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16 pages, 2118 KiB  
Article
Waste Foundry Sand as an Alternative Material in Road Construction
by Vivian Silveira dos Santos Bardini, Luis Miguel Klinsky, Antonio Albuquerque, Luís Andrade Pais and Fabiana Alves Fiore
Sustainability 2025, 17(6), 2370; https://doi.org/10.3390/su17062370 - 7 Mar 2025
Abstract
The generation of solid waste and the use of non-renewable natural resources in the foundry industry are environmental challenges that require the search for solutions that guarantee the application of circular economy and cleaner production principles. Studies on the reuse of Foundry Sand [...] Read more.
The generation of solid waste and the use of non-renewable natural resources in the foundry industry are environmental challenges that require the search for solutions that guarantee the application of circular economy and cleaner production principles. Studies on the reuse of Foundry Sand Waste (FSW) generated in this process can guarantee the minimization of the current environmental impact and contribute to the achievement of sustainability in the industrial sector. The objective of this study is to assess the feasibility of utilizing WFS in the construction of pavement bases and sub-bases, in combination with sandy soil and hydrated lime. The laboratory experimental program included the evaluation of compaction characteristics, California Bearing Ratio (CBR), compressive strength, and resilient modulus. The results indicate that the addition of 25% and 50% WFS yields predicted performance levels ranging from good to excellent. The inclusion of hydrated lime enables the mixtures to be employed in sub-bases and bases, while the increased WFS content further enhances load-bearing capacity by up to 60% and 75% for 25% and 50% WFS, respectively. Full article
(This article belongs to the Special Issue Sustainable Materials: Recycled Materials Toward Smart Future)
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<p>Particle size distribution of the WFS.</p>
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<p>Particle size distribution of the soil.</p>
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<p>Particle size distribution of the materials.</p>
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<p>Compaction curves of the mixes containing WFS and HL.</p>
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<p>Behavior of (<b>a</b>) CBR and (<b>b</b>) expansion of all the samples as a function of the WFS content.</p>
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<p>Behavior of the UCS in the mixes containing WFS and HL.</p>
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<p>R<sup>2</sup> of the mixtures for the models studied according to the WFS content and the presence of hydrated lime.</p>
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<p>Range of RM values.</p>
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<p>RM values calculated by the composed model and σd = 41.34 kPa and σ3 = 13.78 kPa.</p>
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18 pages, 6047 KiB  
Article
Satellite Retrieval and Spatiotemporal Variability in Chlorophyll-a for Marine Ranching: An Example from Daya Bay, Guangdong Province, China
by Junying Yang, Ruru Deng, Yiwei Ma, Jiayi Li, Yu Guo and Cong Lei
Water 2025, 17(6), 780; https://doi.org/10.3390/w17060780 - 7 Mar 2025
Abstract
With the planning and construction of marine ranching in China, water quality has become one of the critical limiting factors for the development of marine ranching. Due to geographical differences, marine ranches exhibit varying water quality conditions under the influence of the continental [...] Read more.
With the planning and construction of marine ranching in China, water quality has become one of the critical limiting factors for the development of marine ranching. Due to geographical differences, marine ranches exhibit varying water quality conditions under the influence of the continental shelf. To the best of our knowledge, there is limited research on satellite-based water quality monitoring for marine ranching and the spatiotemporal variations in marine ranches in different geographical locations. Chlorophyll-a (Chl-a) is a key indicator of the ecological health and disaster prevention capacity of marine ranching, as it reflects the conditions of eutrophication and is crucial for the high-quality, sustainable operation of marine ranching. Using a physically based model, this study focuses on the retrieval of Chl-a concentration in Daya Bay. The coefficient of determination (R2) between the model retrieval values and the in situ Chl-a data is 0.69, with a root mean square error (RMSE) of 1.52 μg/L and a mean absolute percentage error (MAPE) of 44.25%. Seasonal variations in Chl-a concentration are observed in Daya Bay and are higher in spring–summer and lower in autumn–winter. In the YangMeikeng waters, Chl-a concentration shows a declining trend with the development of marine ranching. A comparison between the YangMeikeng (nearshore) and XiaoXingshan (offshore) marine ranches suggests that offshore ranching may be less impacted by terrestrial pollutants. The primary sources of Chl-a input in Daya Bay are the Dan’ao River and the aquaculture areas in the northeastern part of the bay. This study can provide valuable information for the protection and management of marine ranching. Full article
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<p>Location of Daya Bay and the sites of in situ Chl-a data (e.g., GPDEE, SCSIO data). SCSIO represents the in situ data collected by the South China Sea Institute of Oceanology; GPDEE represents the Guangdong Provincial Department of Ecology and Environment data.</p>
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<p>Satellite imagery preprocessing flowchart.</p>
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<p>Accuracy assessment result.</p>
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<p>Intra-annual Chl-a distribution in Daya Bay from Sentinel-2. White areas in the resulting maps indicate land regions. The seasonal divisions in Daya Bay are as follows: March to May is spring, June to August is summer, September to November is autumn, and December to February of the following year is winter.</p>
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<p>The rate of change in Chl-a concentration (μg/L yr<sup>−1</sup>). The map on the left shows the Chl-a concentration change rate in YangMeikeng. Only locations with significant trends (<span class="html-italic">p</span> &lt; 0.05) are color-coded.</p>
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<p>Monthly Chl-a distribution in the YangMeikeng marine ranch.</p>
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<p>Monthly Chl-a distribution in the XiaoXingshan marine ranch.</p>
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<p>Kernel density estimation (<b>a</b>); pollution source Region I (<b>b</b>); pollution source Region II (<b>c</b>).</p>
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26 pages, 9094 KiB  
Article
Study on Ecosystem Service Values of Urban Green Space Systems in Suzhou City Based on the Extreme Gradient Boosting Geographically Weighted Regression Method: Spatiotemporal Changes, Driving Factors, and Influencing Mechanisms
by Tailong Shi and Hao Xu
Land 2025, 14(3), 564; https://doi.org/10.3390/land14030564 - 7 Mar 2025
Abstract
Urban green space systems (UGSS) play a crucial role in enhancing citizens’ well-being and promoting sustainable urban development through their ecosystem service values (ESV). However, understanding the spatiotemporal changes, driving factors, and influencing mechanisms of ESV remains a critical challenge for advancing urban [...] Read more.
