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In water electrolysis, the use of an efficient catalyst derived from earth-abundant materials which is cost-effective and stable is essential for the economic sustainability of hydrogen production. A wide range of catalytic materials have been reported upon so far, among which Fe2O3 stands out as one of the most credible candidates in terms of cost and abundance. However, Fe2O3 faces several limitations due to its poor charge transfer properties and catalytic ability; thus, significant modifications are essential for its effective utilization. Considering the future of water electrolysis, this review provides a detailed summary of Fe2O3 materials employed in electrolytic applications with a focus on critically assessing the key electrode modifications that are essential for the materials' utilization as efficient electrocatalysts. With this in mind, Fe2O3 was implemented in a heterojunction/composite, doped, carbon supported, crystal facet tuned system, as well as in metal organic framework (MOF) systems. Furthermore, Fe2O3 was utilized in alkaline, seawater, anion exchange membrane, and solid oxide electrolysis systems. Recently, magnetic field-assisted water electrolysis has also been explored. This comprehensive review highlights the fact that the applicability of Fe2O3 in electrolysis is limited, and hence, intense and strategically focused research is vital for converting Fe2O3 into a commercially viable, cost-effective, and efficient catalyst material. [ABSTRACT FROM AUTHOR]

Amidst the swift expansion of the electric vehicle industry, the imperative for alternative battery technologies that balance economic feasibility with sustainability has reached unprecedented importance. Herein, we utilized Perovskite-based oxide compounds barium titanate (BaTiO3) and strontium titanate (SrTiO3) nanoparticles as anode materials for lithium-ion batteries from straightforward and standard carbonate-based electrolyte with 10% fluoroethylene carbonate (FEC) additive [1M LiPF6 (1:1 EC: DEC) + 10% FEC]. SrTiO3 and BaTiO3 electrodes can deliver a high specific capacity of 80 mA h g−1 at a safe and low average working potential of ≈0.6 V vs. Li/Li+ with excellent high-rate performance with specific capacity of ~90 mA h g−1 at low current density of 20 mA g−1 and specific capacity of ~80 mA h g−1 for over 500 cycles at high current density of 100 mA g−1. Our findings pave the way for the direct utilization of perovskite-type materials as anode materials in Li-ion batteries due to their promising potential for Li+ ion storage. This investigation addresses the escalating market demands in a sustainable manner and opens avenues for the investigation of diverse perovskite oxides as advanced anodes for next-generation metal-ion batteries. [ABSTRACT FROM AUTHOR]

Construction and demolition waste (CDW) is one of the largest contributors to global waste streams, simultaneously posing significant environmental and resource management challenges. The management of CDW, particularly its potential for energy recovery and industrial symbiosis, has garnered increasing attention as part of a circular economy approach. This comprehensive review explores global practices in CDW management, analysing theoretical developments, technological advancements, and emerging resource recovery and reuse trends. Background: CDW accounts for more than a third of all waste generated in the EU. A wide variety of materials, such as concrete, bricks, wood, glass, metals, and plastics, make it a very un-homogenous waste stream with high potential for material recovery through different approaches. Methods: This review draws on an extensive analysis of scientific literature, case studies, and industry reports to assess current practices in the CDW stream and assessment of the feasibility of energy recovery, industrial symbiosis, and object reconstruction. Results: The originality of the current research is based on a Latvian case study on CDW management that provides valuable insights into household-level practices and progress towards relevant UN SDGs. Conclusions: Various CDW streams have an undeniable potential for valorization through various approaches. Currently, the most common approach is recovery and recycling, although CDW has the potential to broaden its application within the circular economy framework. For instance, industrial symbiosis is a solution that can not only boost the valorization of CDW but also significantly increase material circularity. [ABSTRACT FROM AUTHOR]

Previous studies have identified the importance of access to electricity and the socio-economic environment for poverty reduction, but the comprehensive interplay and synergistic relationships between them remain unclear. Using data collected from Myanmar, this study establishes and tests conceptual models to explore the paths from access to electricity and socio-economic environment to capability and income poverty reduction. The results of structural equation modeling show that capability poverty reduction acts as a complete mediator between access to electricity and income poverty reduction, and plays a partial mediating role between socio-economic environment and income poverty reduction. Analysis of fuzzy-set qualitative comparative analysis demonstrates that lack of electricity is a key barrier impeding poverty alleviation efforts. Moreover, five effective configurations of poverty reduction factors are identified for Myanmar by considering the heterogeneity of different regions. This indicates that individual factors could not ensure a highly effective poverty reduction and different factors need to be appropriately configured for achieving the synergistic effects. These findings contribute to practical insights into poverty reduction policy making and sustainable development for developing countries. [ABSTRACT FROM AUTHOR]

The main aim of the research was to assess Polish rural municipalities' investment activity connected with the development of a low-carbon economy, supported with EU funds in the 2007–2013 and 2014–2020 financial frameworks. The empirical study was based on data from Poland's Ministry of Development Funds and Regional Policy, Ministry of Finance, and Statistics Poland, analysed through basic descriptive statistics and a logistic model to identify key factors influencing investment activity. The study showed that the greatest number of agreements on funding were, in fact, signed by rural municipalities in the period under analysis. The predominant measures undertaken during this time were the promotion of renewable energy sources and the improvement in energy efficiency. In the earlier financial framework, low-carbon economy projects in rural areas were more often implemented by municipalities with developing demographic potential, including those characterised by a higher level of enterprise development. In the subsequent financial framework, human capital turned out to be of key importance for the investment activity of rural municipalities. Experience gained from 2007–2013 positively influenced fund absorption in 2014–2020, improving project value, number, and support. The study confirmed that rural municipalities play a vital role in advancing a low-carbon economy, as local actions are key to achieving sustainable development and reducing greenhouse gas emissions. [ABSTRACT FROM AUTHOR]

The development of green production types such as personalized production and shared manufacturing, which use additive technologies in city multifloor manufacturing clusters (CMFMCs), has led to an increase in last-mile parcel delivery (LMPD) activity. This study investigates the integration of electric vehicles and crowdshipping systems into smart CMMCs to improve urban logistics operations related to the distribution of products to consumers. The aim of this study is to improve the LMPD performance of these integrated systems and to provide alternative solutions for sustainable city logistics using the potential of crowdshipping and vehicle sharing fleets (VSFs) in the city logistics nodes (CLNs) of CMFMCs. The issues presented by the loading–unloading operations and sustainable crowdshipping scenarios for LMPD in CMFMCs are considered. This paper presents a new performance evaluation model for crowdshipping LMPD in CMFMCs using VSFs. The case study shows that the proposed model enables the analysis of LMPD performance in CMFMCs, taking into account their finite production capacity, and that it facilitates the planning of cargo turnover and the structure of VSFs consisting of e-bicycles, e-cars, and e-light commercial vehicles (e-LCVs). The model is verified based on a case study for sustainable LMPD scenarios using VSFs. The proposed model enables the planning of both short- and long-term logistics operations with the specified performance indicator of VSF usage in CMFMCs. The validity of using the integrated potential of crowdshipping and vehicle sharing services for LMPD under demand uncertainty in CMFMCs is discussed. This study should prove useful for decision-making and planning processes related to LMPD in CMFMCs and large cities. [ABSTRACT FROM AUTHOR]

Urban green spaces constitute a vital component of the ecosystem. This study focused on urban green spaces located within the Fifth Ring Road of Beijing, using Gaofen 7 (GF-7) as the primary data source for analysis. The main objective was to develop a system for extracting and classifying urban green spaces in Beijing by applying deep learning and machine learning algorithms, and further, the results were validated with ground survey samples. This study provides detailed extraction and classification of urban green space coverage by creating a comprehensive evaluation system. The primary findings indicate that the deep learning algorithm enhances the precision of green space information extraction by 10.68% compared to conventional machine learning techniques, effectively suppresses "pretzel noise", and eventually aids in extracting green space information with complete edges. The thorough assessment of green spaces within the study area indicated favorable outcomes showing the high service capacity of park green spaces. The overall classification accuracy of the final extraction results was 94.31%. Nonetheless, challenges, such as unequal distribution of green zones and a significant fragmentation level throughout the study area, were still encountered. Consequently, the use of GF-7 high-resolution imagery, in conjunction with the collaborative application of deep learning and machine learning techniques, enabled the acquisition of highly accurate information regarding urban green zone coverage. According to the established grading standards of evaluation indices, the landscape pattern of urban green spaces within the study area was comprehensively assessed. This evaluation offers essential data support for monitoring urban green spaces and planning landscape patterns, thereby contributing to the achievement of sustainable development objectives related to urban greening and ecological conservation. [ABSTRACT FROM AUTHOR]

