bluuebunny/crossref_metadata_2025 huggingface dataset:
Artificial General Intelligence for the Detection of Neurodegenerative Disorders
Authors: Qadri Yazdan Ahmad , Ahmad Khurshid , Kim Sung Won
Published: October 2024

Parkinson’s disease and Alzheimer’s disease are among the most common neurodegenerative disorders. These diseases are correlated with advancing age and are hence increasingly becoming prevalent in developed countries due to an increasingly aging demographic. Several tools are used to predict and diagnose these diseases, including pathological and genetic tests, radiological scans, and clinical examinations. Artificial intelligence is evolving to artificial general intelligence, which mimics the human learning process. Large language models can use an enormous volume of online and offline resources to gain knowledge and use it to perform different types of tasks. This work presents an understanding of two major neurodegenerative disorders, artificial general intelligence, and the efficacy of using artificial general intelligence in detecting and predicting these neurodegenerative disorders. A detailed discussion on detecting these neurodegenerative diseases using artificial general intelligence by analyzing diagnostic data is presented. An Internet of Things-based ubiquitous monitoring and treatment framework is presented. An outline for future research opportunities based on the challenges in this area is also presented.
Variations in Personality Traits Among Top Judo Referees from 2018 to 2022 Based on Gender Differences
Authors: Lampe Nuša , Kajmović Husnija , Lascau Florin Daniel , Nančovska Šerbec Irena , Meško Maja
Published: October 2024

The personality traits of top judo referees are crucial for fair decision-making in elite competitions, shaping the experience for athletes, coaches, and spectators. This study examines potential differences in personality traits among 63 referees from the World Judo Tour between 1 January 2018 and 31 December 2022. Factors analyzed include completing the IJF Academy course Level 1, elite athlete status, number of officiated events, performance ratings, and participation in the Olympic or Paralympic Games. Our research shows that older referees tend to exhibit greater extraversion, whereas less experienced officials show lower levels of this trait. Referees with limited experience generally demonstrate higher agreeableness than their more experienced counterparts. Female referees and those with top performance ratings display greater conscientiousness than male referees. Completing the IJF Academy course is associated with lower neuroticism, while lower performance ratings are linked to higher neuroticism. Openness tends to decrease with increased officiating experience, with less experienced referees showing higher levels of this trait. In conclusion, competitive experience, training completion, and officiating tenure are associated with specific personality traits among judo referees, highlighting the importance of continuous training for effective officiating. The analysis of personality traits revealed no statistically significant differences between male and female referees in the dimensions measured by the BFI (Big Five Inventory). This indicates that the levels of extraversion, agreeableness, conscientiousness, neuroticism, and openness were similar for both genders, with no significant variation in how these traits were expressed.
Evaluation and Influencing Factors of Regional Green Innovation Efficiency Based on the Lasso Method
Authors: Yu Long , Liao Yang , Hou Renyong , Peng Weihua
Published: October 2024

Regional green innovation efficiency is affected by multiple factors. Based on the undesirable output of 11 provinces in the Yangtze River Economic Belt from 2012–2021, this paper uses the Super-SBM model containing undesirable outputs to measure and analyze the regional green innovation efficiency and tests the variables affecting regional green innovation efficiency through lasso regression. Stepwise regression and least squares estimation are used to prove the rationality of the lasso regression model. The results show that the regional green innovation efficiency of the Yangtze River Economic Belt during 2012–2021 among different regions has differences that manifest as the efficiency of the lower, middle, and upper reaches decreases successively, and the differences decrease gradually over time. All the variables affecting the regional green innovation efficiency pass the lasso regression variable screening test, and most of the influencing factors positively promote the regional green innovation efficiency and are more explanatory than the stepwise regression and the least squares proof model.
Multiple Recycling of Wood–Plastic Recycled Composite (WPRC): Developing a Method to Evaluate the Degree of Degradation of Used WPRC
Authors: Kojiro Keisuke , Kusumoto Akane , Horiyama Hiroaki , Sumiyoshi Makoto , Iwamoto Masaaki , Ishimoto Koji , Furuta Yuzo
Published: October 2024