Urban green space systems (UGSS) play a crucial role in enhancing citizens’ well-being and promoting sustainable urban development through their ecosystem service values (ESV). However, understanding the spatiotemporal changes, driving factors, and influencing mechanisms of ESV remains a critical challenge for advancing urban green theories and formulating effective policies. This study focuses on Suzhou, China’s third-largest prefecture-level city by economic volume and ecological core city of the Taihu watershed, to evaluate the ESV of its UGSS from 2010 to 2020, identify key driving factors, and analyze their influencing mechanisms. Using the InVEST model combined with the entropy weight method (EWM), we assessed the ESV changes over the study period. To examine the influencing mechanisms, we employed an innovative XGBoost-GWR approach, where XGBoost was used to screen globally significant factors from 37 potential drivers, and geographically weighted regression (GWR) was applied to model local spatial heterogeneity, providing a research perspective that balances global nonlinear relationships with local spatial heterogeneity. The results revealed three key findings: First, while Suzhou’s UGSS ESV increased by 9.92% from 2010 to 2020, the Global Moran’s I index rose from 0.325 to 0.489, indicating that its spatial distribution became more uneven, highlighting the increased ecological risks. Second, climate, topography, landscape pattern, and vegetation emerged as the most significant driving factors, with topographic factors showing the greatest variation (the negatively impacted area increased by 455.60 km2) and climate having the largest overall impact but least variation. Third, the influencing mechanisms were primarily driven by land use changes resulting from urbanization and industrialization, leading to increased ecological risks such as soil erosion, pollution, landscape fragmentation, and habitat degradation, particularly in the Kunshan, Wujiang, and Zhangjiagang Districts, where agricultural land has been extensively converted to constructed land. This study not only elucidates the mechanisms influencing UGSS’s ESV driving factors but also expands the theoretical understanding of urbanization’s ecological impacts, providing valuable insights for optimizing UGSS layout and informing sustainable urban planning policies. Full article
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<p>Urbanization and Industrial Development Data of Suzhou from 2010 to 2020: (<b>a</b>) Line chart of urbanization rate of Suzhou from 2010 to 2020; (<b>b</b>) Line chart of gross industrial output of enterprises above designated size Suzhou from 2010 to 2020;</p>
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<p>Geographical location and research scope of Suzhou City: (<b>a</b>) the location of Jiangsu Province and the location of Suzhou City in Jiangsu Province; (<b>b</b>) the scope of Suzhou City and the division of different districts and counties.</p>
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<p>Procession of land use classification based on random forest algorithm, mainly including (<b>a</b>) Data collection and preprocessing; (<b>b</b>) The land use classification through Random Forest algorithm on GEE platform; (<b>c</b>) Verification of final classification results.</p>
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<p>LULC maps obtained via the random forest algorithm: (<b>a</b>) LULC map in 2010; (<b>b</b>) LULC map in 2015; (<b>c</b>) LULC map in 2020; (<b>d</b>) the detailed categories of land use.</p>
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<p>Land use transition sankey diagram of Suzhou City during 2010–2020.</p>
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<p>Flowchart of the overall study.</p>
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<p>Correlation heatmap: (<b>a</b>) correlation heatmap of the six ESV indicators; (<b>b</b>) correlation heatmaps of the 37 driving factors.circles and lines signifying the degree of linear relationship.</p>
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<p>Results of six values of ecosystem services based on inVEST model.</p>
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<p>Spatial distribution of total ESV: 2010–2020.</p>
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<p>Distribution of the local regression coefficients for the principal components.</p>
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21 pages, 1803 KiB  
Article
Evaluation of the Potential for the Development of the Circular Industry in the Region: A New Approach
by Olga I. Dolgova and Anastasia Y. Nikitaeva
Recycling 2025, 10(2), 38; https://doi.org/10.3390/recycling10020038 - 7 Mar 2025
Abstract
The construction of circular economic models in industry represents a critical mechanism for achieving sustainable development goals. However, data on the development of the circular economy, derived from diverse metrics and assessment methodologies, often yield contradictory results. In light of this, the study [...] Read more.
The construction of circular economic models in industry represents a critical mechanism for achieving sustainable development goals. However, data on the development of the circular economy, derived from diverse metrics and assessment methodologies, often yield contradictory results. In light of this, the study suggested a new approach to evaluating the potential for circularization. This approach entails identifying key factors influencing circularization and assessing their suitability for the implementation of circular models of different levels. The study identified factors and indicators of the potential for industrial circularization at the regional level. The paper proposed a classification of circular economy models that simultaneously take into account the length of the production cycle and the degree of proximity to the circular economy. The rating method is employed to evaluate the potential of a region for the successful implementation of circular economy models. The rating is calculated by constructing both a general integral circularization potential index and individual sub-indices. The application of this methodology enabled the development of a ranking of Russian regions based on their potential for industrial circularization. To make recommendations, the analyzed regions were divided into four groups, according to an evaluation of the circularization potential. Full article
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<p>Factors of regional industry circularization.</p>
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<p>Methodology for evaluation of the circularization potential of the regional industry.</p>
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<p>Distribution of regions of Russia according to the potential of introducing circular models of various types in industry.</p>
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27 pages, 6155 KiB  
Article
Construction and Zoning of Ecological Security Patterns in Yichang City
by Qi Zhang, Yi Sun, Diwei Tang, Hu Cheng and Yi Tu
Sustainability 2025, 17(6), 2354; https://doi.org/10.3390/su17062354 - 7 Mar 2025
Abstract
The study of ecological security patterns is of great significance to the balance between regional economic development and environmental protection. By optimizing the regional ecological security pattern through reasonable land-use planning and resource management strategies, the purpose of maintaining ecosystem stability and improving [...] Read more.
The study of ecological security patterns is of great significance to the balance between regional economic development and environmental protection. By optimizing the regional ecological security pattern through reasonable land-use planning and resource management strategies, the purpose of maintaining ecosystem stability and improving ecosystem service capacity can be achieved, and ultimately regional ecological security can be achieved. As a typical ecological civilization city in the middle reaches of the Yangtze River, Yichang City is also facing the dual challenges of urban expansion and environmental pressure. The construction and optimization of its ecological security pattern is the key to achieving the harmonious coexistence of economic development and environmental protection and ensuring regional sustainable development. Based on the ecological environment characteristics and land-use data of Yichang City, this paper uses morphological spatial pattern analysis and landscape connectivity analysis to identify core ecological sources, constructs a comprehensive ecological resistance surface based on the sensitivity–pressure–resilience (SPR) model, and combines circuit theory and Linkage Mapper tools to extract ecological corridors, ecological pinch points, and ecological barrier points and construct the ecological security pattern of Yichang City with ecological elements of points, lines, and surfaces. Finally, the community mining method was introduced and combined with habitat quality to analyze the spatial topological structure of the ecological network in Yichang City and conduct ecological security zoning management. The following conclusions were drawn: Yichang City has a good ecological background value. A total of 64 core ecological sources were screened out with a total area of 3239.5 km². In total, 157 ecological corridors in Yichang City were identified. These corridors were divided into 104 general corridors, 42 important corridors, and 11 key corridors according to the flow centrality score. In addition, 49 key ecological pinch points and 36 ecological barrier points were identified. The combination of these points, lines, and surfaces formed the ecological security pattern of Yichang City. Based on the community mining algorithm in complex networks and the principle of Thiessen polygons, Yichang City was divided into five ecological functional zones. Among them, Community No. 2 has the highest ecological security level, high vegetation coverage, close distribution of ecological sources, a large number of corridors, and high connectivity. Community No. 5 has the largest area, but it contains most of the human activity space and construction and development zones, with low habitat quality and severely squeezed ecological space. In this regard, large-scale ecological restoration projects should be implemented, such as artificial wetland construction and ecological island establishment, to supplement ecological activity space and mobility and enhance ecosystem service functions. This study aims to construct a multi-scale ecological security pattern in Yichang City, propose a dynamic zoning management strategy based on complex network analysis, and provide a scientific basis for ecological protection and restoration in rapidly urbanizing areas. Full article
22 pages, 7590 KiB  
Article
Development of Magnesium Phosphate Cement Based on Low-Grade MgO
by Ines Garcia-Lodeiro, Salma Chhaiba, Nuria Husillos-Rodriguez, Ángel Palomo and Hajime Kinoshita
Materials 2025, 18(6), 1198; https://doi.org/10.3390/ma18061198 - 7 Mar 2025
Abstract
Magnesium phosphate cements (MPCs) are a class of inorganic cements that have gained significant attention in recent years due to their exceptional properties and diverse applications in the construction and engineering sectors, particularly in the confinement of radioactive waste. These cements set and [...] Read more.