Ecological environmental protection and poverty alleviation are of great significance for the study of human–land relationship coordination and sustainable development, and they have also been a focus of attention in China in the past few decades. In this study, we chose 13 contiguous poverty-stricken areas in China as the study area. Using MODIS Leaf Area Index (LAI) data from 2000 to 2020, the spatial–temporal changes in greenness were obtained using the Bayesian spatial–temporal model (BYM). Spatial autocorrelation was used to identify the spatial distribution of poverty using socio-economic statistical data. Driving factors, including natural factors, poverty factors, and the Grain for Green Policy (GTGP), and their influence on greenness were analyzed by using the Geodetector model for detecting spatial differentiation and factors' interactions. The results showed the following: (1) In 13 contiguous poverty-stricken areas (CPSAs) in China, 59% of the area presented an increasing trend of greenness. (2) In 2000, the high poverty levels with larger MPI values were widely distributed. After 20 years, the overall MPI value was lower, except in some northwest regions with increased MPI values. The spatial autocorrelation of poverty, which relates to the mutual influence of poverty in adjacent areas, also decreased. (3) In the study area, 65.24% of the regions showed strong synergistic effect between greening progress and poverty reduction in the interaction between poverty status and green development. With the improvement of greenness level, the positive correlation between poverty alleviation and ecological environment improvement has become increasingly close. (4) The impacts of interaction factors with the highest q values changed from temperature interacting with precision to regional division interacting with the Grain for Green Policy. The conclusions are that from 2000 to 2020, the impact of natural factors, geographical division, and poverty status on greenness has shown a decreasing trend; The effect of the Grain for Green Policy is gradually increasing; At the same time, the interaction and overlapping effects between the Grain for Green Policy and poverty were increasing. Taking into account the needs of ecological environment, poverty alleviation, and rural revitalization, this research provides valuable reference for formulating and implementing relevant policies based on the actual situation in different regions to promote harmonious coexistence between human-land relationship. [ABSTRACT FROM AUTHOR]

The construction of digital villages has progressed in tandem with the transformation of traditional production methods, offering new perspectives for agricultural green growth and sustainable development. This study employs the entropy value method alongside the super-efficient global SBM (Slacks-Based Measure) mixed function model, which assesses efficiency by accounting for both inputs and outputs, thereby facilitating a comprehensive evaluation of agricultural green growth. This methodology facilitates the examination of the correlation between digital villages and agricultural green growth, as well as the influence of digital villages on this growth. Furthermore, the utilization of financial resources is employed as a mediating variable to elucidate the mechanism of action. The utilization of green finance and agricultural insurance can be facilitated by the establishment of digital villages, and that has been shown to promote agricultural green growth. Additionally, the promotion of agricultural green growth by digital village construction is stronger in middle-altitude regions, non-grain-producing regions, and regions where the digital literacy of the rural labor force is higher than average, as well as areas where the use of agricultural film is higher than average. Accelerating the construction of digital villages and promoting the utilization of rural financial resources while adapting the digital village development to local conditions are crucial for effectively fostering agricultural green growth and sustainable agricultural development. [ABSTRACT FROM AUTHOR]

The rapid pace of urbanization and industrialization has reshaped land use patterns globally, particularly within the interconnected domains of 'production, living, and ecological spaces' (PLES). Understanding the spatiotemporal evolution of these spaces is crucial for guiding sustainable development. Although a number of previous studies have explored aspects of their dynamics and driving factors, further investigation is needed to fully understand their long-term spatiotemporal evolution and the broader influences of socio-economic and environmental forces. This study aims to fill that important gap by leveraging advanced remote sensing techniques to analyze PLES transformations over a 30-year period. Using Henan Province, China, as a testbed, this study applies high-resolution Landsat data, land use transition matrices, dynamic degree analysis, Principal Component Analysis (PCA), and multiple linear regressions to uncover trends and underlying drivers. The results reveal a substantial reduction in production spaces by 3394.62 km² steady growth in living spaces by 4459.41 km² and complex, non-linear changes in ecological spaces, which decreased by 1067.43 km². Key driving forces, such as economic growth, urbanization, and fiscal policies are identified and discussed. These insights provide a robust framework for sustainable land use planning, with broader implications for rapidly urbanizing regions worldwide. [ABSTRACT FROM AUTHOR]

In order to implement the dual-carbon strategy and achieve sustainable economic development, it is essential to guarantee environmental protection through the establishment of an effective environmental rule of law. This study employs a quasi-natural experiment, namely the establishment of environmental protection courts in China's intermediate people's courts, to investigate the impact on the ESG performance of A-share listed companies from 2010 to 2022. A double-difference model is utilized for this purpose. This study reveals that the specialization of environmental justice is an effective means of promoting the ESG performance of enterprises. The results of mechanism tests indicate that the specialization of environmental justice has a positive impact on the ESG performance of enterprises, primarily by enhancing external supervision and garnering greater media attention and analyst interest. Furthermore, heterogeneity analysis reveals that the influence of environmental justice specialization on corporate ESG performance is particularly pronounced in eastern regions, contexts characterized by high environmental uncertainty and heavily polluting enterprises. These findings offer invaluable insights into the development of environmental justice and the advancement of sustainable economic growth. [ABSTRACT FROM AUTHOR]

This study examined the decline of traditional villages due to urbanization, focusing on their spatial patterns and architectural characteristics in China, particularly in the Guanzhong region. Using ArcGIS tools, kernel density and nearest-neighbor analyses quantitatively assessed the spatial distribution of these villages at macro- and micro-levels. Additionally, 3D laser scanning was employed to qualitatively analyze architectural features. The study demonstrated that (1) traditional villages are unevenly clustered nationwide, primarily in the southeast and southwest, creating a "three cores and multiple points" spatial pattern. (2) In the Guanzhong region, traditional village distribution also shows clustering with diverse patterns, including regiment, belt, and point formations. Higher densities are found in the eastern and northern regions, while the west and south are sparsely populated. Most villages are located at altitudes of 501–700 m, on slopes of 6–15°, and near water sources. (3) The basic residential structures in Guanzhong included the single, vertical multi-entry, and horizontal coupled courtyards, as well as the vertical and horizontal interleaved layouts; these buildings typically featured the foundations and walls made of earth, stone, and brick, combined with various wooden frames and single- or double-sloped roofs. This study overcomes the limitations of the traditional literature and field surveys by quantitatively and qualitatively analyzing the spatial patterns of traditional villages and the architectural forms of residential buildings from an architectural perspective. It graphically presents the data to provide an efficient and practical theoretical basis for the heritage preservation and development of traditional villages. [ABSTRACT FROM AUTHOR]

The collection of the ancestral fruit cauchao (Amomyrtus luma) is part of the routines of women gatherers from the extreme south (44° South Latitude) in Chile. The traditional food knowledge of cauchao has not been documented, and there is no data on the nutritional composition. Women's experiences collecting cauchao can help understand the relationship between traditional food, herbal medicine, and local gatherers' communities. Thus, this research explores the traditional knowledge of food and the nutritional composition of cauchao. Mixed methods research was performed. A case study included in-depth interviews with 12 women gatherers and thematic analysis. The composition of macronutrients in cauchao was obtained by proximate chemical analyses and dietary fiber using the enzymatic-gravimetric method. Results showed that gathering for these women was more than just extracting natural resources; it was associated with family, food security, participation in different stages of the food system, and practices that could contribute towards sustainable food systems. Furthermore, cauchao fruit showed a high dietary fiber content, and women gatherers did not connect cauchao with dietary fiber. Since access to knowledge by small-scale food producers, especially women, is part of the Sustainable Development Goals (SDG#2.3), the approach of this research may help guide knowledge transfer among women gatherers. [ABSTRACT FROM AUTHOR]

