Search Results (20,834)

Indoor air quality plays a crucial role in human health and well-being, with relative humidity (RH) being a key factor influencing respiratory health, indoor comfort, and the interior lifespan of buildings. Poor RH control can exacerbate indoor air pollution, leading to adverse health effects and increased risks of microbial growth. This study created a predictive approach to indoor RH management by developing an intelligent electronic system that proactively regulates a humidifier and dehumidifier to maintain optimal humidity levels. The system integrates a forecasting algorithm based on the ARIMA model, enabling short-term RH predictions and dynamic adjustments before extreme conditions occur. The ARIMA model was selected for its robustness in time-series forecasting, ensuring precise predictions and improved indoor climate regulation. The results demonstrate that this predictive control strategy significantly reduces fluctuations in RH, preventing the effects of indoor air pollution associated with humidity extremes while enhancing energy efficiency. Additionally, the iterative validation process confirms the model’s reliability and adaptability to changing environmental conditions. This study suggests the importance of predictive RH control in mitigating the threat of poor indoor air quality, improving indoor comfort, and promoting energy-efficient and sustainable living environments. Full article

Creating Shared Value (CSV), a contemporary management strategy aimed at generating both economic and social value, has gained increasing attention in the context of sustainable regional development. This study examines the implementation of CSV within local industrial clusters, specifically investigating the influence of institutional and geographic proximity on the sustainability of small and medium-sized enterprises (SMEs). Utilizing surveys conducted across 11 industrial clusters in Japan and employing structural equation modeling, the impact of proximity on CSV initiatives was explored. The findings reveal that firms within these clusters enhance their sustainability by fostering iterative knowledge transfer and technological collaboration, particularly with geographically and institutionally proximate organizations. Moreover, the study highlights that a clear understanding and alignment of sustainability-oriented goals within institutional proximity strengthen the synergy of management resources through alliance capabilities, ultimately leading to the simultaneous creation of social and economic value. This research underscores the critical role of proximity in shaping effective and sustainable CSV initiatives within local industrial clusters, providing valuable insights for policymakers, industry stakeholders, and researchers aiming to promote regional sustainability and resilience. Full article

Urban heat island (UHI) effects pose significant challenges to sustainable urban development, necessitating innovative modeling techniques to optimize urban morphology for thermal resilience. This study integrates the Pix2Pix and CycleGAN architectures to generate high-fidelity urban morphology models aligned with local climate zones (LCZs), enhancing their applicability to urban climate studies. This research focuses on eight major Chinese coastal cities, leveraging a robust dataset of 4712 samples to train the generative models. Quantitative evaluations demonstrated that the integration of CycleGAN with Pix2Pix substantially improved structural fidelity and realism in urban morphology synthesis, achieving a peak Structural Similarity Index Measure (SSIM) of 0.918 and a coefficient of determination (R²) of 0.987. The total adversarial loss in Pix2Pix training stabilized at 0.19 after 811 iterations, ensuring high convergence in urban structure generation. Additionally, CycleGAN-enhanced outputs exhibited a 35% reduction in relative error compared to Pix2Pix-generated images, significantly improving edge preservation and urban feature accuracy. By incorporating LCZ data, the proposed framework successfully bridges urban morphology modeling with climate-responsive urban planning, enabling adaptive design strategies for mitigating UHI effects. This study integrates Pix2Pix and CycleGAN architectures to enhance the realism and structural fidelity of urban morphology generation, while incorporating the LCZ classification framework to produce urban forms that align with specific climatological conditions. Compared to the model trained by Pix2Pix coupled with LCZ alone, the approach offers urban planners a more precise tool for designing climate-responsive cities, optimizing urban layouts to mitigate heat island effects, improve energy efficiency, and enhance resilience. Full article