Wood–plastic recycled composite (WPRC) are composites obtained by heating and mixing the main raw material, wood flour, with thermoplastic resin, containing at least 40% by mass of recycled material in the raw material. In order to promote the multiple-recycling of WPRC to reduce greenhouse gas emissions and ensure the sustainability of resources, three types of WPRC decking materials with different exposure conditions (outdoor-exposed product, unexposed product and product stored in the factory for a long time) and samples after accelerated weathering tests (WPRC and recycled plastics from raw materials) were evaluated and compared by a TG-DTA in order to develop a method for evaluating the degree of degradation of used WPRC. Exothermic behavior with weight loss was observed in the temperature range of 30–500 °C for the WPRC product in two temperature ranges. In order to focus on the change in the first exotherm by oxidative degradation, where the rapid weight loss begins, this paper will focus on the exothermic behavior that develops in the temperature range of 150–300 °C on the lower temperature side. The results obtained are as follows. (1) Initial oxidation temperature (IOT) measurement from DTA behavior suggested that it is possible to evaluate the degree of degradation of WPRC. (2) On the exposed surface of WPRC exposed outdoors for more than 9 years and 8 months, significant decreases in the IOT were observed up to 1 mm from the surface, and a slight decrease in the IOT was observed between 1 and 2 mm from the surface. On the other hand, for the indoor long-term storage of 11 years and 6 months, there were almost no changes in the IOT with respect to the depth from the surface. Regarding the outdoor long-term-exposed WPRC, significant decreases in the IOT were observed not only on the exposed surface but also on the hollow and ribbed surfaces up to a depth of 1 mm from the surfaces. (3) A similar decrease in the IOT with increasing accelerated degradation time was observed for the WPRC and raw recycled plastic samples after accelerated weathering tests as for outdoor exposure. Furthermore, FTIR-ATR spectra also revealed that accelerated degradation caused oxidative degradation of the plastic. Therefore, it is thought that the decrease in the IOT can be used as an indicator to evaluate the degree of degradation of the plastic raw material in WPRC.
Comparison of Trends in Sustainable Energy Development in the Czech Republic and Poland
Authors: Żak Konrad , Pyra Mariusz
Published: October 2024

The contemporary process of economic development necessitates a heightened focus on matters of sustainability, with a particular emphasis on sustainable energy policy. This is of paramount importance for the protection of the natural environment and the achievement of long-term economic growth. In the context of countries such as the Czech Republic and Poland, which have historically relied on high-carbon energy sources, the transition to a more sustainable energy system represents a significant challenge. The objective of this paper is to undertake a comparative analysis of the trends in energy sustainability in the Czech Republic and Poland from 2017 to 2021, with a particular focus on key performance indicators. The analysis, based on data from the OECD database, revealed notable discrepancies in the rate of change between the two countries, with Poland exhibiting a more pronounced surge in the proportion of renewable energy sources (RES). A Student’s t-test confirmed the existence of statistically significant differences in key indicators between the Czech Republic and Poland, thereby underscoring the diverse challenges that both countries encounter in their pursuit of sustainable energy development. The Granger causality test was employed to ascertain whether variables exhibit temporal relationships that may suggest potential correlations. However, it is important to note that this test does not prove direct causality, but rather indicates that the variables are related at a specific point in time. Interpretation of the results must be undertaken with caution, as the test does not account for the full complexity of relationships between variables, including external factors and structural changes in the economy. Meanwhile, the LMDI decomposition analysis identified the principal drivers of alterations in CO2 emissions. The findings indicate that, despite advancements in sustainable energy development, Poland and the Czech Republic are confronted with distinctive challenges that necessitate the implementation of tailored policy responses. It is therefore recommended that further investment in renewable energy and the modernisation of energy infrastructure be made in order to achieve long-term sustainability goals.
Empowering Women in Saudi Workforce: HR, Job Satisfaction, and Policies for Work–Life Balance
Authors: Asfahani Ahmed M. , Eskandarany Abdullah , Dahlan Dina Abdullah , Ullah Zia , Khan Hina , Naheed Rehana
Published: October 2024

The present study investigates the sustainable influence of human resources (HR) support on job satisfaction and work–life balance among female employees in Saudi Arabia, underlining its significance in advancing social sustainability within the workforce. It seeks to analyze the role of job satisfaction as a mediator and organizational policies as moderators in these relationships. This study analyzed data from a simple random sample of 145 employed women in different sectors in Saudi Arabia, utilizing exploratory and confirmatory factor analyses, as well as inferential statistical methods for hypotheses testing. We conducted an evaluation of mediating and moderating effects in the investigated relationships using the PROCESS macro for SPSS. The findings show a strong positive relationship between HR support, work–life balance, and job satisfaction in Saudi Arabia’s female workforce. The mediation function of job satisfaction in the relationship between HR support and work–life balance emphasizes the critical role of positive working experiences in achieving work–life balance. Furthermore, this research highlights organizational policies as a crucial mediator, indicating that implementing supportive and progressive policies might amplify the beneficial impacts of HR practices on work–life balance and job satisfaction. The present study enhances the existing body of knowledge by offering empirical findings on the importance of culturally customized sustainable HR practices and the crucial function of organizational policies in advancing gender equality and achieving a healthy work–life balance.
How to Realize the Collaborative Supply of Cultural Resource Big Data with Government Participation: Experiences from China
Authors: Ning Lianju , Gao Qifang , Liu Jingtao
Published: October 2024