"Ensure access to affordable, reliable, sustainable, and modern energy for all" is one of the United Nations' 17 Sustainable Development Goals. A key target for achieving this goal is increasing the share of renewable energy. In the United States, many states are evaluating the environmental and economic impacts of the renewable energy transition. This study provides an in-depth evaluation of the economic impact of Ohio's proposed Community Solar Pilot Program, which plans to install 1750 MW of new solar capacity, including 250 MW on distressed Appalachian sites. We combine two input–output models to estimate the economic impact of community solar projects: the Jobs and Economic Development Impact (JEDI) model from the National Renewable Energy Laboratory (NREL) for the construction phase, and IMPLAN for the projects' 25-year lifespan. Data for this study were gathered through surveys of local solar developers, who are familiar with the regional costs of installing and operating solar projects. Our findings indicate that the community solar program could support 32,430 full-time job years and contribute USD 4.37 billion to Ohio's Gross State Product (GSP). Additionally, the program could generate USD 409.5 million in local tax revenue over its lifetime. The study highlights the potential of renewable energy initiatives to foster economic growth, particularly in economically distressed regions like Appalachian Ohio. [ABSTRACT FROM AUTHOR]

Despite the growing global focus on marine protected areas, there is a dearth of research addressing the comprehensive sustainability of such areas. This study fills the gap by evaluating the sustainability of South Penghu Marine National Park (SPMNP) using importance–performance analysis (IPA) across 18 sustainability indicators, encompassing environmental, economic, and social dimensions. The results reveal that environmental sustainability was rated as the most critical, with top indicators including protecting ecological habitats and marine wildlife. Performance scores were generally satisfactory, though disparities between importance and performance were noted, suggesting areas for improvement. Notably, all sustainability indicators are significantly below the threshold performance target of 75%, indicating significant gaps in meeting public expectations. The analysis also highlights strong public support for both on-site and off-site management measures as key strategies to enhance park sustainability. This study provides valuable insights for policymakers and park managers aiming to improve the sustainability of marine protected areas. [ABSTRACT FROM AUTHOR]

Cost overruns are a significant issue in infrastructure projects, adversely affecting not only economic performance but also sustainability goals by straining resources and extending project timelines. There is consensus among researchers about the persistence of cost overruns and the importance of accurate estimates. However, there are significant differences in the explanation of the reasons for the overruns. While we recognize the importance of understanding the reasons for cost overruns at all stages of project development, we have focused on the reasons for cost overruns after contract award due to the rarely available real and valid data collected at the source of the information. We analyze the deviations between actual and contracted costs, as well as the dependence of cost deviations of individual project types on the size of the contract. For example, the size of the tunnel significantly affects relative cost deviations, while for standard viaducts or road sections this effect is minimal. The results confirmed that cost overruns are less frequent in standard facilities than in those where the experience factor has little influence on the final cost estimate. For example, deviations in the average value of the contracted costs for highway sections range between −12.1% and 27.9% of the contracted value, and for standardized viaduct projects they range between −16.73% and 6.27% of the contracted value. The type of distribution function of deviations between actual and contractually agreed costs was investigated, and a predictive model for estimating future cost deviations of project programs was presented. The goal is to improve economic sustainability and the related optimization of resources in the development of infrastructure, which contributes to the broader agenda of sustainable development. The results encourage the adoption of improved project documentation and forecasting tools, which are essential for sustainable project management. [ABSTRACT FROM AUTHOR]

Damping is a fundamental characteristic of bridge structures, reflecting their ability to dissipate energy during vibration. In the design and maintenance of bridges, the damping ratio has a direct impact on the safety and service life of the structure, thus affecting its sustainability. Currently, there is no suitable theoretical method for estimating structural damping at the design stage. Therefore, the modal damping ratio of a completed or under-construction bridge can only be obtained through field dynamic tests to ensure compliance with design specifications. To summarize the latest research findings on bridge structure damping models and identification methods, and to advance the development of damping identification techniques, this paper provides an in-depth review from several perspectives: Firstly, it offers a comprehensive analysis of the theoretical framework for structural damping. Secondly, it summarizes the damping models proposed by researchers from various countries. Thirdly, it reviews the research progress on identifying the modal damping ratio of bridge structures using time domain, frequency domain, and time-frequency domain methods based on environmental excitation. It also summarizes the methods and current status of identifying the modal damping ratio using artificial excitation. Finally, the future prospects and conclusions are discussed from three aspects: damping theory, test and identification method and data processing. This research and summary provide a solid theoretical foundation for advancing bridge structural damping theory and identification methods and offer valuable references for bridge operation and maintenance, as well as damage identification. From the perspective of modal parameter identification, it provides a theoretical basis for the sustainable development of bridges. [ABSTRACT FROM AUTHOR]

China's transition from precise poverty alleviation to rural revitalization represents a critical development stage. This study aims to explore how a design-driven approach can achieve sustainable poverty alleviation and development by addressing challenges such as relative poverty, imprecise targeting, insufficient endogenous motivation, and the risk of returning to poverty. Understanding the inherent relationship between poverty alleviation and sustainable development is crucial for deepening precise poverty alleviation strategies and promoting rural revitalization. This study employs the TOPSIS method to accurately identify target groups for poverty eradication and select optimal poverty alleviation strategies based on multidimensional poverty governance criteria. A case study of Village M in Guangdong Province is conducted, where questionnaire surveys and sampling methods are used to establish the TOPSIS model for precise identification and the design of targeted interventions to support poverty eradication. Both qualitative and quantitative approaches are applied to ensure comprehensive analysis and results. The findings indicate that targeted design interventions, particularly those leveraging local bamboo resources, led to a significant increase in the annual per capita income of identified families by approximately 176.32%, from RMB 3146 (approximately USD 431) to RMB 8700 (approximately USD 1192). This design-driven approach effectively stimulated the innovation consciousness of impoverished farmers, demonstrating the critical role of sustainable design strategies in optimally matching resources to the needs of the poor. This study contributes to the development of a novel framework integrating design methodologies with poverty alleviation strategies, providing empirical evidence on the effectiveness of these interventions. The findings highlight the importance of user-centered design in promoting sustainable development and underscore the need to incorporate design-driven methodologies in poverty alleviation efforts. [ABSTRACT FROM AUTHOR]

Global challenges related to sustainable development are increasingly focusing on the use of digital twin technology as a universal tool for optimizing and monitoring renewable energy installations. This article discusses digital twin technology as a support for sustainable development based on the analysis of microgrid structures. Digital twins allow the creation of virtual models of physical systems. This capability facilitated the accurate replication of the microgrid model at Kielce University of Technology using ETAP (Electrical Transient Analyzer Program) software (version 22.5). The operational parameters of the microgrid structure were analyzed for the examined power range of the photovoltaic installation to determine the possibilities of expanding the existing installation. The impact of the photovoltaic installation's power on the operational parameters of the microgrid structure was visualized, and final conclusions were formulated. Moreover, the integration of digital twin technology into renewable energy systems not only enhances operational efficiency but also plays a pivotal role in advancing sustainability objectives. Through real-time monitoring and predictive maintenance, digital twin technology facilitates the optimization of energy production and distribution, thereby reducing waste and contributing to the overall sustainability of energy systems. This technology enables the simulation of various scenarios, such as fluctuations in energy demand or the integration of new renewable sources, which can inform more sustainable decision-making processes. In the context of microgrids, digital twin technology ensures that energy production is closely aligned with consumption patterns, minimizing energy losses and enhancing grid resilience. Furthermore, digital twin technology supports the sustainable expansion of renewable installations by providing detailed insights into potential environmental impacts and the long-term sustainability of various energy configurations. As the demand for clean energy continues to grow, digital twin technology will be indispensable in achieving a balance between energy needs and environmental stewardship, ensuring that the expansion of renewable energy sources contributes positively to global sustainability objectives. [ABSTRACT FROM AUTHOR]