Magnesium phosphate cements (MPCs) are a class of inorganic cements that have gained significant attention in recent years due to their exceptional properties and diverse applications in the construction and engineering sectors, particularly in the confinement of radioactive waste. These cements set and harden through an acid–base reaction between a magnesium source (usually dead-burnt magnesia) and a phosphate source (e.g., KH2PO4). The dead-burnt MgO (DBM) used is typically obtained by calcining pure MgCO3 at temperatures between 1600 and 2000 °C. The present work explores the possibility of using low-grade magnesia (≈58% MgO), a secondary waste product generated during the calcination of magnesite for sintered MgO production. Low-grade magnesia is a by-product from the calcination process of natural magnesite. In this manner, the cost of the products could be substantially diminished, and the cementitious system obtained would be a competitive alternative while enhancing sustainability criteria and recyclability. This paper also evaluates the effect of the M/P ratio and curing conditions (especially relative humidity) on the mechanical, microstructural, and mineralogical development of these cements over a period of up to one year. Results indicate that low-grade MgO is suitable for the preparation of magnesium potassium phosphate cements (MKPCs). The presence of minor phases in the low-grade MgO does not affect the precipitation of K-struvite (KMgPO4·6H2O). Moreover, the development of these cements is highly dependent on both the M/P molar ratio and the RH. Systems prepared with an M/P ratio of 3 demonstrated good compressive strengths, low total porosity, and stable mineralogy, which are essential parameters for any cementitious matrix that aims to be considered as a potential confiner of radioactive waste. Full article
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<p>(<b>a</b>) XRD patterns and (<b>b</b>) FTIR spectrum of low-grade MgO (LG-MgO), (<b>c</b>) FTIR spectrum of KH<sub>2</sub>PO<sub>4</sub>. Legend: b: brucite (Mg(OH)<sub>2</sub>) (PDF 74-2220); q: quartz (SiO<sub>2</sub>) (PDF 65-0466); a: anhydrite (CaSO<sub>4</sub>) (PDF 37-1496), c: calcite (CaCO<sub>3</sub>) (PDF 05-0586), d: dolomite (MgCa(CO<sub>3</sub>)) (PDF05-0622), m: magnesite, MgCO<sub>3</sub> (PDF 08-0479).</p>
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<p>Compressive strengths of MKPCs pastes cured in (<b>a</b>) climatic chamber (21 °C, 99% RH) and (<b>b</b>) laboratory (21 °C, 52% RH).</p>
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<p>XRD patterns of MKPC samples cured in the laboratory (LAB) (52% RH) after (<b>a</b>) 28 d, (<b>b</b>) 90 d, (<b>c</b>) 180 d, (<b>d</b>) 365 d. (Legend: s: K-struvite (MgKPO<sub>4</sub>·6H<sub>2</sub>O-COD: 9011199), p: Periclase (MgO-COD: 9007058), m: magnesite (MgCO<sub>3</sub>-COD: 9000096), d: Dolomite (CaMg(CO<sub>3</sub>)<sub>2</sub>-COD: 1200014), q: Quartz (SiO<sub>2</sub>), *: KMg<sub>2</sub>H(PO<sub>4</sub>)·15H<sub>2</sub>O (PDF 44-0790), ρ: cattite Mg<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub>·22H<sub>2</sub>O).</p>
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<p>Comparation of XRD patterns of M/P = 1 samples cured in CC (99% RH) and LAB (52% RH) (Legend: s: struvite (MgKPO<sub>4</sub>·6H<sub>2</sub>O-COD: 9011199), *: KMg<sub>2</sub>H(PO<sub>4</sub>)·15H<sub>2</sub>O (PDF 44-0790), p: Periclase (MgO-COD: 9007058), m: magnesite (MgCO<sub>3</sub>-COD: 9000096), d: Dolomite (CaMg(CO<sub>3</sub>)<sub>2</sub>-COD: 1200014), q: Quartz (SiO<sub>2</sub>), a: anhydrite (CaSO<sub>4</sub>) (PDF 37-1496), k<sub>1</sub>: Mg(HPO<sub>2</sub>)<sub>2</sub>(H<sub>2</sub>O)<sub>6</sub> (PDF 75-0029), k<sub>2</sub>: Mg<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub>·5H<sub>2</sub>O (PDF 35-0329), k<sub>4</sub>: K<sub>4</sub>P<sub>2</sub>O<sub>7</sub>·3H<sub>2</sub>O (PDF 26-1457), k<sub>7</sub>: Mg<sub>2</sub>P<sub>2</sub>O<sub>7</sub> (PDF 01-0866), k<sub>6</sub>: MgHPO<sub>4</sub>·7H<sub>2</sub>O (phosphorrosslerite) (PDF 46-1267).</p>
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<p>FTIR spectra of MKPC: (<b>a</b>) 28 d, CC; (<b>b</b>) 28 d, LAB; (<b>c</b>) 365 d, CC; (<b>d</b>) 365 d, LAB.</p>
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<p>(<b>a</b>,<b>c</b>) TG and (<b>b</b>,<b>d</b>) DTG curves of samples prepared with M/P ratios of 1 and 3 and cured in the LAB and in the CC after 28 and 365 days.</p>
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<p>(<b>a</b>) <sup>31</sup>P MAS NMR and (<b>b</b>) CP 1H-<sup>31</sup>P of KH<sub>2</sub>PO<sub>4</sub> and MKPC samples prepared with M/P 1 and 3.</p>
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<p>Deconvoluted <sup>31</sup>P spectra of MKPC samples (pink components correspond to K-struvite, blue components correspond to amorphous phases, and the rest are associated with the secondary phosphate phases).</p>
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<p>Total porosity (%) and pore size distribution of MKPC pastes cured in (<b>a</b>) a climatic chamber (99% RH) and (<b>b</b>) a laboratory (52% RH).</p>
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<p>BSEM micrographs and EDX (1, 2 and 3) analysis of the M/P 1 sample after 28 days of curing in the climatic chamber CC (99% RH) at different magnification.</p>
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<p>BSEM micrographs and EDX (4, 5, 6 and 7) analysis of M/P 1 sample after 28 days of curing in the laboratory: (<b>a</b>) 500× magnification; (<b>b</b>) 1000× magnification.</p>
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<p>BSEM micrographs of M/P 3 samples cured in CC at (<b>a</b>) 28 days; (<b>b</b>) EDX mapping at 28 days, (<b>c</b>) 90 days, and (<b>d</b>) 365 days.</p>
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<p>EDX analysis plotted on a ternary diagram (P-Mg-K molar) of MKPC cements prepared with M/P ratios of 1 and 3 (CC and LAB) at 28 days.</p>
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<p>EDX analysis results of the M/P 3 samples cured in the CC after 28, 90, and 365 days.</p>
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<p>Volume changes of MKPC mortars stored in (<b>a</b>) the climatic chamber (21 °C, 99% RH) and (<b>b</b>) the laboratory (21 °C, 52% RH).</p>
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27 pages, 1791 KiB  
Article
The Construction Industry in a War-Ravaged Region: Examination of Challenging Factors
by Oluwasegun Emmanuel, Marta Białko and Vsevolod Nikolaiev
Appl. Sci. 2025, 15(6), 2900; https://doi.org/10.3390/app15062900 - 7 Mar 2025
Abstract
Construction, like any other economic activity, can contribute to national income by creating employment opportunities, and raising gross domestic product (GDP). Several researchers have studied the challenges of various aspects of the construction industry (CI), ranging from sustainability, the industrial revolution, small and [...] Read more.