To foster the sustainable development of culture, particularly focusing on the preservation of cultural heritage, encompassing relics, intangible cultural heritage, and historical sites, China has launched a strategy for the digitalization of culture, with the goal of establishing a holistic national big data framework for cultural resources. To improve the efficiency of collaborative supply of cultural resource big data among various parties and to further advance the sustainable development of culture, this research has created a cooperative model that includes cultural institutions, a cultural resource big data service platform, and government participation. Our research findings, based on prospect theory and evolutionary game theory combined with Chinese practice, are presented below. (1) Various factors, including the coefficient of digital infrastructure empowerment, access charges for digital infrastructure, government penalties, and the probability of data leakage, have varying effects on the system in different states. (2) Once the industry has developed, the government can increase the impact of digital infrastructure empowerment to create stronger incentives, rather than relying solely on rewards or penalties. (3) When the value level of cultural resource big data is high, the benefit distribution coefficient does not affect the system evolution results. Finally, we offer practical insights for the government, cultural organizations, and cultural resource big data service platforms based on our research results. Our research offers Chinese insights for global cultural sustainable development.
Cleaning Up Metal Contamination after Decades of Energy Production and Manufacturing: Reviewing the Value in Use of Biochars for a Sustainable Future
Authors: Priyanka  , Wood Isobel E. , Al-Gailani Amthal , Kolosz Ben W. , Cheah Kin Wai , Vashisht Devika , Mehta Surinder K. , Taylor Martin J.
Published: October 2024

The lasting impact of ancestral energy production operations and global manufacturing has not only generated substantial CO2 emissions, but it has also led to the release of metal-based pollutants into Earth’s water bodies. As we continue to engineer, mine (coal and metals), and now bore into geothermal wells/fracking sites for alternative energy sources, we continue to contaminate drinking water supplies with heavy metals through infiltration and diffusion, limiting progress towards achieving Sustainable Development Goals 3 (Sustainable Development Goal 3: Good health and well-being), 6 (Sustainable Development Goal 6: Clean water and sanitation), 14 (Sustainable Development Goal 14: Life below water), and 15 (Sustainable Development Goal 15: Life on land). This review shows how the research community has designed and developed mesoporous biochars with customizable pore systems, as well as functionalized biochars, to extract various heavy metals from water sources. This article investigates how biochar materials (non-activated, activated, functionalized, or hybrid structures) can be adapted to suit their purpose, highlighting their recyclability/regeneration and performance when remediating metal-based pollution in place of conventional activated carbons. By utilizing the wider circular economy, “waste-derived” carbonaceous materials will play a pivotal role in water purification for both the developed/developing world, where mining and heavy manufacturing generate the most substantial contribution to water pollution. This review encompasses a wide range of global activities that generate increased heavy metal contamination to water supplies, as well as elucidates emerging technologies that can augment environmental remediation activities, improving the quality of life and standard of living for all.
Emission Risk and Inhibition Technology of Asphalt Fume from Crumb Rubber Modified Asphalt
Authors: Wang Zipeng , Li Hui , Jia Ming , Du Qunle
Published: October 2024

Crumb rubber-modified asphalt mixtures have been proven to have extensive utilization value in road engineering. However, the rubber releases more fumes during the construction period, which causes severe harm to human health and the environment. This research focused on the emission risk of asphalt fume from crumb rubber-modified asphalt, and then the inhibition technology was also optimized. Firstly, the emission behavior and the hazardous evaluation of the asphalt fume from crumb rubber-modified asphalt were investigated. Then, the characteristics of the inhibition materials were evaluated. Finally, the reduction in the emission of inhibited crumb rubber-modified asphalt fume was identified, and the optimized formula was determined based on the inhibition effect, rheological properties, and cost. The results indicate that crumb rubber-modified asphalts release more fume components with an increment in the temperature and crumb rubber content. Desulfurized rubber reduces the release of H2S and NO. Benzene compounds, including paraxylene, toluene, and benzene, are the most released pollutants that harm human health, especially DS CRA 20% and CRA 50%. Kaolin powder and expanded graphite have a sufficient pore structure and volume, the addition of which reduces the release of pollutants while possibly promoting the release of NO and H2S. Their addition also has a significant control effect on the release of particulate matter at 170 °C and 185 °C. With the consideration of emissions, rheological properties, and cost, CRA 40%-EG2%-KL2% was determined as the optimization formula. This research is helpful to the application of crumb rubber-modified asphalt in road construction and maintenance.
Land Use Changes and Future Land Use Scenario Simulations of the China–Pakistan Economic Corridor under the Belt and Road Initiative
Authors: Deng Yuanjie , Chen Hang , Hai Yifeng
Published: October 2024