This study investigates how students' well-being relates to sustainable development and education for sustainable development at Prince Mohammad Bin Fahd University, Saudi Arabia. The authors endeavor to answer the question "How Does Students' Well-Being Relate to Sustainable Development Via Education for Sustainable Development?" and four sub-questions. The authors used primary data collected by semi-structured interviews exploring the viewpoints of twenty-six female and male students (n = 26) aged between 18 and 25. These interviewees, who are Saudi senior business students, have played a crucial role in our study. As revealed in the content and thematic analysis results, their insights have identified additional well-being and education for sustainable development antecedents that influence sustainable education and, therefore, sustainable development. In addition to this study's new well-being and education for sustainable development factors, this study also developed a theoretical model for the relationship between antecedents for education for sustainable development factors, education for sustainable development, and sustainable development in the Saudi context. Moreover, this study's outcomes guide educational institutions to link students' education for sustainable development to their inner well-being and that on campus, which requires instructors' awareness and training to help them deliver knowledge, skills, and emotional intelligence that improve students' well-being, and therefore, education for sustainable development. [ABSTRACT FROM AUTHOR]

The role of green mobility as a low-carbon lifestyle in carbon reduction and sustainable development cannot be ignored. The digital economy effectively promotes green mobility for sustainable energy use in the broader setting of the significant data era and sustainable development. This study utilizes the panel data of 264 cities in China from 2011 to 2021 to construct a two-way fixed-effects regression model to analyze the impact of the digital economy on residents' green mobility and the indirect impact mechanism of the two policy tools, a low-carbon transportation pilot and carbon emissions trading, from theoretical and empirical aspects. The results show that digital economic development helps promote residents' green mobility. In addition, the implementation of low-carbon transportation pilots and carbon trading policies has strengthened the role of the digital economy in promoting green mobility. The findings remain after introducing robustness tests such as "smart city" pilots as exogenous shock policies. A heterogeneity study suggests that the effect of the digital economy on green mobility for residents is more significant in economically developed and human capital-rich areas. This study contributes to the literature by providing empirical evidence on the role of the digital economy in promoting sustainable urban transportation and by demonstrating the moderating effects of policy instruments, thereby offering practical insights for policymakers aiming to reduce urban pollution and enhance sustainable development. [ABSTRACT FROM AUTHOR]

The article presents the results of a comprehensive study of the use of 3D Concrete printing (3DCP) technology to create urban infrastructure facilities according to sustainable development principles. The work includes a study of scientific articles on the subject area under consideration, a survey of additive construction market participants, as well as an analysis and generalization of promising areas for technology development and methods for improving the quality of objects erected using 3DCP. As part of the conducted literature review, publications included in the Scopus database for the period 2015–2024 were selected for analysis using the keywords 'Sustainable development + 3DCP' and 'Sustainable construction + 3DCP'. The following conclusions were made: (i) the most popular publications are review articles about the development of materials and technologies for 3DCP and (ii) the most sought-after are the studies in the field of partial application of 3DCP technology, existing equipment and materials for 3DCP, and assessment of the effectiveness and cost-effectiveness of 3DCP use. For this purpose, a questionnaire was developed consisting of three blocks: equipment and technologies; structures and materials for 3DCP; the ecology and economics of 3DCP applicability. As a result, four main risks have been identified, which represent promising areas for 3DCP development. [ABSTRACT FROM AUTHOR]

In recent years, sustainability has become a key focus in the global tourism and hospitality industry, with hotels increasingly adopting waste reduction strategies, resource optimization, and sustainable supply chain practices. However, the extent of adoption varies due to strategic decisions, resistance to change, and other contextual factors. This paper, grounded in a comprehensive sustainability framework, explores the Lithuanian context through a diagnostic investigation of 37 hotels in Vilnius. Employing a mixed-method approach, it aims to examine their current corporate social responsibility (CSR) practices. The findings reveal that while hotels in Vilnius voluntarily adopt sustainability practices across environmental, economic, and social domains, significant gaps remain, including a lack of formal sustainability policies and limited transparency. Despite these challenges, there is a growing need to improve and adopt more structured sustainability practices, which could notably enhance the sector's overall performance. This paper offers valuable insights for policymakers, industry stakeholders, and researchers aiming to promote sustainable development in Lithuania and beyond. [ABSTRACT FROM AUTHOR]

The construction level of artificial grassland is an important index of the development degree of grassland animal husbandry. Therefore, improving the productivity level of artificial grassland and promoting the sustainable utilization of artificial grassland have become important tasks that need to be urgently addressed. There have been numerous studies on the effects of monoculture on the soil microbial community structure in artificial grassland, but there is limited research on the effects of mixed sowing on the soil microbial community structure and the related patterns. In this study, Elymus nutans (En), Festuca sinensis (Fs), Avena sativa (As), and Poa pratensis (Pp) were used as common herbage materials in an alpine grassland pastoral area of the eastern Tibetan Plateau. Multi-density monoculture and mixed seeding were employed to establish artificial grassland communities with varying structures. By comparing the soil microbial community structure of the differently treated artificial planting grass, degraded grassland with bald spots, and natural grassland, it was confirmed that plant community diversity significantly influences the microbial community structure. The high-density planting treatment of multiple forage grasses had a more pronounced impact on the soil microbial community structure compared to that of the high-density planting treatment of a single variety of forage grass. The soil microbial community diversity index of the four mixed-planting treatments was higher than those of the other artificial grassland treatments and the natural grassland treatments, and the soil microbial community structure was most similar to that of the natural grassland. Avena sativa planting increased the abundance of Actinobacteria and Basidiomycota and decreased the number of Acidobacteria by increasing the soil pH value. The AFP (As+Fs+Pp) treatment reduced the proportion of Mortierellomycota in the soil by decreasing the content of available phosphorus. The AEFP (As+En+Fs+Pp) treatment increased the number of Proteobacteria by raising the soil total phosphorus content and reduced the abundance of Acidobacteria by lowering the soil pH value. Additionally, a machine learning method was used to evaluate the comprehensive performance of 21 artificial grassland treatments on nine soil physical and chemical properties. It was found that the AEFP mixed-planting and high-density planting treatments had the greatest improvement effect on the nine soil physical and chemical properties, which was conducive to sustainable land use. [ABSTRACT FROM AUTHOR]

Sustainable development is vital for achieving balanced progress across the economic, environmental, and health domains, and it is closely tied to the global drive for addressing climate change and environmental challenges. In this context, reaching the "Dual-Carbon" targets—carbon peaking and carbon neutrality—have become critical priorities both domestically and internationally. As a result, the cultivation of Dual-Carbon professionals is essential for driving sustainable development. This paper investigates the sustainable development capacity of Dual-Carbon professionals through an empirical study of 613 undergraduates in China utilizing Astin's I-E-O theoretical model. This research examines the impact of course experience, self-efficacy, and learning engagement on sustainable development capacity. The results demonstrate that the course experience has a significant positive direct effect on sustainable development capacity. Moreover, self-efficacy mediates the relationship between the course experience and sustainable development capacity, while both self-efficacy and learning engagement serve as chain mediators. Based on these findings, this paper offers practical strategies to enhance the sustainable development capacity of Dual-Carbon undergraduates, providing valuable insights for the education and training of future Dual-Carbon professionals. [ABSTRACT FROM AUTHOR]