In this study, to enhance the system reliability under false data injection (FDI) attacks and DC-link voltage (DCLV) sensor failures, a hybrid control strategy for a DC microgrid (DCMG) based on the Lagrange extrapolation and voltage observer is proposed. Under normal conditions without FDI attacks or DCLV sensor failures, the DCMG system works in a distributed control scheme. To enhance the reliability of the system under the DCLV sensor failure or FDI attack, the DCMG system utilizes a hybrid control strategy that combines distributed control with decentralized control. The hybrid control strategy is achieved by the proposed detection algorithms for FDI attacks and DCLV sensor failures. The detection of FDI attacks is accomplished by comparing the predicted secondary controller output based on the Lagrange extrapolation with the actual one. When a power agent detects an FDI attack, its control mode is switched to decentralized control by using the proposed hybrid control strategy. The DCLV sensor failure detection algorithm to enhance system reliability against DCLV sensor failures is achieved by comparing the estimated DCLV with the measured one from the voltage observer. Upon detecting a DCLV sensor failure, the operation of the power agent is switched to the current control mode to sustain the system operation even under DCLV sensor failures. The proposed detection algorithms are simple, effective, and precise, operating without mutual interference that deteriorates the detection accuracy. Simulation and experiments are carried out under various uncertain test conditions to validate the reliability and effectiveness of the proposed control strategy. Full article

In this research, species distribution prediction models (i.e., MaxEnt) were applied to analyze the suitability of the ecological environment among the clades of the genus Gynoxys in Peru. Bioclimatic, edaphic, and topographic variables were integrated to predict the areas with the most significant potential for optimal development of this genus. These data were combined to generate potential distribution maps, taking into account the most relevant variables for each clade. The validation of the MaxEnt model showed an outstanding performance, reaching AUC indices above 0.9, reflecting the high accuracy of the predictions. The results reveal that the key variables influencing the selection of the clade occurrence areas are: mintempwarmest (47.70% contribution) in the Discoide clade, topowet (33.20%) in the Gynoxys clade, and monthcountbytemp10 (33.30%) in the Praegynoxys clade. The potential distribution areas of these clades were 132,594 km² for Discoide, 168,574 km² for Gynoxys, and 37,392 km² for Praegynoxys. The areas with the highest probability of presence of the genus were found in the Andean regions of northern and central Peru. However, a significant proportion of these areas were threatened by habitat fragmentation and land degradation. In terms of conservation, it was found that 32.05, 35.46, and 61.02% of the potential distribution areas of the discoid, Gynoxys, and Praegynoxys clades, respectively, are conserved, which could be a relevant factor for the preservation of this genus. These findings underscore the relevance of safeguarding key areas for conserving Gynoxys and montane ecosystems in Peru, emphasizing the need for protection strategies that guarantee the long-term sustainability of these species and their associated habitats. Full article

The European biofuel and bioenergy industry faces increasing challenges in achieving sustainable energy production while meeting carbon neutrality targets. This study provides a detailed analysis of biogenic emissions from biofuel and bioenergy production, with a focus on key sectors such as biogas, biomethane, bioethanol, syngas, biomass combustion, and biomass pyrolysis. Over 18,000 facilities were examined, including their feedstocks, production processes, and associated greenhouse gas emissions. The results highlight forestry residues as the predominant feedstock and expose significant disparities in infrastructure and technology adoption across EU Member States. While countries like Sweden and Germany lead in emissions management and carbon capture through bioenergy production with carbon capture and storage systems (BECCS), other regions face deficiencies in bioenergy infrastructure. The findings underscore the potential of BECCS and similar carbon management technologies to achieve negative emissions and support the European Green Deal’s climate neutrality goals. This work serves as a resource for policymakers, industry leaders, and researchers, fostering informed strategies for the sustainable advancement of the biofuels sector. Full article