Construction, like any other economic activity, can contribute to national income by creating employment opportunities, and raising gross domestic product (GDP). Several researchers have studied the challenges of various aspects of the construction industry (CI), ranging from sustainability, the industrial revolution, small and medium enterprise, building information modelling, and intelligent construction, but this research examines the state of the CI in conflict-affected regions by evaluating the challenging factors impacting this sector of the economy. A total of 150 industry experts participated in this survey across three regions (Africa, Eastern Europe, and the Middle East). In total, 35 challenging factors were identified and classified using exploratory factor analysis (EFA). Using version 4 of Smart Partial Least Squares (PLS), structural equation modelling (SEM) was used to build the model, which produced seven constructs: economic, environment and education, government, industrial, sustainability, technology, training and support. 31 challenging factors were outlined under these constructs, with economic challenges such as high inflation, high-interest rates, and foreign direct investment (FDI) being the most critical of those observed. This study will be of great importance to the governments of nations in the formulation of policies for the CI. At the same time, stakeholders in the CI will collaborate in the advancement of the sector in the affected region. Full article
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<p>Major trends shaping the CI’s future [<a href="#B51-applsci-15-02900" class="html-bibr">51</a>].</p>
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<p>Flowchart of research methodology.</p>
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<p>Scree plot.</p>
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<p>Path analysis.</p>
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<p>Path analysis between constructs.</p>
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28 pages, 30346 KiB  
Article
Delta IXI: Deployable Structure with Flax Fibre Pultruded Profiles for Architectural Applications—Case Studies in Furniture and Adaptive Facade Systems
by Indiana Courarie-Delage, Evgenia Spyridonos and Hanaa Dahy
Designs 2025, 9(2), 31; https://doi.org/10.3390/designs9020031 - 7 Mar 2025
Abstract
Material selection is essential for advancing sustainability in construction. Biocomposites contribute significantly to raising the awareness of materials derived from biomass. This paper explores the design development and application of novel natural fibre pultruded biocomposite profiles in a deployable system. Development methods include [...] Read more.
Material selection is essential for advancing sustainability in construction. Biocomposites contribute significantly to raising the awareness of materials derived from biomass. This paper explores the design development and application of novel natural fibre pultruded biocomposite profiles in a deployable system. Development methods include geometrical studies to create a system that transforms from flat to three-dimensional. Physical and digital models were used to refine the geometry, while connection elements were designed to suit material properties and deployability requirements. The first case study, at a furniture scale, demonstrates the use of the profiles connected using threading methods to create a lightweight multifunctional deployable system enabling easy transport and storage. This system can be locked at various heights for different purposes. The realised structure weighs 4 kg, supporting weights up to 150 kg. The second case study applies the system architecturally in an adaptive kinetic facade, adjusting to the sun’s position for optimal shading, providing up to 70% daylight when open and as little as 20% when closed. These two structures validate the developed deployable system, showcasing the versatility of biocomposite profiles in such configurations. This approach enhances sustainability in architecture by enabling lightweight, adaptable, and eco-friendly building solutions. Full article
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<p>Initial design explorations inspired by (<b>a</b>) scissor structures and (<b>b</b>) geodesic domes.</p>
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<p>Delta IXI: 2D deployment positions [<a href="#B12-designs-09-00031" class="html-bibr">12</a>].</p>
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<p>Movement of three separate modules forming the flat base of the structure (12 profiles).</p>
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<p>Small-scale model using the three scissors-like modules.</p>
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<p>Threading Method 1: one loop.</p>
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<p>(<b>a</b>) Prototype lying flat (9 profiles), (<b>b</b>) prototype, fully assembled, with tension cable, (<b>c</b>) joint: connection of 3 profiles with polyester string.</p>
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<p>Threading Method 2: three loops.</p>
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<p>(<b>a</b>) Universal joint: string connection of 3 profiles with three string loops, (<b>b</b>) stable structure using the three-loop method, (<b>c</b>) prototype using tension cable and a wooden seat.</p>
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<p>Seat attachment with slits.</p>
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<p>Attachment points at the corners of the wooden seat.</p>
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<p>Load tests at different attachment points.</p>
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<p>Development diagram for Case Study 1.</p>
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<p>Materials overview: (<b>a</b>) 8 mm elastic rubber rope, (<b>b</b>) 4 mm non-elastic polyester cord, (<b>c</b>) biocomposite pultruded profiles ⌀25 mm, (<b>d</b>) triangular plywood seat for stool, (<b>e</b>) circular tabletop.</p>
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<p>(<b>a</b>) End detail of pultruded profiles and combinations of elastic and non-elastic strings, (<b>b</b>) attachment of the top to the main structure, (<b>c</b>) final stool structure with a timber seat.</p>
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<p>Case Study 1 in different position configurations.</p>
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<p>Grid generation: (<b>a</b>) triangular grid, (<b>b</b>) triangles’ amplitudes, (<b>c</b>) original triangles become redundant, (<b>d</b>) facade modules placed on the grid in two directions.</p>
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<p>Parametric model—main principles.</p>
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<p>Parametrically generated system illustrating the movement of the facade system from an open to a closed configuration. Example featuring a 6 × 3 grid comprising 18 individual facade modules.</p>
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<p>Example of the system applied in a two-storey building; open and closed configuration.</p>
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<p>System and connection points: (C) central gear mechanism connector, (A) sliding connectors, (B) three profiles universal joint, (G) grid connectors.</p>
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<p>Motor-driven mechanism and base fabricated with (<b>a</b>) 3D-printed bio-based filament and (<b>b</b>) CNC-milled plywood.</p>
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<p>Module with motor-driven kinetic mechanism and details: (<b>A</b>) sliding connectors, (<b>B</b>) three profiles universal joint, (<b>C</b>) central gear mechanism connector.</p>
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<p>Delta IXI facade module showcased at the IBA27 festival.</p>
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9 pages, 1458 KiB  
Communication
Research on Cement-Free Grouting Material for Shield Tunneling in Water-Rich Karst Regions
by Zheng Che, Tian-Liang Wang, Zheng-Guo Zhou, Shuo Wang and Xin-Wei Ma
Materials 2025, 18(6), 1192; https://doi.org/10.3390/ma18061192 - 7 Mar 2025
Abstract
With the increasing number of anti-seepage reinforcement projects and the continuous improvement of quality requirements, high-performance and green requirements have also been put forward for grouting materials. Traditional karst cave grouting mainly uses cement-based grouting materials, which not only have high carbon emissions [...] Read more.
