimensional, three-component unit cell was developed using the finite element method (FEM). This study analyzed the bandgap properties of periodic pile barriers and validated the effectiveness of the FEM through model testing. The FEM was then methodically applied to evaluate the effects of pipe pile thickness, periodic constant, arrangement pattern, and cross-sectional shape on the bandgap characteristics, culminating in the proposition of a novel H-shaped cross-section for the piles. The results demonstrated that the FEM-calculated bandgap frequency range, featuring steel piles arranged in a square pattern, closely aligned with the attenuation zone in the model tests. The lower band frequency (LBF) was primarily influenced by the pipe pile’s inner radius, while the upper band frequency (UBF) was predominantly affected by its outer radius. As the periodic constant increased, the LBF, UBF, and the width of band gap (WBG) all decreased. Conversely, changing the arrangement pattern from square to hexagonal led to increases in UBF and WBG, while the LBF diminished. Notably, the WBG of the H-section steel piles, possessing the same cross-sectional area, was 1.31 times greater than that of the steel pipe piles, indicating an enhanced vibration isolation performance. Additionally, the impact of transverse and vertical characteristic dimensions of the H-shaped pile on the band gap distribution was assessed, revealing that the transverse characteristic dimensions exerted a more significant influence than the vertical dimensions.
The Optimal Experimental Design for Exponentiated Frech’et Lifetime Products
Authors: Wu Shu-Fei
Published: September 2024

In many manufacturing industries, the lifetime performance index CL is utilized to assess the manufacturing process performance for products following some lifetime distributions and subjecting them to progressive type I interval censoring. This paper aims to explore the sampling design required to achieve a specified level of significance and test power for products with lifetimes following the Exponentiated Frech’et distribution. Since lifetime distribution is an asymmetrical probability distribution, this investigation is related to the topic of asymmetrical probability distributions and applications in various fields. When the termination time is fixed but the number of intervals is variable, the optimal number of inspection intervals and sample sizes yielding the minimized total experimental costs are determined and tabulated. When the termination time is varying, the optimal number of inspection intervals, sample sizes, and equal interval lengths achieving the minimum total experimental costs are determined and tabulated. Optimal parameter values are displayed in tabular form for feasible applications for users. Additionally, a practical example is provided to illustrate how this sampling design can be used to collect data by using the optimal setup of parameters, followed by a testing procedure to assess the capability of the production process.
A Unified Hardware Design for Multiplication, Division, and Square Roots Using Binary Logarithms
Authors: Ngo Dat , Han Siyeon , Kang Bongsoon
Published: September 2024

Multiplication, division, and square root operations introduce significant challenges in digital signal processing (DSP) systems, traditionally requiring multiple operations that increase execution time and hardware complexity. This study presents a novel approach that leverages binary logarithms to perform these operations using only addition, subtraction, and shifts, enabling a unified hardware implementation—a marked departure from conventional methods that handle these operations separately. The proposed design, involving logarithm and antilogarithm calculations, exhibits an algebraically symmetrical pattern that further optimizes the processing flow. Additionally, this study introduces innovative log-domain correction terms specifically designed to minimize computation errors—a critical improvement over existing methods that often struggle with precision. Compared to standard hardware implementations, the proposed design significantly reduces hardware resource utilization and power consumption while maintaining high operational frequency.
On the Positive Role of Noise and Error in Complex Systems
Authors: Roli Andrea , Braccini Michele , Stano Pasquale
Published: September 2024

Noise and error are usually considered to be disturbances negatively affecting the behavior of a system. Nevertheless, from a systemic perspective, taking into account openness and incompleteness of complex systems, noise and error may assume a creative, constructive, and positive role in that they are a source of novelty that can trigger the reorganization of the system, the growth of complexity, and the emergence of new meaning. Examples of this phenomenon can be found in evolutionary phenomena driven by affordances, the formation of new attractors in dynamic systems responding to external perturbations, and improvisation in music. We argue that it is possible to identify general properties that enable the positive effect of noise and errors in complex systems, namely, multilevel organization, redundancy, incompleteness, and criticality. These properties play a major role in living systems and can guide the design of robust and adaptive artificial systems.
Research on the Synergistic Evolution of Comprehensive Transportation Network System in the Yellow River Basin Aimed at High-Quality Development
Authors: Zhang Xuehui , Tang Zhen , Luo Wei
Published: September 2024