Globally, salt stress is one of the most significant abiotic stresses limiting crop production in dry-land regions. Nowadays, growing crops in dry-land regions under saline irrigation is the main focus. Soil amendment with organic materials has shown the potential to mitigate the adverse effects of salinity on plants. This study aimed to examine the ameliorative impact of soil amendment (manure + sandy, compost + sandy, clay + sandy and sandy soil) on the growth, yield, physiological, and biochemical attributes of Hedysarum scoparium Fisch. et Mey (HS) and Avena sativa L. (OT) under fresh and saline water irrigation in dry-land regions. The results showed that salt stress negatively affected both plant species’ growth, physiological traits, yield, and chloride ions. In response to saline irrigation, plants of both species increased catalase (CAT) and ascorbate peroxidase (APX) activities as part of a self-defense mechanism to minimize damage. Salt stress also significantly raised levels of hydrogen peroxide (H₂O₂), malondialdehyde (MDA), and chloride ions (Cl). However, soil amendment treatments like manure + sandy and compost + sandy soil countered the negative effects of saline irrigation, significantly improving plant growth and yield compared with sandy soil. Thus, organic soil amendment is a promising strategy for sustainable crop production under saline irrigation in dry-land regions. This study provides valuable insights into enhancing agricultural production by fostering resilient halophytes and salt-tolerant plant species in challenging environments. Full article

Despite the lack of legal tools to interfere in the forest policy of the member states, the European Union has initiated the New EU Forest Strategy 2030 (NFS), which emphasizes the protective functions of forests, modifying the interpretation of sustainable forest management. The aim of the study was to compare the State Forest Policy (SFP) in Poland with the assumptions of the New UE Forest Strategy 2030, identifying challenges for Polish forestry. The compliance of both documents was verified, taking into account their objectives, implementation methods, and differences. The analysis showed the coherence of the direction of both policies, while the differences in the methods of achieving the objectives result from divergent interpretations of the concept of sustainable forest management. It is necessary to develop a new definition taking into account the conditions of EU countries and to develop a system of measures enabling the comparison of the degree of implementation of this goal. Previous EU strategies had minimal impact on national legal systems. Diverse concepts of forest management in EU countries make it difficult to implement a common long-term strategy, giving subsequent documents a general character. NFS is a theoretical document presenting a vision of forests from the perspective of EU policy, and SFP serves as a historical document that can be a reference point for modifying assumptions based on contemporary realities. Creating normative acts without taking into account contemporary conditions may be contrary to the direction of development of forestry in Europe. A bottom-up approach, based on consensus of member states, to creating a coherent forest policy at the EU level is more justified. Full article

The high-quality development of specialized, refined, distinctive, and innovative enterprises (SRDIEs) is essential for advancing an innovation-driven strategy. This paper investigates the impact of financial technology (Fintech) on sustainable innovation within SRDIEs that face financing challenges, analyzing it from supply-side, demand-side, and environmental perspectives. We utilize fuzzy-set Qualitative Comparative Analysis (fSQCA) and Necessary Condition Analysis (NCA) to explore the configurational paths and complex causal effects of Fintech in facilitating the innovation of SRDIEs amid financing challenges. By employing a combination of NCA and fsQCA, this study identifies several effective pathways through which Fintech enhances the innovation efficiency of SRDIEs. We develop an integrative model to enhance innovation inputs, outputs, and sustainability. The key findings include the following: (1) Fintech significantly enhances innovation output, supported by business efficiency and digital intelligence; (2) two distinct pathways for achieving high-innovation inputs are identified, driven by Fintech intensity and effective credit allocation, with specialization and financial mismatches serving as auxiliary factors; (3) the core conditions of Fintech intensity and the financing environment, along with competitive banking, promote innovation motivation and sustainability in highly specialized enterprises. The conclusions of this study provide both theoretical and practical insights for SRDIEs to tackle innovation challenges characterized by an “inability to innovate”, a “lack of willingness to innovate”, and “ineffectiveness in innovation”, enabling their transition from merely being “able to innovate” and “daring to innovate” to becoming “proficient in sustainable innovation”. These findings offer differentiated sustainable innovation solutions for enterprises through three avenues: capacity building on the demand side, channel optimization on the supply side, and ecological cultivation on the environmental side. Full article