With the increasing number of anti-seepage reinforcement projects and the continuous improvement of quality requirements, high-performance and green requirements have also been put forward for grouting materials. Traditional karst cave grouting mainly uses cement-based grouting materials, which not only have high carbon emissions but also do not comply with the sustainable development strategy with regard to being green, low-carbon, and environmentally friendly. A green grouting material made by mixing a slurry A and slurry B is proposed in this paper. The solid phase of slurry A is composed of stone powder and bentonite, for which an anti-washout admixture is necessary. Slurry B is a suspension of thickener (CMC or HPMC) and anhydrous ethanol. By mixing the two slurries evenly, the grouting material is obtained. Experiments were used to investigate the ideal ratios of stone powder, bentonite, and water in slurry A, and the ratio of thickener to anhydrous ethanol in slurry B, and to analyze the development and evolution of the apparent viscosity of slurry A and slurry B after mixing. This study revealed that the optimum ratio of stone powder and bentonite was 4:1, and the most reasonable water–solid ratio was 0.8:1.0. The optimum ratio of anhydrous ethanol to CMC or HPMC in slurry B was 5:1. Slurry B was added to slurry A at a rate of 5~10% to obtain the best grouting material properties. The proposed mixed grouting material would not disperse even in flowing water and could harden and consolidate quickly. The strength of the consolidation grouting body was close to that of wet soil, which can meet requirements for tunnel construction. Full article
(This article belongs to the Topic Advances in Sustainable Materials and Products)
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<p>Schematic diagram of the grout’s formation process.</p>
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<p>Change in apparent viscosity of slurry A with different water–filler ratios.</p>
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<p>Effect of stone powder on apparent viscosity.</p>
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<p>Effect of slurry B on apparent viscosity.</p>
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16 pages, 5538 KiB  
Article
Magnetic Coal Gasification Slag/Graphite Phase Carbon Nitride Composites for Photocatalytic Degradation of Tetracycline
by Yue Yin, Tingan Yao, Guohui Dong and Chuanyi Wang
Processes 2025, 13(3), 770; https://doi.org/10.3390/pr13030770 - 7 Mar 2025
Viewed by 117
Abstract
Graphite-phase carbon nitride (CN) has the advantages of high stability, non-toxicity, and harmlessness in degrading antibiotic pollutants in water. How to achieve the reduction of its electron-hole complexation efficiency as well as the improvement of its recyclability, while at the same time ensuring [...] Read more.
Graphite-phase carbon nitride (CN) has the advantages of high stability, non-toxicity, and harmlessness in degrading antibiotic pollutants in water. How to achieve the reduction of its electron-hole complexation efficiency as well as the improvement of its recyclability, while at the same time ensuring these advantages, is the focus of this paper. In this study, modified magnetic particles selected from coal gasification slag were used as carriers, which were compounded with CN and then subjected to a simple roasting process to obtain composite magnetic photocatalysts (MCN) with different ratios. The introduction of porous magnetic carriers increased the specific surface area of MCN, provided more active sites, and effectively improved the migration ability and redox capacity of CN carriers. Among them, 50% MCN showed excellent photodegradation performance, and the removal rate of tetracycline reached 82% within 60 min, which was much higher than that of CN. 50% MCN has a saturated magnetisation intensity of 1.55 emu·g−1, which can be regenerated after recycling using a magnetic field, and the degradation efficiency of tetracycline is still more than 70% after five cycles, indicating that 50% MCN has good stability. This work demonstrates that magnetic gasification slag as a modified carrier can effectively promote the separation of photogenerated electron-hole pairs of graphite-phase carbon nitride, which provides a reference for the resourceful utilisation of coal gasification slag, as well as for the construction of g-C3N4-based photocatalysts with highly efficient and stable photodegradation activity. This work exemplifies how waste-derived materials can advance photocatalyst design, addressing both efficiency and sustainability challenges in water treatment. Full article
(This article belongs to the Section Environmental and Green Processes)
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<p>Preparation process diagram of MCN.</p>
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<p>(<b>a</b>) Appearance of the five samples; X-ray diffraction spectra of (<b>b</b>) Coal gasification residue and (<b>c</b>) MAGM.</p>
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<p>(<b>a</b>) X-ray diffraction spectra of magnetic composite photocatalytic materials; (<b>b</b>) FT-IR spectroscopy of magnetic composite photocatalytic materials; (<b>c</b>) Hysteresis loops for MAGM and 50% MCN; (<b>d</b>) Schematic diagram of CN and MAGM composite process.</p>
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<p>CN, MAGM and 50% MCN thermogravimetric (<b>a</b>) and DTG (<b>b</b>); N<sub>2</sub> adsorption-desorption curve (<b>c</b>) and pore distribution (<b>d</b>) of magnetic composite photocatalytic materials.</p>
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<p>Scanning electron micrographs of magnetic composite photocatalytic materials: (<b>a</b>,<b>d</b>) CN; (<b>b</b>,<b>e</b>) MAGM; (<b>c</b>,<b>f</b>) 50% MCN.</p>
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<p>(<b>a</b>) Dark adsorption of TC by the magnetic composite photocatalytic material; (<b>b</b>) Degradation of TC under light irradiation; (<b>c</b>) Standard curve of TC; (<b>d</b>) First-order kinetic fitting of the photocatalytic degradation.</p>
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<p>(<b>a</b>) UV-Vis Diffuse Reflectance Spectroscopy (DRS); (<b>b</b>) Bandgaps of different samples; (<b>c</b>) Photoluminescence (PL) spectrogram of MAGM; (<b>d</b>) Photoluminescence spectrograms of CN and x MAGM.</p>
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<p>(<b>a</b>) Transient photocurrent responses of CN, 10% MCN, 50% MCN, and 90% MCN; (<b>b</b>) Transient photocurrent response of MAGM; (<b>c</b>) Impedance fitting spectra of CN, MAGM, 10% MCN, 50% MCN, and 90% MCN; (<b>d</b>) Impedance fitting spectra of 50% MCN under light and dark conditions.</p>
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<p>Free Radical Trapping Experiment for TC Degradation by 50% MCN.</p>
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<p>50% MCN cycle five times degradation of TC: (<b>a</b>) dark reaction; (<b>b</b>) illumination; (<b>c</b>) XRD before and after cycling; (<b>d</b>) pre- and post-cycle infrared spectroscopy; (<b>e</b>) Magnetic recovery process after 5 cycles of TC degradation (Recovery time &lt; 30 s).</p>
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30 pages, 1498 KiB  
Article
Can Sci-Tech Finance Policy Boost Corporate ESG Performance? Evidence from the Pilot Experiment of Promoting the Integration of Technology and Finance in China
by Wenjuan Su, Jiyu Yu and Lingyun Zhao
Sustainability 2025, 17(6), 2332; https://doi.org/10.3390/su17062332 - 7 Mar 2025
Viewed by 208
Abstract
Based on the quasi-natural experiment of “the pilot policy of combining science and technology with finance” (Sci-Tech Finance pilot policy) carried out in China in recent years, this paper constructs a multi-stage difference-in-differences model to explore its impact on corporate ESG performance and [...] Read more.