The China–Pakistan Economic Corridor (CPEC), as an important part of the Belt and Road Initiative, is of great significance for the promotion of sustainable development in the region through the study of land use change and the simulation of future multi-scenarios. Based on the multi-period land use data of the CPEC, this study firstly analyzed the spatial and temporal land use changes in the CPEC from 2000 to 2020 by using GIS technology, and, secondly, simulated the land use patterns of the CPEC under four scenarios, namely, natural development, investment priority, ecological protection, and harmonious development, in 2040 by using the Markov-FLUS model with comprehensive consideration of natural, socio-economic, and other driving factors. The results show the following: (1) The urban land, forest land, and grassland in the CPEC from 2000 to 2020 show an increasing trend, while the farmland, unutilized land, and water area categories show a decreasing trend. In terms of land use transfer changes, the most frequently transferred out is the conversion of unutilized land to grassland. (2) The FLUS model has high accuracy in simulating the land use pattern of the CPEC, and its applicability in the CPEC area is strong and can be used to simulate the future land use pattern of the CPEC. (3) Among the four different land use scenarios, the harmonious development scenario strikes a better balance between infrastructure construction, economic development, and ecological protection, and can provide a scientific basis for future land management in the CPEC, in order to highlight the importance of promoting economic growth and ecological protection and ultimately realize sustainable development.
Cost Apportionment Method for Transmission and Distribution Projects Based on Multiple Apportionment Factors
Authors: Ju Yongsheng , Sun Yongyan , Ning Wenqin , Li Qingguo , Lin Yiya , Chen Hao , Yang Shuxia
Published: October 2024

In today’s society, sustainability has become a key theme, and utilizing renewable energy is part of sustainability. Under the high proportion of renewable energy access, the conventional grid is gradually shifting to an active and distributed structure, which makes the existing cost apportionment method of transmission and distribution projects unable to match the actual situation. Reasonable apportionment of the costs of different voltage levels is the basis for the evaluation of transmission and distribution projects and is important for the formulation of transmission and distribution tariffs, which in turn have a significant impact on the development of renewable energy. To this end, this paper takes China’s power system as the research object and firstly analyzes the impact of the activization of the grid on the cost apportionment of transmission and distribution projects and then the inadequacy of the existing cost apportionment, which only considers a single factor and part of the cost which should be apportioned downward is still borne by this voltage level, and then combines the activation and the inherent characteristics of the power grid to extract the multiple factors to be considered for cost apportionment, and at the same time takes into account the reverse direction of the power trend, and divides the cost apportionment into two scenarios. The cost sharing model of transmission and distribution projects based on multiple apportionment factors is established. Finally, the feasibility and applicability of the model are verified by the examples of linear and reticulated grids, and the cost sharing results obtained by this method and the traditional method are compared. Using this method for the cost sharing of transmission and distribution projects, lower voltage levels will share more costs, and higher voltage levels will share fewer costs. The results show that the inclusion of the factors affecting cost sharing in the case of an active grid is more in line with the development trend of the new power system; the cost apportionment method based on multiple sharing factors makes the results fairer; and the inclusion of the power trend conduction relationship in the sharing process reflects the essential attributes of the grid. This is conducive to improving the operational efficiency of the power grid and promoting the long-term sustainability of the power system.
Climatic Effects on the Growth of Fagus sylvatica L. in Mixed Stands with Pinus sylvestris L. in Lithuania
Authors: Linkevičius Edgaras , Schröder Jens
Published: October 2024

Climate change and warming will potentially profoundly affect forest growth and yield. However, climate change is not only a threat but also an opportunity for tree species to be more productive or colonize new territories where previously they were fragmented or absent. European beech (Fagus sylvatica L.) is a dominant and significant tree species in European forests with a pronounced ability to grow on a great variety of sites and to form mixtures with other tree species due to its shade tolerance. So far, only a few studies have analysed its growth and reaction to changing climatic conditions outside its natural gradient in the north. The aim of this study was therefore to clarify the main growth patterns and tree ring formation characteristics of beech (outside their natural distribution) in mixed stands with Scots pine (Pinus sylvestris L.) The analyses were carried out in two-layered stands in the western part of Lithuania with tree-ring data measured on stem disks collected at 1 m height that were available from shelter-cut thinning activities in a number of forest stands in the region. Our results show that higher temperatures during the summer months of July and August generally inhibited the radial growth of beech under given site conditions. In contrast, warmer late-autumn and cooler early-winter periods together with warmer springs positively affected the radial increments. Above-average precipitation during the vegetation period contributed to the beech producing additional amounts of radial increments. The increasing temperature trends of the summer months and decreasing monthly amounts of precipitation during the vegetation period in recent decades tend to have adverse effects on the ecological conditions for beech growth and vitality in Lithuania. Despite these results, the European beech successfully grows in the sample region and has produced 200 m3 ha−1 in the analysed stands.
Career Booster or Dead End? The Double-Edged Sword Effects of Entrepreneurial Fear of Failure on Entrepreneurial Exit Intentions in the Process of Sustainable Entrepreneurship
Authors: Shi Hangyu , Yang Hongtao
Published: October 2024