Our aim is to analyze the emergy evaluation indicators of the agricultural ecosystem in Dazhou, northeastern Sichuan, and provide practical and effective recommendations for sustainable agricultural development. Using emergy analysis, the emergy inputs and outputs of an agricultural ecosystem from 2002 to 2022 were calculated. Five emergy indicators were selected for evaluation: emergy yield ratio (EYR), emergy self-sufficiency ratio (ESR), emergy input ratio (EIR), environmental load ratio (ELR), and emergy sustainable indices (ESI). The total emergy input of the agricultural ecosystem showed an upward trend from 2002 to 2017, thus the industrial auxiliary emergy input decreased, somewhat curbing its continued rise from 2017 to 2022. The structure of emergy inputs, in descending order, is as follows: industrial auxiliary > organic emergy > renewable environmental resources > non-renewable environmental resources. The total emergy output of the agricultural ecosystem was highest in 2007, reaching 2.31 × 1022 Sej, and lowest in 2012, at 1.83 × 1022 Sej. The structure of emergy outputs, in descending order, is as follows: livestock > planting > fishery > forestry. The emergy yield ratio fluctuated down from 3.12 to 2.51, with an average of 2.88, below the provincial average of 3.07. The emergy self-sufficiency ratio fluctuated down from 0.30 to 0.26, with an average of 0.27, above the provincial average of 0.13. The emergy input ratio fluctuated up from 2.31 to 2.91, with an average of 2.66, above the provincial average of 1.86. The environmental load ratio fluctuated from 3.8 to 4.75, with an average of 4.40, which is higher than the provincial average of 1.68. The emergy sustainable indices fluctuated down from 0.81 to 0.53, with an average of 0.67, below the provincial average of 1.17. The efficiency of resource utilization in the agricultural ecosystem of Dazhou has decreased, economic inputs have increased, and it is in a consumptive production process. The pressure on the local natural environment is increasing, and the capacity for sustainable development remains at a low level over the long term. [ABSTRACT FROM AUTHOR]

(1) Background: Colorado's (CO) Environmental Justice mapping tool, CO EnviroScreen, quantifies environmental injustices through "EnviroScreen Scores", highlighting areas likely affected by environmental health disparities. Identifying the specific scores most strongly associated with mortality could help prioritize interventions and allocate resources to address these issues. This study contributes to sustainable development goals by examining the relationship between environmental justice indicators and population health outcomes. By utilizing the CO EnviroScreen tool, we assess how cumulative environmental exposures and vulnerabilities impact mortality rates, providing insights for sustainable planning and public health policies. (2) Methods: We assessed the cross-sectional association between county-level all-cause mortality rates in CO, using 2019 data from the Colorado Department of Public Health and Environment, and three county-level component scores obtained from CO EnviroScreen: sensitive populations (i.e., health-related outcomes), environmental exposures (e.g., from air, water, noise), and climate vulnerability (i.e., risk of drought, flood, extreme heat, wildfire). A quasi-Poisson generalized linear model was utilized, incorporating covariates (county-level metrics for insufficient sleep, alcohol overconsumption, physical inactivity, and smoking) to explore associations adjusted for behavioral risk factors (n = 64 counties). (3) Results: The analysis revealed that a 10% increase in the "Environmental Exposures" component score was associated with a 3% higher all-cause mortality rate (95% CI: 1.00, 1.05), highlighting the importance of addressing environmental determinants for sustainable community health. No significant associations were observed for the "Sensitive Populations" or "Climate Vulnerability" component scores. (4) Conclusions: This study provides novel evidence of an association between the CO EnviroScreen score, particularly the environmental exposure component, and all-cause mortality rates at the county level in Colorado in 2019. The findings suggest that cumulative environmental exposures may contribute to geographic disparities in mortality risk, even after adjusting for key behavioral risk factors. These results underscore the importance of integrating environmental justice considerations into sustainable development strategies to promote equitable health outcomes and resilient communities. While our study demonstrates the utility of CO EnviroScreen in identifying areas at risk due to environmental factors, it does not establish a direct link to broader environmental justice outcomes. Further research is needed to explore specific environmental exposures and their direct impacts on health disparities to provide a more complete picture of environmental justice in Colorado. [ABSTRACT FROM AUTHOR]

In this study, we visualize and analyze the literature on the Brahmaputra river using a spectral clustering algorithm, tracking research trends over time. We found that the focus of research on the Brahmaputra has changed over time in the last decade, with a shift from geology to hydrology and geochemistry and a rapid growth in climate change research in recent years. In the future, potential hot topics may be "water resource management" and other topics related to transboundary water resource management and cooperation. At the same time, this study also analyzes in detail the keywords and clusters "geohydrology" and "ecological risk and sustainable development", among other topics. We believe that future research should carefully consider the potential effects of transdisciplinary research trends. For instance, it is urgent that transborder governance and management regimes be renovated through joint efforts and cross-border effective actions carried out by multifaceted and multi-scalar agencies along this river. [ABSTRACT FROM AUTHOR]

In today's global context, challenges persist in preventing agri-food waste due to factors like limited consumer awareness and improper food-handling practices throughout the entire farm-to-fork continuum. Introducing a forward-thinking solution, the upcycling of renewable feedstock materials (i.e., agri-food waste and by-products) into value-added ingredients presents an opportunity for a more sustainable and circular food value chain. While multi-product cascade biorefining schemes show promise due to their greater techno-economic viability, several biotechnological hurdles remain to be overcome at many levels. This mini-review provides a succinct overview of the biotechnological and societal challenges requiring attention while highlighting valuable food-grade compounds derived from biotransformation processes. These bio-based ingredients include organic acids, phenolic compounds, bioactive peptides, and sugars and offer diverse applications as antioxidants, preservatives, flavorings, sweeteners, or prebiotics in foodstuffs and other consumer goods. Therefore, these upcycled products emerge as a sustainable alternative to certain potentially harmful artificial food additives that are still in use or have already been banned from the industry. [ABSTRACT FROM AUTHOR]

The article mainly examines spatial diversification of the green economy in EU countries in 2014 and 2021 in the context of the energy transformation process. In the theoretical part of the work, the green economy concept, with reference to the conditions of the green energy, was analyzed. The research procedure used in the article is based on multidimensional comparative analysis. The empirical verification was conducted using green economy indicators that are published periodically by the OECD and Eurostat. Based on 21 indicators, a synthetic green economy index was designed for 27 EU member states. In the selected set of detailed indicators, those related to green energy economy played an important role. This approach allowed for the creation of rankings and comparisons between EU countries in 2014 and 2021, i.e., the implementation period of the Europe 2020 Strategy. In this period, the priority areas of EU development were: the low-carbon economy, including the use of renewable energy sources and improvement of energy efficiency, as well as the introduction of eco-innovation. Green energy should be the basis for the functioning of highly developed countries and socio-economic progress in the case of developing countries. Based on the analysis, a large discrepancy in terms of green economy was observed in the examined countries. Particular attention was paid to disproportions in the area of green energy. The average value of the synthetic measure of the green economy in the EU countries increased in the studied years from 0.4488 to 0.4529, which can be interpreted as a slight acceleration in the greening processes. The added value of the research presented in the paper and its novelty is the analysis of the current patterns of green transformation in EU member states, with particular emphasis on energy factors. [ABSTRACT FROM AUTHOR]

This study presents an analysis of the relationship between the servitization process and energy sustainability in the years 2015–2020. The research refers to 164 selected countries, also divided into two regimes: developed and developing. The transformation of the manufacturing process, and as a result, the economy's structure, towards servitization, is observed in most countries worldwide. The positive influence of the servitization of production by individual manufacturers on sustainability is widely known. In this research, this relationship is considered on a macroeconomic scale, which is one of the novelties of the study. Particularly, sustainability in the energy sector, indicated as an achievement of the 7th goal of Sustainable Development, is discussed. Energy sustainability is evaluated using a synthetic measure by Perkal. This part of the research shows the problem of the low level of energy sustainability in developing countries (particularly in Africa) compared with developed ones. Moreover, spatio-temporal sensitivity models are estimated and verified. The sensitivity parameter in these models shows the impact of the progress in the servitization process on energy sustainability. The models have been enriched with the effects of spatial dependence between countries, taking into account two types of proximity matrices based on (1) the common border criterion and (2) the similarity of the development levels measured by the Human Development Index. Additionally, the differences in sensitivity between developed and developing countries are considered. The results of the study show that in both cases, the economic servitization positively influences energy sustainability, but the strength of the relationship is stronger in the group of developed countries. This can be, for example, the result of the individual characteristics of the given countries, where African countries mainly benefit from agricultural development. Only after reaching a certain level of economic growth will they be able to obtain sustainability faster through economic servitization. [ABSTRACT FROM AUTHOR]