Based on the quasi-natural experiment of “the pilot policy of combining science and technology with finance” (Sci-Tech Finance pilot policy) carried out in China in recent years, this paper constructs a multi-stage difference-in-differences model to explore its impact on corporate ESG performance and the influence mechanisms. The main research findings of this paper are as follows: (1) The Sci-Tech Finance pilot policy significantly enhances corporate ESG performance, a finding that remains consistent after conducting parallel trends testing, propensity score matching, and placebo tests. (2) The policy promotes the corporate ESG performance through three intermediary channels, namely alleviating financial constraints, improving total factor productivity, and enhancing green technology innovation. Notably, the first two intermediary channels exhibit the most prominent effects. (3) The impact of the pilot policy on the corporate ESG performance exhibits heterogeneity at both the regional and corporate levels; it demonstrates a more pronounced impact on corporates located in the Eastern Region, within high digital economic zones, and among high-tech, capital-intensive, heavily polluting, and state-owned corporates. (4) The policy has apparent spatial spillover effects on corporate ESG performance, accounting for about 8% of the direct effect in the pilot areas. This study enriches the literature on the impacts of Sci-Tech Finance on corporate behaviors, providing insights for government regulatory authorities to leverage Sci-Tech Finance policies to promote corporate ESG performance and sustainable development. Full article
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<p>Research framework of the study.</p>
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<p>The theoretical mechanism diagram of the study.</p>
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<p>Parallel trend test. Note: The area under each line segment in the graph represents the 90% confidence interval.</p>
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<p>Density function values of propensity scores before and after matching.</p>
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<p>Placebo test. Note: The blue line is the kernel density estimation curve, the orange line is the beta coefficient estimate, and the green dotted line is the true beta coefficient value.</p>
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22 pages, 3823 KiB  
Article
Evaluation of Life Cycle Cost of Excavation and Trenchless Cured-in-Place Pipeline Technologies for Sustainable Wastewater Applications
by Gayatri Thakre, Vinayak Kaushal, Eesha Karkhanis and Mohammad Najafi
Sustainability 2025, 17(5), 2329; https://doi.org/10.3390/su17052329 - 6 Mar 2025
Viewed by 150
Abstract
Sanitary sewer pipelines frequently experience blockages, structural failures, and overflows, underscoring the dire state of U.S. wastewater infrastructure, which has been rated a D-, while America’s overall infrastructure scores only slightly better at C-. Traditional open-trench excavation methods or excavation technology (ET) for [...] Read more.
Sanitary sewer pipelines frequently experience blockages, structural failures, and overflows, underscoring the dire state of U.S. wastewater infrastructure, which has been rated a D-, while America’s overall infrastructure scores only slightly better at C-. Traditional open-trench excavation methods or excavation technology (ET) for replacing deteriorated pipes are notoriously expensive and disruptive, requiring extensive processes like route planning, surveying, engineering, trench excavation, pipe installation, backfilling, and ground restoration. In contrast, trenchless technologies (TT) provide a less invasive and more cost-effective alternative. Among these, cured-in-place pipe technology (CIPPT), which involves inserting resin-impregnated fabric into damaged pipelines, is widely recognized for its efficiency. However, a comprehensive life cycle cost analysis (LCCA) directly comparing ET and TT, accounting for the net present value (NPV) across installation, maintenance, and rehabilitation costs, remains unexplored. This study aims to establish an LCCA framework for both CIPPT and ET, specifically for sanitary sewer pipes ranging from 8 to 42 inches in diameter. The framework incorporates construction, environmental, and social costs, providing a holistic evaluation. The key costs for ET involve pipe materials and subsurface investigations, whereas TT’s costs center around engineering and design. Social impacts, such as road and pavement damage, disruption to adjacent utilities, and noise, are pivotal, alongside environmental factors like material use, transportation, project duration, and equipment emissions. This comprehensive framework empowers decision makers to holistically assess economic and environmental impacts, enabling informed choices for sustainable sewer infrastructure renewal. Full article
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<p>CIPPT installation process [<a href="#B10-sustainability-17-02329" class="html-bibr">10</a>].</p>
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<p>Scatter plot of cost versus pipe diameter for open-cut and CIPPT.</p>
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<p>Mean construction cost comparison.</p>
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<p>Mean construction cost comparison—Regression analysis.</p>
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<p>Social cost categories (adapted from [<a href="#B51-sustainability-17-02329" class="html-bibr">51</a>,<a href="#B52-sustainability-17-02329" class="html-bibr">52</a>,<a href="#B53-sustainability-17-02329" class="html-bibr">53</a>,<a href="#B54-sustainability-17-02329" class="html-bibr">54</a>]).</p>
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<p>Total cost categories (adapted from [<a href="#B8-sustainability-17-02329" class="html-bibr">8</a>]).</p>
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<p>Life cycle cost evaluation flowchart.</p>
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29 pages, 17777 KiB  
Article
Informal Settlements Extraction and Fuzzy Comprehensive Evaluation of Habitat Environment Quality Based on Multi-Source Data
by Zanxian Yang, Fei Yang, Yuanjing Xiang, Haiyi Yang, Chunnuan Deng, Liang Hong and Zhongchang Sun
Land 2025, 14(3), 556; https://doi.org/10.3390/land14030556 - 6 Mar 2025
Viewed by 59
Abstract
The United Nations Sustainable Development Goal (SDG) 11.1 emphasizes improving well-being, ensuring housing security, and promoting social equity. Informal settlements, one of the most vulnerable groups, require significant attention due to their dynamic changes and habitat quality. These areas limit the ability to [...] Read more.