Based on self-regulation theory, this paper constructs two paths through which entrepreneurial fear of failure affects entrepreneurial exit intentions, and explores the moderating effect of the locus of control. We analyze a sample of 308 entrepreneurs from small and medium-sized private enterprises located in Southeast China. The results shown that entrepreneurial fear of failure not only stimulates entrepreneurial identity centrality in a self-regulated driving state but also leads to emotional exhaustion in a state of self-regulated depletion, with two effects on entrepreneurial exit intentions. The facilitating effect of entrepreneurial fear of failure on entrepreneurial identity centrality is stronger for internals than externals, whereas the facilitating effect of entrepreneurial fear of failure on emotional exhaustion is stronger for externals than internals. This research provides a theoretical basis and managerial insights for using entrepreneurial fear of failure to motivate its promoting effects and inhibit its hindering effects on sustainable entrepreneurship.
Sustaining and Reinforcing the Perceived Value of Higher Education: E-Learning with Micro-Credentials
Authors: Narayanaswamy Ravi , Albers Caitlyn S. , Knotts Tami L. , Albers Nancy D.
Published: October 2024

An important aspect of sustaining higher education is to produce graduates prepared for careers with the expertise and experiences desired by prospective employers. Micro-credentials delivered by higher education can confirm the students’ mastery of demanded skills and knowledge. The use of micro-credentials as an e-learning technology supports sustainability in higher education by reinforcing students’ employability. With hundreds of thousands of these credentials available in the United States, it is predictable that not all are equal. We explored the perceived value of micro-credentials reported by students and employers. Clear differences were found, with employers recognizing their value more than students. Additionally, we considered the source of the credential, which is the organization that creates, brands, and sponsors the award. Results demonstrated that employers used the sources for assessing value. We also tested the differences when higher education was the provider of the micro-credential, and institution type (issuer) was relevant to employers’ value. Finally, this study distinguished between the academic rigor and integrity of university-delivered micro-credentials associated with earning transcripted course credits and credentials that could be earned without course credits (non-transcripted). Employers valued transcripted micro-credentials more. This study found support for the use of micro-credentials to represent the mastery of skills and knowledge in higher education.
The Sustainable Management of Ecohotels for the Support of Ecotourism—A Case Study
Authors: Pavolová Henrieta , Bakalár Tomáš , Tokarčík Alexander , Cimboláková Iveta
Published: October 2024

Ecotourism represents a modern form of tourism that accepts the principles of sustainable development and the adequacy of the conditions of tourist destinations. The environmental awareness of all parties participating in tourism, objects, and subjects of tourism determines the development of ecotourism. Ecohotels, or “green hotels”, as an integral part of ecotourism, represent tourist accommodation facilities that have the “The Flower” certificate, their business activities minimize the impact on environmental quality. The management of ecohotels therefore implements programs and measures determining sustainable competitiveness at the local, regional, and supra-regional levels in the business in interaction with reducing the carbon footprint, water consumption, energy consumption, and waste production. They also support the use of recyclable materials and bio-products and the introduction of environmental management respecting the principles of green management in all areas of the tourism business. The competitiveness of ecohotels is in interaction with the willingness of tourists to use their pro-environmental services. The presented study is focused on the willingness of tourists to use the services of ecohotels, with an emphasis on identifying an effective strategy for supporting the development of ecotourism in the Slovak Republic. The study concentrates on the willingness of tourists to use ecohotels as part of their tourist activities based on a questionnaire survey. The study identifies the factors of strengths and weaknesses as well as the opportunities and threats of the use of ecohotels by tourists in supporting the development of ecotourism. Through the exact quantification of the weights of individual factors in terms of Saaty’s matrix and a SWOT analysis, an effective strategy for the use of ecohotels in supporting the development of ecotourism is defined. In recent years, the stimulation and use of tourists’ interest in environmental quality, with an emphasis on reducing negative impacts on the environment, has resonated; thus, a model of effective marketing strategy is presented.
Assessing the Impact of Enterprise Architecture on Digital Transformation Success: A Global Perspective
Authors: Alghamdi Hassan
Published: October 2024