Urban green infrastructure plays a significant role in sustainable development and requires proper land management during planning. This study develops a valuation model for urban green infrastructure in land management, focusing on Zagreb's 17 city districts. The fuzzy AHP method was used to calculate the weighting coefficients for a suitable set of criteria, and the TOPSIS method was used to select the priority city districts for implementing green infrastructure. The research results are relevant to decision makers, who can utilize them to prioritize areas for the development and implementation of green infrastructure. The green infrastructure index calculated in this study can be compared with other spatial and land data for effective spatial planning. [ABSTRACT FROM AUTHOR]

Energy is pivotal in achieving sustainable development's economic, social, and environmental objectives. However, to attain this crucial goal, it is essential to focus on the type of energy we generate and the methods by which we use them. The availability, accessibility, and use of green technologies have improved significantly since the Fourth Industrial Revolution (4IR). This paper applies the pooled mean group Autoregressive Distributed Lag (PMG ARDL) model from 2000 to 2021 to 11 countries that, according to the Climate Council, are most affected by environmental degradation issues and are taking new initiatives to reduce their emissions. The results indicate a significant relationship between renewable energy consumption and technological advancements in the short and long term. However, there needs to be more of the literature about the negative impact of research and development on renewable energy consumption. The findings of this paper can assist policymakers in determining effective strategies in the renewable energy sector, as any technological advancement is an innovative way to transform the renewable energy industry completely. By optimizing energy production and reducing costs, technological advancement can help a country achieve its renewable energy goals. [ABSTRACT FROM AUTHOR]

Energy transition and green innovation have appeared as new hopes for environmental impact due to human activity, which has destroyed biodiversity and increased environmental degradation. Therefore, developed and emerging economies are focusing on green innovation and energy transition to tackle the environmental impact. Thus, this study was initiated to provoke a meaningful relationship between energy transition, economic growth, trade, green innovation, and good governance to measure the role of concerning factors in achieving environmental sustainability. For this objective, dynamic econometric approaches such as cointegration, heteroskedastic OLS estimation using GMM (HOLS-GMM), AMG, and Driscoll–Kraay were implemented to estimate the Asian dataset between 1990 and 2022. The result indicates that concerning factors have a significant influence on environmental impact. The findings specify that a 1% rise in the energy transition and green innovation will influence the environment by 0.0517% and 3.051%, respectively. Further, AMG and Driscoll–Kraay validate the findings of HOLS-GMM. The robust tests indicate that the factors, which are concerning, significantly impact environmental sustainability. Consequently, the energy transition, trade, and green innovation significantly contribute to attaining ecological sustainability in the long term, and the Sustainable Development Theory prevails in the economy. Thus, innovative policy implications, including energy transition, green innovation, trade, and economic growth, are required to make Asia prominent in achieving environmental sustainability via implementing sustainable and green technologies and clean energy sources. [ABSTRACT FROM AUTHOR]

Meeting renewable energy targets is one of the most significant global challenges to achieving SDG 7—Ensure access to affordable, reliable, sustainable, and modern energy for all. This study focuses on the global energy transition to understand the factors that influence success or failure in achieving targets. First, the gap between the stated targets and our predictions was calculated. Next, the roles of economic, political, and environmental variables in determining this gap were analyzed. Data were collected from 63 countries from 2000 to 2022, ensuring the global representativeness and robustness of the results. Many countries may struggle to meet their renewable energy targets. Political stability, regulatory quality, and investment freedom play a remarkable role in helping countries get closer to achieving their targets. More industrialized countries with large populations face greater challenges due to high energy intensity. This paper aims to predict the propensity of countries to meet their energy targets by integrating the forecasting and analysis of the economic, political, and geographical factors that influence a green transition. The results provide new insights into how socioeconomic and geopolitical differences influence the energy transition, offering insights for more effective policies. It is argued that accelerated administrative procedures are needed to reduce investment uncertainty and improve energy systems' flexibility. In addition, involving local communities in the decision-making process is important to ensure the acceptance of RE projects. Finally, introducing energy markets that reflect the characteristics of renewable sources is recommended to facilitate a more rapid and sustainable transition. [ABSTRACT FROM AUTHOR]

This article reports the proposal for the use of towers solar (solar chimneys) in urban environments in order to take advantage of landfills, unpopulated or wild hills within or near cities, clearing landfills, artificial hills; considering that the solar tower can maintain the mechanical power of its wind turbine constant. To this end, a mathematical model has been developed to determine the collector area based on solar radiation and the mechanical power of the turbine. The present proposal has the potential that at a technical level there is the possibility of producing electrical energy, production of water intended to create/maintain green environments or for the population, hydrogen production, capture of atmospheric pollutants, measurement of air quality and elimination of cloud cover. [ABSTRACT FROM AUTHOR]

Improving energy utilization efficiency is a crucial means to achieve energy conservation, emission reduction, and green development. At present, to establish a high-quality development framework and satisfy the growing need for a better life among all its people, China must steadfastly pursue the path of green development. Although China's substantial economic scale and achievements in ecological civilization construction provide favorable conditions for green transformation, there remains a significant gap compared to developed countries in the application of green and clean technologies. Confronted with technological bottlenecks, leveraging emerging technologies such as industrial robots from the new round of scientific and technological revolutions to improve the green total factor energy efficiency (GTFEE) is of critical importance to China's green development. This study explores the potential impact of industrial robots on enhancing China's GTFEE. It begins by reviewing the current research landscape in this field, highlighting its shortcomings, and theorizing potential impact pathways of industrial robots. Subsequently, the paper analyzes data from 2010 to 2019 on the usage of industrial robots and GTFEE across 276 cities at the prefectural level or above in China. Through empirical regression models that incorporate control variables and interaction terms, the study investigates the specific impacts of industrial robots on energy efficiency and their mechanisms of action. The results indicate that industrial robots significantly enhance the GTFEE of Chinese cities, especially in the Northeastern region. Industrial robots notably improve the GTFEE in resource-based cities, old industrial bases, and low-carbon pilot cities. Additionally, robots indirectly boost GTFEE by increasing labor productivity. Enhanced levels of green innovation and environmental regulations also positively moderate the effectiveness of industrial robots in improving energy efficiency. The findings of this research can assist local government agencies in coordinating and implementing policies that are conducive to green development, making better use of industrial robots to serve the people, and are of significant importance for promoting the transformation of China's economy and society towards high-quality development. [ABSTRACT FROM AUTHOR]

Tungsten is a crucial strategic metal that plays a significant role in various fields, such as the defense industry, fine chemicals, and the preparation of new materials. During the practice of numerous tungsten smelting processes, a large amount of acidic wastewater containing low concentrations of WO3 is generated. The adsorption method, known for its simplicity, effectiveness, and ease of operation, represents the most promising approach for tungsten recovery and is vital for the sustainable development of the tungsten industry. In this study, D318 macroporous resin was used as an adsorbent to investigate its effectiveness in adsorbing WO3 from acidic solutions. Static adsorption experiments revealed that the adsorption capacity of D318 resin for WO3 was 683 mg·g−1. Kinetic analysis indicated that the controlling step for the adsorption of WO3 from acidic solutions by D318 resin was intraparticle diffusion. Thermodynamic analysis demonstrated that the adsorption process was endothermic and could occur spontaneously. By fitting the isothermal adsorption equation, it was found that the Langmuir model was more suitable for describing the adsorption process of WO3 on D318 resin in acidic solutions. The results of dynamic adsorption experiments showed that under optimized conditions, the dynamic adsorption capacity for WO3 was 529 mg·g−1; when using NaOH as the desorbent for cyclic desorption, the desorption rate for WO3 was 98.21%. XPS and SEM-EDS testing and analysis confirmed that D318 macroporous resin exhibited excellent adsorption performance for tungsten in acidic solutions. [ABSTRACT FROM AUTHOR]

As the "carbon neutrality" strategy is implemented, green technology R&D, a core competitive strength for sustainable enterprise development, is an essential pathway for China's transformation and green growth. Green technology, a breakthrough over traditional production technologies, involves lengthy and costly R&D processes with high risks typically beyond the reach of a single enterprise. It requires the heterogeneous functions of enterprises, universities, and research institutions to complement each other's advantages and establish an "industry–university–research" collaborative innovation alliance for green technologies. This paper constructs differential game models for non-cooperative and cooperative green technology R&D involving a green manufacturer and a research institution. We solve and compare the profits for both parties under these scenarios, apply a time-consistent payment distribution mechanism to allocate cooperative profits, and ensure that neither party deviates from the optimal cooperative trajectory over a prolonged period, achieving Pareto improvement and enhancing social welfare. [ABSTRACT FROM AUTHOR]