In the context of climate change, the increasing urgency to mitigate environmental impacts has driven firms to adopt green supply chain strategies. Existing research primarily focuses on either carbon tax or emission trading schemes, leaving a gap in understanding the combined impact of hybrid carbon policies. This study addresses this gap by developing a dual-tier supply chain model with a manufacturer and retailer, exploring the effects of a carbon tax, emission trading, and a hybrid policy on emission reduction strategies and pricing decisions. Using a reverse inductive method within a Stackelberg game framework, we identify optimal strategies for emission reduction and profit maximization under each policy scenario. Results indicate that the hybrid policy achieves the lowest unit carbon emissions when the manufacturer’s initial pollution level is below a critical threshold. This research contributes to the literature by providing actionable insights into the strategic advantages of hybrid carbon policies for firms seeking both profitability and sustainability in green supply chains. Full article

Metal phenolic networks (MPNs) have attracted significant attention due to their environmentally benign nature, broad compatibility, and universal adhesive properties, making them highly effective for modifying adsorbent surfaces. These supramolecular complexes are formed through the coordination of metal ions with natural phenolic ligands, resulting in stable structures while retaining the active adsorption sites of the ligands, thereby enhancing the adsorption performance of unmodified substrates. Among various MPNs, metal ion gallic acid (GA) networks are particularly well-known for their exceptional stability, biological activity, and superior adsorption ability. This review offers a comprehensive examination of GA-based MPN adsorbents, focusing on their formation chemistry, characterization techniques, and applications. The coordination chemistry underlying the stability of GA–metal complexes is analyzed through equilibrium studies, which are critical for understanding the robustness of MPNs. The main analytical methods for assessing metal ligand interactions are discussed, along with additional characterization techniques for evaluating adsorbent properties. This review also explores various synthesis and performance enhancement strategies for GA-based MPN adsorbents, including stand-alone MPNs, MPN-mediated mesoporous materials, MPN-MOF composites, and MPN-coated substrates. By consolidating current advancements in MPN-based adsorbents and offering fundamental insights into their chemistry and characterization, this review serves as a valuable resource for researchers seeking to develop stable, functional metal-organic materials. It aims to drive innovation in sustainable and efficient adsorbent technologies for diverse environmental and industrial applications. Full article

Small-scale, dispersed agroforestry spaces in the urban fringe constitute ecological land that serves dual public benefit functions: natural ecological conservation and rural-urban services. The purpose of this study is to construct a green infrastructure network by integrating the existing and potential green spaces in an urban fringe. The urban fringe in Zhengzhou was chosen as the study site. First, the urban fringe of Zhengzhou was identified based on multi-source data and artificial intelligence, followed by the extraction of green infrastructure elements through morphological spatial pattern analysis. Then, a public benefit output evaluation system was constructed to assess the land value of green infrastructure in the study area. Finally, based on the evaluation results, a classified network planning was conducted, and a triple-network integrated planning strategy was proposed. The results showed that (1) the administrative area of Zhengzhou is divided into three spatial types: urban core areas, the urban fringe areas, and urban periphery area; this study focuses on the urban fringe surrounding the main urban area of Zhengzhou, area of 678.93 km²; (2) the patch sizes of green infrastructure land in the study area range from approximately 0.01 km² to 2.83 km²; (3) green infrastructure land was classified into levels 1~5 based on ecological conservation and rural-urban services, and comprehensive high-grade land was identified for the construction of the green infrastructure network; and (4) the green infrastructure network in the study area was divided into the forest natural habitat network, the blue-green infrastructure network, and the agroforestry landscape recreation network, and a triple-network integrated green infrastructure network strategy was developed. This study aims to strengthen the effective protection and utilization of micro-habitats in the urban fringe, contributing to the formulation of strategies to reduce the ecological vulnerability of the urban fringe and promote sustainable urban development. Full article