The United Nations Sustainable Development Goal (SDG) 11.1 emphasizes improving well-being, ensuring housing security, and promoting social equity. Informal settlements, one of the most vulnerable groups, require significant attention due to their dynamic changes and habitat quality. These areas limit the ability to comprehensively capture spatial heterogeneity and dynamic shifts in regional sustainable development. This study proposes an integrated approach using multi-source remote sensing data to extract the spatial distribution of informal settlements in Mumbai and assess their habitat environment quality. Specifically, seasonal spectral indices and texture features were constructed using Sentinel and SAR data, combined with the mean decrease impurity (MDI) indicator and hierarchical clustering to optimize feature selection, ultimately using a random forest (RF) model to extract the spatial distribution of informal settlements in Mumbai. Additionally, an innovative habitat environment index was developed through a Gaussian fuzzy evaluation model based on entropy weighting, providing a more robust assessment of habitat quality for informal settlements. The study demonstrates that: (1) texture features from the gray level co-occurrence matrix (GLCM) significantly improved the classification of informal settlements, with the random forest classification model achieving a kappa coefficient above 0.77, an overall accuracy exceeding 0.89, and F1 scores above 0.90; (2) informal settlements exhibited two primary development patterns: gradual expansion near formal residential areas and dependence on natural resources such as farmland, forests, and water bodies; (3) economic vitality emerged as a critical factor in improving the living environment, while social, natural, and residential conditions remained relatively stable; (4) the proportion of highly suitable and moderately suitable areas increased from 65.62% to 65.92%, although the overall improvement in informal settlements remained slow. This study highlights the novel integration of multi-source remote sensing data with machine learning for precise spatial extraction and comprehensive habitat quality assessment, providing valuable insights into urban planning and sustainable development strategies. Full article
22 pages, 2487 KiB  
Article
Sustainable Supply Chains for Poverty Alleviation: Considering Branding and Nash Bargaining Fairness Concerns
by Yuting Yan, Wenjie Bi, Mengzhuo Wang and Bing Wang
Systems 2025, 13(3), 182; https://doi.org/10.3390/systems13030182 - 6 Mar 2025
Viewed by 63
Abstract
With economic development and shifting consumption trends, branding has become an important way to improve the efficiency of poverty alleviation supply chains (PASCs) in practice. However, academic research on this topic is limited. To fill this gap in the literature, we constructed a [...] Read more.
With economic development and shifting consumption trends, branding has become an important way to improve the efficiency of poverty alleviation supply chains (PASCs) in practice. However, academic research on this topic is limited. To fill this gap in the literature, we constructed a differential game of a PASC that examines how to build a sustainable poverty reduction model through branding, considering government subsidies and supplier’s Nash bargaining fairness concerns. Our findings show the following: (1) Government subsidies can improve the decision-making level and channel efficiency of leading enterprises (E) and poor suppliers (F). Government subsidies are necessary for a PASC to establish a sustainable poverty alleviation mechanism. (2) F’s Nash bargaining fairness concerns only reduce their level of production effort but do not affect the brand construction and corporate social responsibility levels of E. (3) As F’s bargaining power increases, Nash bargaining fairness concerns have a more significant effect on the PASC’s performance. While F’s fairness concerns can enhance their utility to some extent, it ultimately leads to more significant profit losses for both parties. (4) The proposed mixed cost-sharing and revenue-sharing contract can effectively align members’ incentives, enhancing profitability for both parties. Full article
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<p>Structure of the PASC under government subsidies.</p>
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<p>Profit values of F and E before coordination (purple) and after coordination (blue).</p>
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<p>The left subfigure shows utility values of F before coordination (blue) and after coordination (purple). Profit loss of F due to high fairness concerns shows in green area.</p>
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<p>The relationship between <math display="inline"><semantics> <mi>M</mi> </semantics></math>, <math display="inline"><semantics> <mi>N</mi> </semantics></math>, and <math display="inline"><semantics> <mi>φ</mi> </semantics></math>.</p>
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<p>The relationship between <math display="inline"><semantics> <mrow> <msub> <mi>π</mi> <mi>e</mi> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mi>φ</mi> </semantics></math>.</p>
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<p>The relationship between <math display="inline"><semantics> <mrow> <msub> <mi>ε</mi> <mn>1</mn> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>ε</mi> <mn>2</mn> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mi>φ</mi> </semantics></math>.</p>
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17 pages, 28408 KiB  
Article
Immobilization of Enzymes on Electrodes and Electrode Design in Biofuel Cells
by Chang Yen Chen, Adama A. Bojang, Damayanti Damayanti and Ho Shing Wu
Catalysts 2025, 15(3), 253; https://doi.org/10.3390/catal15030253 - 6 Mar 2025
Viewed by 73
Abstract
In an enzyme-based fuel cell system, glucose oxidase and laccase were immobilized on carbon paper as the anode and cathode electrodes. A conductive polymer (polypyrrole) was added to improve conductivity. The mediator and enzymes were mixed in a phosphate-buffer solution for entrapment. A [...] Read more.