The high-quality development of the Yellow River Basin is still facing the issue of imbalance and inadequacy, and it urgently requires the backing and assistance of a well-coordinated and efficient comprehensive transportation network system. Based on this purpose, this study uses a composite system synergy degree model incorporating “mode dimension + regional dimension” to analyze the evolution of this network. The results indicate the following: (1) Railway and air transportation surpass highway transportation in growth and synergy, though overall system synergy is still low. (2) Downstream areas are gradually taking the lead, and the orderliness of each subsystem is gradually becoming consistent. The complexity and variability of the composite system’s synergy are high, with an overall low level of synergy. Overall, despite improvements in service capacity and quality, better integration of different transport modes and enhanced cross-regional cooperation are needed. This study reveals and analyzes in depth the complexity of the comprehensive transportation network system in the Yellow River Basin and its spatiotemporal characteristics of synergistic evolution. We propose suggestions for high-quality development at national, regional, and industry levels, fostering the continuous improvement of the system structure, which aids in overcoming the tangible obstacles faced by the high-quality development of the Yellow River Basin.
Innovating Airport Luggage Disinfection Systems with Advanced Technologies and Automation
Authors: Al-Rabeei Samer , Hovanec Michal , Tymofiiv Volodymyr , Horkay Juraj
Published: September 2024

In this article, we point out that luggage disinfection is a key step in stopping the spread of infectious diseases that can be contracted at airports due to viruses and bacteria, which can spread through passenger luggage at airports. To prevent the spread of respiratory infections at airports, in this research study, we compare two types of baggage disinfection system. The first method uses UV light to disinfect luggage while selectively checking it for the presence of bacteria and viruses. The second system uses non-selective disinfection, taking into account the possibility of the spread of disease from the aircraft’s home country. An analysis and simulation of a specific airport security procedure was carried out on the model under study, which is an automated system for disinfecting baggage at airports in two variants. The aim is to reduce the transmission of harmful diseases and, at the same time, to ensure the accuracy of passenger security screening by efficiently exhausting each of the proposed models. This research shows that the suggested measures to stop the spread of infectious diseases that travelers’ luggage can bring in will enhance screening procedures and, in particular, boost overall security while lowering the risk of infection transmission at airports.
Advancing Sustainable Cyber-Physical System Development with a Digital Twins and Language Engineering Approach: Smart Greenhouse Applications
Authors: Subahi Ahmad F.
Published: September 2024

In recent years, the integration of Internet of Things technologies in smart agriculture has become critical for sustainability and efficiency, to the extent that recent improvements have transformed greenhouse farming. This study investigated the complexity of IoT architecture in smart greenhouses by introducing a greenhouse language family (GreenH) that comprises three domain-specific languages designed to address various tasks in this domain. The purpose of this research was to streamline the creation, simulation, and monitoring of digital twins, an essential tool for optimizing greenhouse operations. A three-stage methodology was employed to develop the GreenH DSLs, a detailed metamodel for enhanced smart monitoring systems. Our approach used high-level metamodels and extended Backus–Naur form notation to define the DSL syntax and semantics. Through a comprehensive evaluation strategy and a selected language usability metrics, the expressiveness, consistency, readability, correctness, and scalability of the DSL were affirmed, and areas for usability improvement were highlighted. The findings suggest that GreenH languages hold significant potential for advancing digital twin modeling in smart agriculture. Future work should be aimed at refining usability and extending its application range. The anticipated integration with additional model-drive engineering and code generation tools will improve interoperability and contribute to digital transformation in the smart greenhouse domain and promote more sustainable food production systems.
Apoptosis and Oxidative Stress in Human Intestinal Epithelial Caco-2 Cells Caused by Marine Phycotoxin Azaspiracid-2
Authors: Zhao Liye , Qiu Jiangbing , Zhang Jingrui , Li Aifeng , Wang Guixiang
Published: September 2024

When humans consume seafood contaminated by lipophilic polyether phycotoxins, such as azaspiracids (AZAs), the toxins are mainly leached and absorbed in the small intestine, potentially causing intestinal damage. In this study, human intestinal epithelial Caco-2 cells were used to investigate the adverse effects of azaspiracid-2 (AZA-2) on human intestinal epithelial cells. Cell viability, apoptosis, oxidative damage and mitochondrial ultrastructure were investigated, and ribonucleic acid sequence (RNA-seq) analysis was applied to explore the potential mechanisms of AZA-2 toxicity to Caco-2 cells. Results showed that AZA-2 significantly reduced the proliferation of Caco-2 cells in a concentration-dependent response, and the 48 h EC50 of AZA-2 was 12.65 nmol L−1. AZA-2 can induce apoptosis in Caco-2 cells in a dose-dependent manner. Visible mitochondrial swelling, cristae disintegration, membrane rupture and autophagy were observed in Caco-2 cells exposed to AZA-2. Reactive oxygen species (ROS) and malondialdehyde (MDA) content were significantly increased in Caco-2 cells after 48 h of exposure to 1 and 10 nmol L−1 of AZA-2. Transcriptome analysis showed that KEGG pathways related to cellular oxidative damage and lipid metabolism were affected, mainly including mitophagy, oxidative phosphorylation, cholesterol metabolism, vitamin digestion and absorption, bile secretion and the peroxisome proliferator-activated receptor signaling pathway. The cytotoxic effects of AZA-2 on Caco-2 cells may be associated with ROS-mediated autophagy and apoptosis in mitochondrial cells. Results of this study improve understanding of the cytotoxicity and molecular mechanisms of AZA-2 on Caco-2 cells, which is significant for protecting human health.
Towards the Development of a Minigenome Assay for Species A Rotaviruses
Authors: Diebold Ola , Zhou Shu , Sharp Colin Peter , Tesla Blanka , Chook Hou Wei , Digard Paul , Gaunt Eleanor R.
Published: September 2024