This research paper aims to analyze the significant contributions of enterprise architecture (EA) in leveraging digital transformation (DT) success at an international level. The paper adopts a meta-analytical approach, examining the patterns of EA’s strategic alignment and operational impact. EA plays a crucial role in managing digital ecosystem complexity, which is a key factor in successful DT. The methodology also focuses on the systematic review and meta-analysis of the relationships between EA and other advanced technological systems such as AI, IoT, and Blockchain to reveal how these technologies improve EA’s flexibility and strategic approaches. The paper emphasizes the importance of organizational culture, technological incorporation, and regional economic factors as critical determinants of EA practices in DT activities. It underscores the necessity for customized EA approaches to DT success within different cultural and economic contexts and their impact on sustainable management. This practical insight is a crucial contribution of the paper, providing a strategic roadmap for organizations aiming to optimize their digital transformation strategies through enhanced EA practices.
Foresight for Sustainable Water Futures in Sub-Saharan Africa: A Systematic Review
Authors: George-Williams Henrietta E. M. , Hunt Dexter V. L. , Rogers Christopher D. F.
Published: October 2024

The provision of clean and potable water and sanitation services remains a critical challenge in Sub-Saharan Africa (SSA). This is exacerbated by climate change, an ever-increasing population, urbanisation, industrialisation, and an increase in water demand, not least for agriculture. A sustainable water future requires more strategic planning and improved decision-making processes. To accomplish this, foresight plays a critical role. Foresight is the ability to study a system and its challenges, anticipate possible future trends, and make informed decisions that foster more desired futures. This paper presents a systematic review of the literature on the strategies or methodologies of foresight utilised to enhance decision-making and future planning for ensuring equitable and sustainable access to clean water in SSA amidst uncertainty and the evolving landscape of economic, social, and environmental challenges. The findings indicate that foresight research in most countries in SSA is in its early stages, is narrowly focused, uses foresight tools or approaches in isolation, and employs siloed approaches for overall decision-making. A transdisciplinary systems approach is recommended to support improved decision-making within sustainable water futures planning.
How to Promote the Adoption of Electric Robotaxis: Understanding the Moderating Role of Inclusive Design on Interactive Features
Authors: Gu Chao , Zhang Lie , Zeng Yingjie
Published: October 2024

In recent years, China has witnessed a growing trend in the adoption of electric robotaxi services, with an increasing number of users beginning to experience this emerging mode of transportation. However, enhancing user willingness to ride remains a core challenge that the electric robotaxi industry urgently needs to address. Our study approached this issue from the perspective of interactive features, surveying 880 respondents and utilizing structural equation modeling to analyze user preferences. The research findings indicate that computer-based entertainment has a significant positive impact on traffic information completeness and social interaction, with a large effect (β > 0.5, p < 0.05), and it also exerts a small positive effect on behavioral intention (β > 0.1, p < 0.05). Traffic information completeness and social interaction have a medium positive effect on behavioral intention (β > 0.3, p < 0.05). In addition, we confirmed that inclusive design, gender, and age have significant moderating effects. Understanding the impact of inclusive design on user behavior can help drive industry changes, creating a more inclusive human–vehicle interaction environment for people with different abilities, such as those with autism. Our study reveals the key factors influencing users’ willingness to ride and offers insights and recommendations for the development and practical application of interactive features in electric robotaxis.
Marine Equipment Siting Using Machine-Learning-Based Ocean Remote Sensing Data: Current Status and Future Prospects
Authors: Zhang Dapeng , Ma Yunsheng , Zhang Huiling , Zhang Yi
Published: October 2024

As the global climate changes, there is an increasing focus on the oceans and their protection and exploitation. However, the exploration of the oceans necessitates the construction of marine equipment, and the siting of such equipment has become a significant challenge. With the ongoing development of computers, machine learning using remote sensing data has proven to be an effective solution to this problem. This paper reviews the history of remote sensing technology, introduces the conditions required for site selection through measurement analysis, and uses cluster analysis methods to identify areas such as machine learning as a research hotspot for ocean remote sensing. The paper aims to integrate machine learning into ocean remote sensing. Through the review and discussion of this article, limitations and shortcomings of the current stage of ocean remote sensing are identified, and relevant development proposals are put forward.
Efficiency of Sustainability Cues in Consumer Choices of Seafood—Consumer Segments and Willingness to Pay in Southern China
Authors: Li Yangyang , Hanna Stolz , Jiang Ning , Jia Xiangping , Gao Fang
Published: October 2024

Achieving sustainability goals in the food system should be informed by consumer demand that signals the market trend and drives systemic changes. This study examines the efficiency of sustainability cues in influencing consumer choices of seafood among consumers in Southern China. The preference and willingness to pay for each seafood attribute are estimated using the Latent Class Logit model. The results show that respondents strongly believed in governmental certifications and were more willing to pay for domestic seafood certified to public standards over imported seafood with third-party sustainability certifications. By integrating individual characteristics into the membership function, this study finds that the preference for sustainability cues and other authenticity cues is related to seafood consumption habits and education. The study highlights the efficiency heterogeneity of sustainability cues, providing valuable insights for formulating public policy and developing marketing strategies that promote sustainable consumption.
The Green Indium Patented Technology SCRIPT, for Indium Recovery from Liquid Crystal Displays: Bench Scale Validation Driven by Sustainability Assessment
Authors: Becci Alessandro , Amato Alessia , Merli Giulia , Beolchini Francesca
Published: October 2024