In an enzyme-based fuel cell system, glucose oxidase and laccase were immobilized on carbon paper as the anode and cathode electrodes. A conductive polymer (polypyrrole) was added to improve conductivity. The mediator and enzymes were mixed in a phosphate-buffer solution for entrapment. A Nafion 212 membrane separated the two half-cells. Power density measurements were taken at a glucose concentration of 10 mM across different operating voltages. Potassium hexacyanoferrate III was used as a redox mediator in the anode and 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) in the cathode to boost power output. The biofuel cells, constructed from acrylic (40 × 50 × 50 mm) with a working volume of 20 × 30 × 40 mm, were assembled using a rubber gasket to secure the Nafion membrane. The use of micropore tape covering the electrodes extended the system’s operational lifespan. Without the micropore tape, the maximum power density was 57.6 μW/cm2 at 0.24 V. With the micropore tape, the cell achieved a maximum power density of 324.9 μW/cm2 at 0.57 V, sustaining performance for 20 days. Thus, micropore tape effectively enhances enzyme retention and biofuel cell performance. Full article
(This article belongs to the Special Issue Enzyme and Biocatalysis Application)
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<p>CV diagrams using different polymers: (<b>a</b>) PPy and (<b>b</b>) PANI for different pH levels. (<span class="html-fig-inline" id="catalysts-15-00253-i001"><img alt="Catalysts 15 00253 i001" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i001.png"/></span>: pH5<span class="html-fig-inline" id="catalysts-15-00253-i002"><img alt="Catalysts 15 00253 i002" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i002.png"/></span>: pH 6<span class="html-fig-inline" id="catalysts-15-00253-i003"><img alt="Catalysts 15 00253 i003" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i003.png"/></span>: pH 7), immersed for 0 h in a glucose and PBS solution; (<span class="html-fig-inline" id="catalysts-15-00253-i004"><img alt="Catalysts 15 00253 i004" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i004.png"/></span>: pH 5<span class="html-fig-inline" id="catalysts-15-00253-i005"><img alt="Catalysts 15 00253 i005" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i005.png"/></span>: pH 6<span class="html-fig-inline" id="catalysts-15-00253-i006"><img alt="Catalysts 15 00253 i006" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i006.png"/></span>: pH 7), immersed for 1 h in a glucose and PBS solution.</p>
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<p>Comparison of CV between the PPy and PANI electrodes. PPy (mM) = (<span class="html-fig-inline" id="catalysts-15-00253-i007"><img alt="Catalysts 15 00253 i007" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i007.png"/></span>: 0.1, <span class="html-fig-inline" id="catalysts-15-00253-i008"><img alt="Catalysts 15 00253 i008" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i008.png"/></span>: 0.2, <span class="html-fig-inline" id="catalysts-15-00253-i009"><img alt="Catalysts 15 00253 i009" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i009.png"/></span>: 0.3, <span class="html-fig-inline" id="catalysts-15-00253-i010"><img alt="Catalysts 15 00253 i010" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i010.png"/></span>: 0.4); PANI (mM) = (<span class="html-fig-inline" id="catalysts-15-00253-i011"><img alt="Catalysts 15 00253 i011" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i011.png"/></span>: 0.1, <span class="html-fig-inline" id="catalysts-15-00253-i012"><img alt="Catalysts 15 00253 i012" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i012.png"/></span>: 0.2, <span class="html-fig-inline" id="catalysts-15-00253-i013"><img alt="Catalysts 15 00253 i013" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i013.png"/></span>: 0.3, <span class="html-fig-inline" id="catalysts-15-00253-i014"><img alt="Catalysts 15 00253 i014" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i014.png"/></span>: 0.4); blank (mM) = <span class="html-fig-inline" id="catalysts-15-00253-i015"><img alt="Catalysts 15 00253 i015" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i015.png"/></span>: 0, GOx (5 U/10 μL), Fe(CN)<sub>6</sub><sup>3−</sup>(10 mM), pH = 7.</p>
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<p>Comparison of the CV of anode A1 to A9 electrodes. <span class="html-fig-inline" id="catalysts-15-00253-i016"><img alt="Catalysts 15 00253 i016" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i016.png"/></span>A1, <span class="html-fig-inline" id="catalysts-15-00253-i017"><img alt="Catalysts 15 00253 i017" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i017.png"/></span>A2, <span class="html-fig-inline" id="catalysts-15-00253-i018"><img alt="Catalysts 15 00253 i018" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i018.png"/></span>A3, <span class="html-fig-inline" id="catalysts-15-00253-i019"><img alt="Catalysts 15 00253 i019" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i019.png"/></span>A4, <span class="html-fig-inline" id="catalysts-15-00253-i020"><img alt="Catalysts 15 00253 i020" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i020.png"/></span>A5, <span class="html-fig-inline" id="catalysts-15-00253-i021"><img alt="Catalysts 15 00253 i021" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i021.png"/></span>A6, <span class="html-fig-inline" id="catalysts-15-00253-i022"><img alt="Catalysts 15 00253 i022" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i022.png"/></span>A7, <span class="html-fig-inline" id="catalysts-15-00253-i023"><img alt="Catalysts 15 00253 i023" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i023.png"/></span>A8, <span class="html-fig-inline" id="catalysts-15-00253-i024"><img alt="Catalysts 15 00253 i024" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i024.png"/></span>A9.</p>
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<p>Plot of potential against time in biofuel cells for different anode (<span class="html-fig-inline" id="catalysts-15-00253-i025"><img alt="Catalysts 15 00253 i025" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i025.png"/></span>A1, <span class="html-fig-inline" id="catalysts-15-00253-i026"><img alt="Catalysts 15 00253 i026" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i026.png"/></span> A2, <span class="html-fig-inline" id="catalysts-15-00253-i027"><img alt="Catalysts 15 00253 i027" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i027.png"/></span> A3, <span class="html-fig-inline" id="catalysts-15-00253-i028"><img alt="Catalysts 15 00253 i028" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i028.png"/></span> A4, <span class="html-fig-inline" id="catalysts-15-00253-i029"><img alt="Catalysts 15 00253 i029" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i029.png"/></span>A5, <span class="html-fig-inline" id="catalysts-15-00253-i030"><img alt="Catalysts 15 00253 i030" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i030.png"/></span>A6, <span class="html-fig-inline" id="catalysts-15-00253-i031"><img alt="Catalysts 15 00253 i031" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i031.png"/></span>A7, <span class="html-fig-inline" id="catalysts-15-00253-i032"><img alt="Catalysts 15 00253 i032" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i032.png"/></span>A8, <span class="html-fig-inline" id="catalysts-15-00253-i033"><img alt="Catalysts 15 00253 i033" src="/catalysts/catalysts-15-00253/article_deploy/html/images/catalysts-15-00253-i033.png"/></span>A9) and cathode electrodes (subfigure number).</p>
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<p>The potential of enzymatic fuel cells for Cp and CPM3 electrodes vs. time on stream. Enzyme concentration = 5 U/10 μL, conductive polymer concentration conditions = 1.5 mM, mediator concentration = 10 mM, buffer solution pH = 5. Anode: PBS as buffer solution (containing a glucose concentration of 10 mM); cathode: ultrapure water. On the third day, the buffer solution (anode side) and ultrapure water (cathode side) were replaced. The electrodes were not immersed in the solution before assembly.</p>
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<p>Potential and power density of the enzymatic electrode vs. time on stream. Enzyme concentration = 5 U/10 μL, conductive polymer concentration = 1.5 mM, mediator concentration = 10 mM, buffer solution pH = 5. Anode: PBS as buffer solution (containing a glucose concentration of 10 mM); cathode: ultrapure water. Black line: CP electrode, red line: CP3M electrode. The anode electrode was immersed in a PBS solution with 10 mM glucose, while the cathode electrode was soaked in ultrapure water for two days before assembly.</p>
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<p>Electrode construction for (<b>a</b>) the CP electrode and (<b>b</b>) the CP3M electrode.</p>
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<p>(<b>a</b>) Electrode reaction in the anode and cathode, (<b>b</b>) electron transfer in the conductive polymer and mediator, (<b>c</b>) structure, and (<b>d</b>) geometry of the enzyme-based biofuel cells.</p>
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