RNA virus polymerases carry out multiple functions necessary for successful genome replication and transcription. A key tool for molecular studies of viral RNA-dependent RNA polymerases (RdRps) is a ‘minigenome’ or ‘minireplicon’ assay, in which viral RdRps are reconstituted in cells in the absence of full virus infection. Typically, plasmids expressing the viral polymerase protein(s) and other co-factors are co-transfected, along with a plasmid expressing an RNA encoding a fluorescent or luminescent reporter gene flanked by viral untranslated regions containing cis-acting elements required for viral RdRp recognition. This reconstitutes the viral transcription/replication machinery and allows the viral RdRp activity to be measured as a correlate of the reporter protein signal. Here, we report on the development of a ‘first-generation’ plasmid-based minigenome assay for species A rotavirus using a firefly luciferase reporter gene.
The Prevalence and Molecular Characterization of Bovine Leukemia Virus among Dairy Cattle in Henan Province, China
Authors: Zhao Yuxi , Zhu Xiaojie , Zhang Zhen , Chen Jianguo , Chen Yingyu , Hu Changmin , Chen Xi , Robertson Ian D. , Guo Aizhen
Published: September 2024

Enzootic bovine leukosis, a neoplastic disease caused by the bovine leukemia virus (BLV), was the primary cancer affecting cattle in China before 1985. Although its prevalence decreased significantly between 1986 and 2000, enzootic bovine leukosis has been re-emerging since 2000. This re-emergence has been largely overlooked, possibly due to the latent nature of BLV infection or the perceived lack of sufficient evidence. This study investigated the molecular epidemiology of BLV infections in dairy cattle in Henan province, Central China. Blood samples from 668 dairy cattle across nine farms were tested using nested polymerase chain reaction assays targeting the partial envelope (env) gene (gp51 fragment). Twenty-three samples tested positive (animal-level prevalence of 3.4%; 95% confidence interval: 2.2, 5.1). The full-length env gene sequences from these positive samples were obtained and phylogenetically analyzed, along with previously reported sequences from the GenBank database. The sequences from positive samples were clustered into four genotypes (1, 4, 6, and 7). The geographical annotation of the maximum clade credibility trees suggested that the two genotype 1 strains in Henan might have originated from Japan, while the genotype 7 strain is likely to have originated from Moldova. Subsequent Bayesian stochastic search variable selection analysis further indicated a strong geographical association between the Henan strains and Japan, as well as Moldova. The estimated substitution rate for the env gene ranged from 4.39 × 10−4 to 2.38 × 10−3 substitutions per site per year. Additionally, codons 291, 326, 385, and 480 were identified as positively selected sites, potentially associated with membrane fusion, epitope peptide vaccine design, and transmembrane signal transduction. These findings contribute to the broader understanding of BLV epidemiology in Chinese dairy cattle and highlight the need for measures to mitigate further BLV transmission within and between cattle herds in China.
Production and Characterization of Self-Assembled Virus-like Particles Comprising Capsid Proteins from Genotypes 3 and 4 Hepatitis E Virus (HEV) and Rabbit HEV Expressed in Escherichia coli
Authors: Kobayashi Tominari , Takahashi Masaharu , Ohta Satoshi , Hoshino Yu , Yamada Kentaro , Jirintai Suljid , Primadharsini Putu Prathiwi , Nagashima Shigeo , Murata Kazumoto , Okamoto Hiroaki
Published: September 2024