Indium is considered a valuable and irreplaceable material for a variety of applications that improve the quality of human life. Due to its limited availability and the growing demand, it is mandatory to find sustainable solutions for indium recovery from end-of-life devices. The green indium patented technology SCRIPT (ITA202018000008207) focuses on recovering indium from ground LCD panels, developed through laboratory scale investigation. The process ensures high recovery efficiencies of indium (>90%), features a simple design, and fully exploits the solid residue with the production of a concrete for building applications. This manuscript presents a study focused on the validation and optimization of the patented SCRIPT technology at the bench scale, driven by sustainability assessment. Bench scale experiments successfully validated the technology, improving its technology readiness level. Furthermore, an environmental sustainability assessment highlighted the importance of treating the finest fraction, which has the highest indium concentration. Optimization tests at the bench scale demonstrated that water could be recirculated for more than five cycles. The economic sustainability tests highlighted that when the indium concentration in the material fed into the recycling plant is above 1000 mg/kg, the technology is cost effective and worth investment. Our study is fundamental for boosting indium recycling in the world. Moreover, our methodological approach represents a guideline for achieving sustainability goals within circular economy approaches for strategic metals in complex matrices.
Creating Sustainable Flood Maps Using Machine Learning and Free Remote Sensing Data in Unmapped Areas
Authors: Venegas-Quiñones Héctor Leopoldo , García-Chevesich Pablo , Valdés-Pineda Rodrigo , Ferré Ty P. A. , Gupta Hoshin , Groenendyk Derek , Valdés Juan B. , McCray John E. , Bakkensen Laura
Published: October 2024

This study leverages a Random Forest model to predict flood hazard in Arizona, New Mexico, Colorado, and Utah, focusing on enhancing sustainability in flood management. Utilizing the National Flood Hazard Layer (NFHL), an intricate flood map of Arizona was generated, with the Random Forest Classification algorithm assessing flood hazard for each grid cell. Weather variable predictions from TerraClimate were integrated with NFHL classifications and Digital Elevation Model (DEM) analyses, providing a comprehensive understanding of flood dynamics. The research highlights the model’s capability to predict flood hazard in areas lacking NFHL classifications, thereby supporting sustainable flood management by elucidating weather’s influence on flood hazard. This approach aligns with sustainable development goals by aiding in resilient infrastructure design and informed urban planning, reducing the impact of floods on communities. Despite recognizing constraints such as input data precision and the model’s potential limitations in capturing complex variable interactions, the methodology offers a robust framework for flood hazard evaluation in other regions. Integrating diverse data sources, this study presents a valuable tool for decision-makers, supporting sustainable practices, and enhancing the resilience of vulnerable regions against flood hazards. This integrated approach underscores the potential of advanced modeling techniques in promoting sustainability in environmental hazard management.
Adapting Sustainability Certification Systems for Historic Buildings: A Qualitative Comparative Study in Denmark
Authors: Karimi Farzaneh , Kamari Aliakbar
Published: October 2024

Historical buildings are unique assets in any society, embodying cultural significance and architectural heritage. Denmark, with its rich architectural background, has taken steps to preserve these values. As the imperative of sustainability continues to grow, recognizing the social, economic, and environmental values of historic buildings is becoming increasingly important. As an important step towards adapting sustainability certification systems for historic buildings in order to identify and preserve their historical values, this paper aims to conduct a comparative analysis between the GBC and HB (Green Building Council–Historic Building), which has been adapted for historic buildings in Italy and the Danish GBC system (GBC-DK or so-called DGNB-DK). The study is based on a theoretical framework underpinned by a systematic approach utilizing a qualitative comparative analysis (QCA) alongside the triangulation method. This includes a systematic literature review comparing the GBC-DK and GBC-HB systems and an analysis of an actual building renovation project at a municipal hospital in Aarhus, Denmark. The findings indicate a notable absence of criteria and sub-criteria pertaining to the protection of tangible and intangible values in the application of the GBC-DK system. It is justified that in order to improve the sustainability of historic buildings in Denmark, a broader and more in-depth study on the adaptation of the GBC-DK system for historic buildings is needed.
Comparative Environmental Impact Assessment of Resistant Starch-Rich Pastas Produced from High-Amylose Soft Wheat or Malted Bean Flour
Authors: Moresi Mauro , Cimini Alessio
Published: October 2024

