Search Results (4,240)

Bacterial drug resistance has become increasingly severe, with the development of novel antibiotics lagging far behind the evolution of resistant strains, drastically limiting clinical treatment options. Therefore, the development of new antibacterial materials is urgently needed. In this study, we synthesized a gallium-based metal–organic framework antibacterial material, designated as GM, with gallium as the central atom. Compared to a previously reported gallium-based MOF (FM), GM features a greener and milder synthesis process (room temperature, aqueous solvent, no toxic additives) while exhibiting improved antibacterial performance. Despite sharing identical raw materials, GM and FM are structurally distinct due to differences in synthesis methods, as evidenced by variations in morphology and crystal structure. Antibacterial assays against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) demonstrated that GM outperforms FM, particularly against S. aureus, where GM exhibits threefold higher efficacy. Mechanistic investigations revealed that GM induces substantially higher intracellular reactive oxygen species levels and stronger disruption of bacterial membrane potential compared to FM, which may underpin its enhanced antibacterial activity. Additionally, cytotoxicity tests confirmed that GM shows no significant toxicity to mammalian cells. This study presents a gallium-based MOF prepared via a green synthesis route, with favorable antibacterial efficacy and biocompatibility, offering insights and a reference for the development of non-antibiotic antimicrobial agents. Full article

The current investigation utilized stem nodes from pre-established aseptic lines of Mussaenda pubescens as explants to optimize an efficient in vitro propagation protocol and investigated the effect of different light qualities (white, red, blue, and green) on metabolite accumulation in micropropagated plantlets. The findings demonstrated that the optimal medium for shoot proliferation was Murashige and Skoog basal medium supplemented with 6-Benzylaminopurine 2.0 mg·L⁻¹ and α-naphthaleneacetic acid 0.2 mg·L⁻¹, achieving a multiplication coefficient of 12.2 after 30 days. Rooting was more effective on Murashige and Skoog basal medium containing α-naphthaleneacetic acid 0.1 mg·L⁻¹ and activated charcoal 1 g·L⁻¹, resulting in a 100% rooting rate. During acclimatization, a substrate mixture of perlite:vermiculite: peat soil (1:1:1) promoted vigorous root development with a 100% survival rate at post-transplantation. Light quality significantly influenced plant morphology: red light stimulated stem elongation, while blue light increased biomass accumulation. Broad-target metabolomics revealed distinct metabolite profiles under different light spectra, with differentially accumulated metabolites primarily belonging to terpenoids, organic acids, lipids, and flavonoids. Specifically, red light enhanced the levels of terpenoids and lipids; blue light promoted the synthesis of specific triterpenoid saponins and lipids; while green light increased the content of certain terpenes and broadly upregulated a wide spectrum of lipids. This work provides a robust framework for the commercial micropropagation of Mussaenda pubescens and elucidates the strategic use of light quality to enhance the production of its valuable medicinal metabolites, including terpenoids and lipids. Full article

The increased energy efficiency of electrified vehicles and their potential to reduce CO₂ emissions through the use of environmentally friendly materials are highlighted as reasons for the shift to electrified vehicles. Brief trends on the development of electric vehicles (EVs) have been discussed, presenting outstanding improvement towards the actualization of the green economy. The state of the art in lubrication has been thoroughly investigated as one of the factors influencing energy efficiency and the lifespan of machine components. As a result, many reports on the effectiveness of specific lubricants in electric vehicle applications have been developed. Good thermal and corrosion-resistant lubricants are necessary because of the emergence of several new tribological difficulties, especially in areas that interact with greater temperatures and currents. To avoid fluidity and frictional problems that may be experienced over its lifetime, a good viscosity level of lubricant was also mentioned as a crucial component in the formulation of EV lubricant. New lubricants are also necessary for the gearbox systems of electric vehicles. Furthermore, battery electric vehicles (BEVs) require a suitable cooling system for the batteries; thus, a compatible nano-fluid is recommended. Sustainable battery cooling options support global energy efficiency and carbon emission reduction while extending the life of EV batteries. The path for future advancements or the creation of the most useful and efficient EV lubricants is provided by this review study. Full article

Guava (Psidium guajava L.) is considered a rich source of bioactive compounds with high antioxidant activity; however, information on cultivars grown in Korea remains limited. This study aimed to compare the physicochemical characteristics, antioxidant compound contents, including lycopene content, and radical scavenging activities of five guava cultivars (‘Gihyun gold no. 2’, ‘Gihyun gold no. 3’, ‘Gihyun green’, ‘Gihyun red’, and ‘Redlee’) cultivated in Eumseong, Korea, during the 2022 season. Significant differences were observed among cultivars in soluble solids, acidity, firmness, and color, as well as in their organic acid, sugar, and polyphenol profiles. Lycopene was detected only in red-fleshed cultivars, with ‘Gihyun gold no. 2’ showing the highest content (5.21 ± 0.20 mg/100 g FW), while ‘Redlee’ exhibited the highest levels of total phenolics (474.92 ± 9.37 mg GAE/100 g FW), ascorbic acid (292.38 ± 4.40 mg/100 g FW), and radical scavenging activities in both assays (432.16 ± 13.37 mg VCE/100 g FW for DPPH and 640.59 ± 50.44 mg VCE/100 g FW for ABTS). In contrast, ‘Gihyun gold no. 2’ consistently showed the lowest antioxidant values. Correlation analysis revealed that total phenolics and ascorbic acid were strongly associated with both DPPH and ABTS radical scavenging activities. These findings indicate that guava cultivars grown in Korea possess high nutritional and functional value, and highlight ‘Redlee’ as a promising source of vitamin C, polyphenols, and lycopene with potential applications in health-promoting foods, nutraceuticals, and value-added product development. Full article