Three-dimensional printed concrete (3DPC) is increasingly recognized in the construction industry for its high design flexibility and the elimination of conventional formwork. However, weak interlayer adhesion remains a significant challenge. The potential of recycled polyethylene terephthalate (PET) fibers for reinforcing 3DPC is being explored, driven by their environmental sustainability and economic advantages. However, there is an inadequate interfacial adhesion between these recycled fibers and the 3DPC matrix. This study investigated the use of dopamine modification to address this issue and enhance the interlayer adhesion of fiber-reinforced 3DPC. Recycled PET fibers were surface-modified using dopamine treatment, forming a polydopamine (PDA) film that improved surface roughness and hydrophilicity. Both unmodified and modified fibers were incorporated into 3DPC at various volume fractions (0.1%, 0.3%, 0.5%). The effects on interlayer adhesion strength, compressive strength, and flexural strength were systematically evaluated and compared. The results showed that the inclusion of 0.3 vol% dopamine-modified fibers resulted in a 22.5% increase in interlayer adhesion strength compared to the control group, and a 14.8% improvement over unmodified fibers at the same content. Additionally, the compressive strength and flexural strength of 3DPC with 0.3 vol% MPET fibers increased by 22.5% and 27.6%, respectively, compared to the control group. Microstructural analysis using SEM and XRD revealed that the dopamine modification significantly improved the interfacial adhesion between fibers and the concrete matrix, explaining the superior performance of modified fibers. This study demonstrates that recycled PET fibers modified with dopamine can effectively enhance the interlayer adhesion of 3DPC. The findings affirm that surface modification techniques can significantly elevate the utility of recycled PET fibers in 3DPC, contributing to the sustainable advancement of construction materials. [ABSTRACT FROM AUTHOR]

The current framework for managing construction waste, guided by European Union regulations, calls for an integrated waste management system. However, the reuse of old plaster waste, particularly from deteriorated facades, remains underexplored. This study investigates the potential of repurposing old plaster waste as a substitute for aggregates and cement in mortars, with the aim of promoting environmental sustainability and resource efficiency. Three mortar mixes were analyzed: a control mix, a mix with 45% waste replacing aggregates, and a mix with 10% waste replacing cement. Results show that replacing 45% of aggregates with plaster waste led to a 30% reduction in flexural strength, while the 10% cement replacement increased flexural strength by 6%. Compressive strength dropped by 27% and 38% for cement and aggregate replacements, respectively. Despite these reductions, the waste replacement remained within acceptable limits for structural integrity. Further microscopic analysis revealed that the incomplete integration of portlandite particles from the waste contributed to non-uniform bonding and crystal formation, weakening the mortar's structure. This research demonstrates the feasibility of reusing old plaster waste, offering a novel approach to reducing construction waste and promoting a circular economy. It contributes to filling the knowledge gap on the reuse of plaster mortars while aligning with sustainable construction goals. [ABSTRACT FROM AUTHOR]

As an important ecological barrier and a crucial base for animal husbandry in China, the forage–livestock balance in the Three-River-Source Region (TRSR) directly impacts both the degradation and recovery of grassland. This study examines the forage–livestock balance in the TRSR over the past 13 years (2010–2022) by calculating both the theoretical and actual livestock carrying capacity, thereby providing a scientific basis for regional animal husbandry policies. Firstly, the Carnegie–Ames–Stanford Approach (CASA) model was improved to fit the specific characteristics of alpine grassland ecosystem in the TRSR. This enhanced model was subsequently used to calculate the net primary productivity (NPP) of the grassland, from which the regional grassland yield and theoretical livestock carrying capacity were derived. Secondly, the actual livestock carrying capacity was calculated and spatialized based on the number of regional year-end livestock. Finally, the livestock carrying pressure index was determined using both the theoretical and actual livestock carrying capacity. The results revealed several key findings: (1) The average grassland NPP in the TRSR was 145.44 gC/m2, the average grassland yield was 922.7 kg/hm2, and the average theoretical livestock carrying capacity was 0.55 SU/hm2 from 2010 to 2022. Notably, all three metrics showed an increasing trend over the past 13 years, which indicates the rise in grassland vegetation activities. (2) The average actual livestock carrying capacity over the 13-year period was 0.46 SU/hm2, showing a decreasing trend on the whole. The spatial distribution displayed a pattern of higher capacity in the east and lower in the west. (3) Throughout the 13 years, the TRSR generally maintained a forage–livestock balance, with an average livestock carrying pressure index of 0.96 (insufficient). However, the trend of livestock carrying pressure is on the rise, with serious overloading observed in the western part of Qumalai County and the northern part of Tongde County. Slight overloading was also noted in Zhiduo, Maduo, and Zeku Counties. Notably, Tanggulashan Town, Zhiduo, Qumalai, and Maduo Counties showed significant increases in livestock carrying pressure, while Zaduo County and the eastern regions experienced significant decreases. In conclusion, this study not only provides feasible technical methods for assessing and managing the forage–livestock balance in the TRSR but also contributes significantly to the sustainable development of the region's grassland ecosystem and animal husbandry industry. [ABSTRACT FROM AUTHOR]

Using plant extracts to replace traditional chemical herbicides plays an essential role in sustainable agriculture. The present work evaluated the quality of durum wheat cv Valbelice in two years (2014 and 2016) using plant aqueous extracts of sumac (Rhus coriaria L.) and mugwort (Artemisia arborescens L.) as bio-herbicides on the main quality characteristics of durum wheat. The untreated, water-treated, and chemically treated durum wheat products were also analyzed as controls. Following the official methodologies, grain commercial analyses and defects of the kernels were determined. The main chemical and technological features were determined on the wholemeal flour: proteins, dry matter, dry gluten, gluten index, colorimetric parameters, mixograph, falling number, and sedimentation test in SDS. An experimental bread-making test was performed, and the main parameters were detected on the breads: bread volume, weight, moisture, porosity, hardness, and colorimetric parameters on crumb and crust. Within the two years, grain commercial analyses of the total five treatments showed no statistically significant differences concerning test weight (range 75.47–84.33 kg/hL) and thousand kernel weight (range 26.58–35.36 kg/hL). Differently, significant differences were observed in terms of kernel defects, particularly starchy kernels, black pointed kernels, and shrunken kernels, mainly due to the year factor. Analyses on the whole-grain flours showed significant differences. This affected dry gluten content (7.35% to 16.40%) and gluten quality (gluten index from 6.44 to 45.81). Mixograph results for mixing time ranged from 1.90 min to 3.15 min, whilst a peak dough ranged from 6.83 mm to 9.85 mm, showing, in both cases, statistically significant differences between treatments. The falling number showed lower values during the first year (on average 305 s) and then increased in the second year (on average 407 s). The sedimentation test showed no statistically significant differences, ranging from 27.75 mm to 34.00 mm. Regarding the bread produced, statistically significant year-related differences were observed for the parameters loaf volume during the first year (on average 298.75 cm3) and then increased in the second year (on average 417.33 cm3). Weight range 136.85 g to 145.18 g and moisture range 32.50 g/100 g to 39.51 g/100 g. Hardness range 8.65 N to 12.75 N and porosity (range 5.00 to 8.00) were closely related to the type of treatment. Finally, the color of flour and bread appeared to be not statistically significantly affected by treatment type. From a perspective of environmental and economic sustainability, the use of plant extracts with a bio-herbicidal function could replace traditional chemical herbicides. [ABSTRACT FROM AUTHOR]