The zoonotic transmission of hepatitis E virus (HEV) genotypes 3 (HEV-3) and 4 (HEV-4), and rabbit HEV (HEV-3ra) has been documented. Vaccination against HEV infection depends on the capsid (open reading frame 2, ORF2) protein, which is highly immunogenic and elicits effective virus-neutralizing antibodies. Escherichia coli (E. coli) is utilized as an effective system for producing HEV-like particles (VLPs). However, research on the production of ORF2 proteins from these HEV genotypes in E. coli to form VLPs has been modest. In this study, we constructed 21 recombinant plasmids expressing various N-terminally and C-terminally truncated HEV ORF2 proteins for HEV-3, HEV-3ra, and HEV-4 in E. coli. We successfully obtained nine HEV-3, two HEV-3ra, and ten HEV-4 ORF2 proteins, which were primarily localized in inclusion bodies. These proteins were solubilized in 4 M urea, filtered, and subjected to gel filtration. Results revealed that six HEV-3, one HEV-3ra, and two HEV-4 truncated proteins could assemble into VLPs. The purified VLPs displayed molecular weights ranging from 27.1 to 63.4 kDa and demonstrated high purity (74.7–95.3%), as assessed by bioanalyzer, with yields of 13.9–89.6 mg per 100 mL of TB medium. Immunoelectron microscopy confirmed the origin of these VLPs from HEV ORF2. Antigenicity testing indicated that these VLPs possess characteristic HEV antigenicity. Evaluation of immunogenicity in Balb/cAJcl mice revealed robust anti-HEV IgG responses, highlighting the potential of these VLPs as immunogens. These findings suggest that the generated HEV VLPs of different genotypes could serve as valuable tools for HEV research and vaccine development.
Combating the Co-Circulation of SARS-CoV-2 and Seasonal Influenza: Identifying Multi-Dimensional Factors Associated with the Uptake of Seasonal Influenza Vaccine among a Chinese National Sample
Authors: Zhang Xiaoying , Zheng Pinpin , Chen Xuewei , Li Ang , Na Lixin
Published: September 2024

Introduction: The co-circulation of COVID-19 and seasonal influenza highlighted the importance of promoting influenza vaccination. However, the influenza vaccination rate among the Chinese population is low and requires further promotion. This study examined multi-dimensional factors, such as knowledge of seasonal influenza, health perceptions, cues to action, patient–provider relationships, and COVID-19 pandemic-related factors, in relation to the uptake of the seasonal influenza vaccine (SIV) among the Chinese population. Methods: A cross-sectional, self-administered online survey using a quota sampling method was conducted among Chinese adults 18 years and older between June and August 2022. Multivariate logistic regression was performed to explore factors associated with the 2021 SIV behavior. Results: A total of 3161 individuals from different regions of China were included in this study. The multivariate logistic regression demonstrated that perceived severity of influenza, perceived barriers to taking SIV, cues to action, a stable relationship with providers, worry about contracting COVID-19 in immunization settings, non-pharmaceutical interventions (NPIs), and awareness of the influenza vaccine in protecting against COVID-19 were significantly associated with the SIV uptake. Conclusions: This study examined multi-dimensional factors that may influence SIV uptake. Health promotion programs should incorporate multi-dimensional factors, including personal and environmental factors, related to SIV promotion during the co-circulation period.
A Comparative Study on 2015 and 2023 Chennai Flooding: A Multifactorial Perspective
Authors: Radhakrishnan Selvakumar , Duraisamy Rajasekaran Sakthi Kiran , Sujatha Evangelin Ramani , Neelakantan T. R.
Published: September 2024

Floods are highly destructive natural disasters. Climate change and urbanization greatly impact their severity and frequency. Understanding flood causes in urban areas is essential due to significant economic and social impacts. Hydrological data and satellite imagery are critical for assessing and managing flood effects. This study uses satellite images, climate anomalies, reservoir data, and cyclonic activity to examine the 2015 and 2023 floods in Chennai, Kanchipuram, and Thiruvallur districts, Tamil Nadu. Synthetic-aperture radar (SAR) satellite data were used to delineate flood extents, and this information was integrated with reservoir data to understand the hydrological dynamics of floods. The classification and regression tree (CART) model delineates flood zones in Chennai, Kanchipuram, and Thiruvallur during the flood years. The study region is highly susceptible to climatic events such as monsoons and cyclones, leading to recurrent flooding. The region’s reservoirs discharged floodwaters exceeding 35,000 cubic meters per second in 2015 and 15,000 cubic meters per second in 2023. Further, the study examines the roles of the Indian Ocean Dipole (IOD), which reached its peak values of 0.33 and 3.96 (positive IOD), and El Niño in causing floods here. The complex network of waterways and large reservoirs poses challenges for flood management. This research offers valuable insights for improving the region’s flood preparedness, response strategies, and overall disaster management.