In recent decades, China has witnessed remarkable growth in housing construction, yet housing-related complaints have not declined significantly, highlighting the gap between housing quality and public expectations. Against this background, this study analyzes 32,277 national surveys to unpack residential satisfaction with green-livable communities in China. Entropy and standard-deviation weighting identified 16 priority indicators; artificial neural networks revealed weak direct influence of basic demographics on satisfaction, highlighting non-linear demand patterns. While 65–75% of respondents are satisfied with most attributes, significant city-level gaps persist—Beijing peaks near 90%, Chongqing falls below 50%. Dissatisfaction converges on three domains: infrastructure (parking, barrier-free access), building performance (leakage, noise, thermal defects) and smart systems (security, energy, health monitoring). Residents’ improvement priorities have shifted from basic shelter to health safety, smart technology, humanistic care and ecological amenities. A “basic-security + quality-upgrade” strategy is proposed: short-term repairs of common defects, medium-term smart-sustainable upgrades and long-term participatory governance. The findings not only enrich the theoretical framework of community satisfaction research but also provide practical guidance for enhancing community quality and meeting residents’ expectations in the context of China’s rapid urbanization and housing development. Full article

Amidst global climate warming and increasingly severe food security challenges, the agroforestry economy, a green ecological industry that balances ecological conservation and economic development, has attracted widespread attention. This study constructs a theoretical analytical framework based on the diamond model to systematically identify key factors influencing the development of the agroforestry economy. Using 56 practical cases from the agroforestry economy in China as samples, the study applies Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) to further explore the multiple driving paths of agroforestry economic development and their supporting elements. The research findings show that (1) forest resources, technological innovation, market demand, enterprise forms, related industries, and government support do not constitute necessary conditions for the development of the agroforestry economy. The path to the development of the agroforestry economy exhibits complex and concurrent multi-faceted characteristics. (2) Technological innovation has always been at the core of all configurations, and strengthening technological innovation plays a universal role in enhancing the level of agroforestry economic development. The role of government support in the process of the development of the agroforestry economy is limited. (3) The system identified four driving paths, including the endogenous type, characterized by resource technology enterprises; the collaborative type, characterized by a resource technology market with light promotion by the government; the external expansion type, characterized by market technology enterprises; and the linkage type, characterized by market technology enterprises assisted by related industries. The consistency level of the overall solution reached 0.91, and the coverage was 0.54. It reveals the different driving mechanisms with different combinations of elements for the development of the agroforestry economy. Therefore, each region should strengthen scientific and technological research, innovation, and the transformation and application of research outcomes. It should promote the coordinated development of diverse factors, establish tailored regional development models, and explore suitable pathways for developing the agroforestry economy based on its unique resource endowments. Full article

Addressing climate change and achieving carbon neutrality are urgent global responsibilities, with China’s “dual carbon” goals presenting a significant challenge and opportunity for its energy sector. Green finance, as a pivotal driver for fostering low-carbon and high-quality development in the energy industry, significantly accelerates its green transition. Employing an integrated micro-macro framework, this study first develops a tripartite evolutionary game model involving government, local energy enterprises, and external energy enterprises to analyze the micro-mechanisms of corporate low-carbon decision-making under green finance policies. Subsequently, utilizing panel data from 30 Chinese provinces (2013–2021), it empirically examines the macro impact of green finance on the industry’s low-carbon, high-quality development using a spatial Durbin model (SDM). Key findings include the following: (1) Game analysis reveals that local enterprises’ low-carbon transition propensity and emission reduction returns increase with R&D investment but are negatively moderated by the tax rate level within green finance policies. (2) Spatial econometric results demonstrate that green finance significantly facilitates local energy industry low-carbon transition via technological progress, confirming a significant negative spatial spillover effect on neighboring regions, with notable regional heterogeneity. (3) The effectiveness of green finance policy exhibits significant regional disparity, being markedly stronger in eastern China compared to central and western regions. The findings provide a theoretical and practical foundation for improving market mechanisms and regional coordination in China’s green finance policies, offering a valuable reference for the design of green finance systems in other major emerging and developing economies. Full article