In order to gain an in-depth understanding of the geothermal geological characteristics and heat-forming conditions in the Tangyuan fault-depression area, this paper has carried out a series of detailed geological works, including geological surveys and geophysical explorations. Through these works, combined with the results of systematic drilling, sampling tests, and dynamic monitoring, we have studied, analyzed, and compared the relevant data to achieve a comprehensive understanding of the geological characteristics in the Tangyuan fault-depression area. During the research process, we preliminarily determined the stratigraphic structure and geological structure in this area and clarified the characteristics of the main geothermal reservoir and its burial conditions. These findings provide basic data support for our understanding of the formation and distribution of geothermal resources. At the same time, we have carried out a systematic analysis of the basic geothermal geological parameters, laying the foundation for the future calculation and evaluation of geothermal resource reserves. Through the collation and analysis of these research results, this paper not only provides a scientific basis for the development of geothermal resources in the Tangyuan fault-depression area but also provides specific references for future development prospect plans. This series of work will lay a solid foundation for further development and utilization of geothermal resources and promote the sustainable development of the regional economy. [ABSTRACT FROM AUTHOR]

Groundwater depletion in Bangladesh's Barind tract poses significant challenges for sustainable water management. This study aims to delineate groundwater recharge potential zones in this region using an integrated geospatial and Analytical Hierarchy Process (AHP) approach. The methodology combines remote-sensing data with GIS analysis, considering seven factors influencing groundwater recharge: rainfall, soil type, geology, slope, lineament density, land use/land cover, and drainage density. The AHP method was employed to assess the variability of groundwater recharge potential within the 7586 km2 study area. Thematic maps of relevant factors were processed using ArcGIS software. Results indicate that 9.23% (700.22 km2), 47.68% (3617.13 km2), 37.12% (2816.13 km2), and 5.97% (452.70 km2) of the study area exhibit poor, moderate, good, and very good recharge potential, respectively. The annual recharge volume is estimated at 2554 × 106 m3/year, constituting 22.7% of the total precipitation volume (11,227 × 106 m3/year). Analysis of individual factors revealed that geology has the highest influence (33.57%) on recharge potential, followed by land use/land cover (17.74%), soil type (17.25%), and rainfall (12.25%). The consistency ratio of the pairwise comparison matrix was 0.0904, indicating acceptable reliability of the AHP results. The spatial distribution of recharge zones shows a concentration of poor recharge potential in areas with low rainfall (1200–1400 mm/year) and high slope (6–40%). Conversely, very good recharge potential is associated with high rainfall zones (1800–2200 mm/year) and areas with favorable geology (sedimentary deposits). This study provides a quantitative framework for assessing groundwater recharge potential in the Barind tract. The resulting maps and data offer valuable insights for policymakers and water resource managers to develop targeted groundwater management strategies. These findings have significant implications for sustainable water resource management in the region, particularly in addressing challenges related to agricultural water demand and climate change adaptation. [ABSTRACT FROM AUTHOR]

Under the dual pressures of rapid urbanization and intensifying global climate change, China has proposed governance policies aimed at promoting ecological urban construction. Wetland landscapes play a key role in sustaining human and social well-being. As a significant city in the middle reaches of the Yangtze River, Wuhan's wetland resources play an irreplaceable role in maintaining the regional ecological balance and promoting sustainable economic and social development. However, urbanization poses a severe challenge to the ecological service functions of wetlands. Consequently, in this study, we analyzed the spatial–temporal evolution patterns of the sub-functional systems of carbon sequestration, biodiversity conservation, water yield, and water purification in five wetland types in Wuhan City from 2000 to 2020 by using the CASA model and InVEST model. Then, a wetland multi-functional assessment framework was constructed to quantify the comprehensive multi-function score. It is imperative to unravel the underlying mechanisms driving the changes in wetland functions and to explore the equilibrium point between wetland conservation and urban sustainable development. Our results show that the wetland area of Wuhan City decreased from 5077.33 km2 in 2000 to 4696.60 km2 in 2020, and the wetland multi-functions exhibited significant spatial heterogeneity from 2000 to 2020. Wetland carbon sequestration increased from 0.94 Tg in 2000 to 1.11 Tg in 2020. The wetland habitat quality declined from 0.13 in 2000 to 0.11 in 2020. The water production of the wetlands increased from 5.43 × 109 t in 2000 to 22.59 × 109 t in 2020. The wetland N loss decreased from 55,850.58 t in 2000 to 49,209.93 t in 2020. The highest multi-function score was in paddy fields, which increased from 0.41 ± 0.12 to 0.51 ± 0.12, followed by tidal flats, which increased from 0.39 ± 0.14 to 0.50 ± 0.16, and the lowest was rivers, which also increased from 0.33 ± 0.12 to 0.41 ± 0.14. The multi-function score was closely related to the wetland type and urban development direction over the past two decades, and it was negatively correlated with production and living density, providing new ideas for wetland ecological protection and construction in Wuhan City. [ABSTRACT FROM AUTHOR]

Identifying the green efficiency of water resources and its driving factors is paramount for promoting sustainable development in China. The existing research has primarily focused on the spatial heterogeneity of individual factors that impact green efficiency of water resources. However, it has often overlooked the heterogeneity in the interactions between these factors. In this study, we utilized a multiscale geographically weighted regression (MGWR) model to discern the spatial heterogeneity of the individual factors influencing the green efficiency of water resources in China between 2002 and 2016. Subsequently, we demarcated several subregions based on the coefficients derived from the MGWR model. Employing a geographical detector (GD), we quantified the interactive impacts of different factors within these subregions. Our findings unveiled, for the first time, the diverse patterns in the temporal and spatial fluctuations in the factors impacting the eco-friendliness of water resources. The findings underscored that disregarding the spatial heterogeneity of these interactive effects may result in an underestimation of the interactions among factors. Significantly, in 2016, the impact of tertiary industry proportion and completed investment in pollution treatment displayed an enhanced non-linear effect across the entire sample and concurrently demonstrated a bivariate enhanced effect within subregions. These discoveries contribute to a deeper comprehension of the mechanisms influencing these factors, providing valuable insights for policymakers in crafting region-specific water resource policies tailored to the unique developmental requirements of different areas. [ABSTRACT FROM AUTHOR]

As an important carrier of sports services and the main force participating in the "short board" project of urban development, the renovation and upgrading of old stadiums have become an important trend for the sustainable development of venues in the context of urban renewal, consumption upgrading, and national fitness. However, owing to the complexity of the transformation process, the probability of safety accidents continues to increase, posing a serious threat to national property security. In order to reasonably evaluate the safety of the stadium renovation construction process and reduce the incidence of accidents in the renovation project, this study proposed a safety evaluation model for the stadium renovation construction based on the combination weighting extension model. First, according to the 5M1E theory, 27 influencing factors were selected, a safety evaluation index system for stadium reconstruction construction was constructed, and the safety evaluation grade of the index was quantified. Second, based on the analytic hierarchy process (AHP) and improved entropy weight method, the combination weight of the index was determined, and a safety evaluation model was constructed using the matter–element extension theory. Finally, the established evaluation model was applied to the example of stadium renovation, and the construction safety level of the renovation project was obtained. The research results showed that the model has strong operability, and the evaluation results are reasonable and reliable, providing a new concept for the safety control of stadium reconstruction construction. [ABSTRACT FROM AUTHOR]

The mechanical multiplier gearbox is one of the most important parts for wind power generation efficiency. Modern epicyclic gearboxes are compact, lightweight builds capable of high power ratings with coaxial input and output shafts. To achieve this, it is very important to select the proper internal gearbox layout and other relevant parameters in the early design stages as the wrong choices will result in a suboptimal solution. Parametric optimization was applied to select the optimal gearbox solution for a wind turbine application, while taking into account both two-carrier and three-carrier solutions. The large number of possible solutions has resulted in the development of the 2-SPEED software to conduct systematic analysis and comparison. The best five two-carrier solutions and the one best three-carrier solution have been selected from the solution pool, with the selection being based on the criteria of maximum efficiency, minimum weight, and minimal greater-ring diameter size. One optimal two-carrier solution was then selected from the five and compared to the three-carrier solution. Recommendations for the selection of either two-carrier and three-carrier gear train solutions according to the application demands have been deducted and provided. This will result in lighter, more efficient designs with smaller radial dimensions. [ABSTRACT FROM AUTHOR]