This study addresses the critical gap between academic training and the competency demands of the maritime logistics and port management sector. Using a mixed-methods approach, it integrates benchmarking of postgraduate programs from leading universities, interviews with 15 stakeholders representing diverse industry profiles, and an in-depth curriculum analysis. The research identifies and categorizes essential technical, management, and interpersonal competencies, culminating in the development of a Competency Matrix to guide the alignment of academic curricula with industry requirements. Key competencies identified include strategic decision-making, operations management, data analysis, adaptability, teamwork, and customer engagement, all of which are critical to ensuring efficiency and competitiveness in the sector. This study introduces an innovative framework by combining benchmarking with qualitative insights, addressing a crucial gap in the literature while offering actionable strategies for academia to enhance training programs. The findings highlight the urgent need for universities to develop courses tailored to global challenges, such as digitalization, sustainability, and supply chain resilience. Although this study is exploratory and based on a limited sample size, it provides meaningful insights into the Portuguese maritime and port logistics sector, laying a solid foundation for future research. Further studies should investigate how innovation and emerging technologies, such as artificial intelligence and blockchain, are reshaping competency requirements in this dynamic and globalized industry. Full article

Ti-6Al-4V is a titanium-based alloy that is widely used in a diverse range of applications, especially in industries such as biomedical and aerospace. Several lubricooling techniques have been introduced to enhance the machinability of these materials. Among them, environmentally friendly strategies are gaining in importance, with sustainability trends rising in manufacturing. The present research investigates the effect of two eco-friendly lubricooling techniques (minimum quantity lubrication and cryogenic cooling), along with other cutting parameters (cutting speed and feed per tooth), on the surface roughness and microhardness of the machined surfaces, which are identified as one of the most frequently implemented indicators of surface integrity in the ball-end milling of the Ti-6Al-4V alloy. In addition, the total electrical energy consumption of the machine tools under different cooling/lubrication conditions was also analyzed. The results obtained showed that cryogenic cooling enhanced milling performance as compared to MQL. Moreover, a multi-objective parameter optimization model integrating the machining responses (surface roughness, microhardness, energy consumption, and productivity) and sustainability metrics (environmental impact, operator’s health and safety, and waste management) was introduced. It was found that cryogenic cooling outperformed the MQL method in terms of both machining performance and environmental impact. An analysis of variance (ANOVA) was carried out to evaluate the significance of each process parameter on the multiple performance index. The results indicate that feed per tooth, cooling method, and cutting speed were significant, with respective contributions of 39.4%, 36.8%, and 22.9%. Finally, the optimal parameter setting was verified through a confirmation test and the results reveal that an improvement was observed in the machining responses and multiple performance index. Full article

Using beneficial microorganisms as biostimulants is a promising strategy to enhance crop growth and productivity in hydroponic systems. Trichoderma asperellum has demonstrated plant growth-promoting effects in soil cultivation; however, its efficacy in hydroponic Deep-Water Culture (DWC) systems remains underexplored. This research evaluated the effect of T. asperellum strains TaMFP1 and TaMFP2 on the growth, nutrient uptake, and visual quality of hydroponically grown spinach cv. Stella Plus F-1 (Spinacia oleracea L.). A randomized complete design was used, comparing inoculated plants with a control and a commercial Trichoderma harzianum product. After 28 days, the results showed that T. asperellum significantly increased plant height (23.1%), collar diameter (21.8%), root length (39.6%), leaf area (22.0%), number of leaves (18.05), and fresh biomass accumulation (23.5%) compared to non-inoculated plants. Furthermore, inoculation with TaMFP1 improved spinach yield by 34.5%, while nutrient analysis indicated enhanced phosphorus and calcium uptake. No significant changes were observed in photosynthetic pigment concentrations, and the visual quality of the harvested spinach was unaffected. These findings highlight the potential of T. asperellum as a sustainable biostimulant in hydroponic spinach production. These results contribute to developing beneficial microorganism-based strategies to enhance the sustainability of hydroponic agriculture. Full article