Flours rich in resistant starch (RS) are crucial for producing low glycemic index foods, as per Commission Regulation (EU) No. 432/2012. This study assessed the environmental profiles of two high-RS fresh pasta variants: one from malted and decorticated Gradoli Purgatory beans, and another from amylose-rich soft wheat flour, using the Product Environmental Footprint standard method. Both pastas had similar carbon footprints, but the overall weighted score of malted bean pasta was 38% higher than that of the high-amylose wheat pasta, making the latter more economically and environmentally viable. Climate change and water use were major contributors to their environmental footprints, influenced by cultivation practices. Mitigation strategies, such as cultivating drought-resistant beans, are recommended. Although greenhouse gas emissions per gram of protein or RS were similar, overall scores varied, emphasizing the need for sustainable crop selection. Consumer preferences may favor high-amylose wheat for glucose metabolism, while gluten-free, protein-rich needs can be met with malted bean flour, despite its higher environmental impact.
Trainee Teachers’ Shift towards Sustainable Actions in Their Daily Routine
Authors: Singh-Pillay Asheena , Naidoo Jayaluxmi
Published: October 2024

The argument made in this study is that sustainability is a system of beliefs that extends beyond policy and the classroom to transform actions and societies into pro-sustainable behaviours. Therefore, it is crucial to equip trainee teachers to embrace their role as catalysts for change in driving Sustainable development goals, sustainable thinking, systems thinking, wise consumption, sustainable competencies, and sustainable action in their daily lives. The lack of practice-led research on incorporating Education for Sustainable Development (ESD) into trainee teachers’ training programmes is noted in the literature. This qualitative practice-led research explored trainee mathematics and technology teachers’ (TMTTs) experiences learning about sustainability. Kolb’s experiential theory framed this study theoretically. The data were collated from twenty purposively selected TMTTs via semi-structured interviews and reflective diaries. All ethical protocols were observed. The analysis highlighted the core experiences TMTTs gained in learning about sustainability, transformative learning, design thinking, wise consumption, agency, and sustainable teaching strategies. Theoretically, the findings emphasise the importance of using an ESD perspective and experiential learning methods to integrate sustainability education into mathematics and technology teaching. The results suggest that when TMTTs are encouraged to actively engage with sustainability issues in their communities, informed decisions are made about their future roles as teachers, the teaching strategies they intend to use, and the type of learning they aim to foster in their learners.
The Impact of Social Environment Perception on Relative Deprivation among Residents in Rural Tourism Destinations
Authors: Wu Mengxue , Yan Yan , Kong Deyi
Published: October 2024

The sustainable development of rural tourism requires not only active participation from the government and enterprises but is also closely tied to the attitudes of local residents. This study, grounded in the theories of relative deprivation and social comparison, focuses on the residents living near the Jinshi Gorge Scenic Area in Shangluo City. We constructed a structural equation model to explore how residents’ perceptions of the social environment in rural tourism influence their sense of relative deprivation, enhance their happiness, and ultimately promote the sustainable development of rural tourism. The study’s findings reveal the following: (1) that demographic characteristics, including age, education level, and annual income, significantly influence residents’ perceptions of their social environment, particularly their sense of group identity, social support, and feelings of inequality. (2) Levels of relative deprivation vary significantly across different demographic groups. (3) There is a strong positive correlation between individual cognitive relative deprivation and individual emotional relative deprivation. Similarly, group cognitive relative deprivation positively predicts group emotional relative deprivation. (4) Experiences of discrimination, feelings of inequality, and strength of group identity emerge as significant predictors of both individual and group-level cognitive and emotional relative deprivation. (5) Social support has a significant negative effect on individual cognition, individual emotions, group cognition, and group emotional relative deprivation.
Comparative Analysis of Electric and Conventional Vehicles Performance in the Evacuation Process of Mount Semeru Eruption Victims Based on Geographic Information Systems
Authors: Liperda Rahmad Inca , Putra Rahul Prima , Pairunan Galileo Bill , Maghfiroh Meilinda Fitriani Nur , Redi Anak Agung Ngurah Perwira
Published: October 2024

The Lumajang Regency is highly vulnerable to various natural disasters, particularly the potential eruption of Mount Semeru. In disaster response efforts, the local government needs to prepare effective and efficient evacuation routes, taking into account the magnitude of the eruption impact in the Semeru disaster-prone area. This research focuses on evacuating vulnerable residents using electric and conventional vehicles. This study is categorized as a vehicle routing problem with energy constraint (VRPEC) because the electric vehicles utilized in this research do not require recharging during their operational process, ensuring rapid evacuation as it is essential. By utilizing Geographic Information Systems (GIS)-based optimization, the best route to evacuate all victims within 12 h is determined. This study involves developing scenarios considering the number of vehicles and their travel distances. There are also evacuation guidelines, including the implementation of priority points and evacuation zone usage. The research results indicate that scenarios EV 5, 8, and 10 are the most optimal for using electric vehicles. Meanwhile, the optimal scenario for conventional vehicles is scenario 5. This analysis shows that implementing electric vehicle scenarios is superior to conventional vehicle scenarios in terms of the total time required to evacuate all victims.