Informal settlements, urban areas with substandard housing conditions and inadequate infrastructure, are increasing in Africa’s sub-Saharan cities, fueled by rapid urbanization, economic challenges, and high housing prices. However, developers often ignore the green building (GB) concept when upgrading housing conditions for these communities. This study aims to investigate GB design strategies specifically for residential structures in Akabahizi to identify and propose practical strategies suitable for informal settlements such as Akabahizi and to develop sustainable housing solutions that enhance environmental quality and meet the needs of residents. Simulation software and combined qualitative and quantitative data collection techniques, including field surveys, interviews, and assessments of existing building conditions, constitute the methodology used in this study. The focus was on the influence of climatic factors, including temperature, precipitation, and wind, on design choices, particularly GB design and current residential buildings in Akabahizi. Based on the survey, 82.5% of residents support the GB concept, 87.4% recognize the importance of GB for community well-being, and 97.1% recognize the benefits of integrating energy-efficient technology for residents’ well-being. Questionnaire findings were considered in decision-making for the design of the new proposed structure to address challenges in the area. Optimized energy efficiency, daylight access, and thermal comfort resulting from courtyard design support GB design incorporating a courtyard as a robust and culturally relevant sustainable design framework tailored for Akabahizi. The courtyard provides green space that promotes social interaction, improves air quality, and delivers natural cooling elements that are essential for residential housing. The proposed new design, with green roof and renewable energy devices, improved material usage, and natural ventilation elements, outperformed the existing one in terms of lower levels of carbon emission for environmental protection. In conclusion, a collaborative effort is needed among various stakeholders, including architects, urban planners, and educational institutions, to promote and implement sustainable building practices. The study suggests that enhancing awareness, offering training opportunities, and empowering local professionals and residents alike can pave the way for improved living conditions and sustainable urban development in Akabahizi and similar informal settlements. Full article

Green and low-carbon development (GLD) is central to facilitating the high-quality transitional development of economic and social sectors, as well as to the achievement of China’s “dual carbon” goals. The digital economy (DE), a burgeoning economic paradigm, serves as a potent driver for GLD by leveraging its intrinsic strengths in innovation-led growth and cross-sectoral industrial integration. Drawing on the TOE (Technology-Organization-Environment) framework, this study employs dynamic Qualitative Comparative Analysis (QCA) and regression analysis to examine panel data (2014–2023) of 44 core coastal cities in the Yangtze River Economic Belt, aiming to identify the driving paths of GLD. The research results indicate that a single dimension in the DE cannot constitute the necessary condition for regional GLD. Specifically, there are 6 configurational paths for high-level GLD (categorized into “organization-led” and “technology-organization-environment multi-driven” models) and 3 paths for low-level GLD (summarized as “three-dimensional constraint” and “technology-organization deficiency” models). In terms of the driving effect, the technology-organization-environment multi-driven configurational path exerts the strongest promotional effect on regional GLD. This study yields a valuable theoretical foundation for understanding the synergistic role of multidimensional DE elements in driving GLD, while also delivering actionable insights for local governments to identify contextually tailored GLD trajectories. Full article

Objective: The human body cannot withstand intense mechanical forces generated by an earthquake. The shaking effect of an earthquake, as the human body absorbs it, produces both visible and invisible injuries. Therefore, it is essential to provide accurate triage in the process of mass casualties. Hence, this study aims to characterize green triage patients of the 2023 Kahramanmaraş, Turkey, earthquake and emphasize the need to reconsider mass casualty triage. Methods: A retrospective cross-sectional study was conducted on green triage patients who did not receive first-aid medical attention and attended the emergency department (ED) of a tertiary care hospital. The development of crush syndrome (CS), the receipt of renal replacement therapy (RRT), and associated injuries were considered. Results: Among 295 individuals, CS occurred in 32.2%, and RRT was required in 7.1% of cases. In addition to the traditional markers of CS, non-trapped green triage patients developed both CS and required RRT, as well as sustained injuries. Whether trapped or not, CK levels emerged as a significant predictor of CS. Conclusions: Green triage patients may acquire CS even in the absence of obvious injuries or entrapment. Accurate triage can be life-saving even in the absence of obvious injuries. Full article

The increasing demand for sustainable substrates in agriculture and urban greening calls for alternatives to peat, whose extraction poses significant environmental risks. This study assesses the potential of olive pomace biochar (OB), wood biochar (WB), and green compost (GC), alone or in combination, to partially replace peat in growing media and improve substrate properties and plant development. Ten different substrates were formulated by substituting 10–20% of a commercial peat-based substrate with these organic amendments, using the commercial substrate alone as a control. The effects of such replacements were evaluated in the following experiments: a germination test conducted in Petri dishes using four forage species (Medicago polymorpha, Lolium perenne, Festuca arundinacea, and Lolium rigidum); and two parallel pot experiments lasting 100 days each (one with M. polymorpha and L. perenne, and another with young Olea Europaea var. Arbequina saplings). This study evaluated the impact on plant development, as well as the physical properties and composition of the substrates during the incubation process. Germination and survival of forage species were comparable or improved in most treatments, except those including 20% OB, which consistently reduced germination—likely due to high electrical conductivity (>10dS/m). In the pot experiments, substrate pH and total carbon content increased significantly with biochar addition, particularly with 20% WB, which doubled total C relative to control. Both forage species (Medicago polymorpha and Lolium perenne) and the olive saplings (Olea Europaea) exhibited normal growth, with no significant differences in biomass, water content, or physiological stress indicators when compared to the control group. Nutrient uptake was found to be stable across treatments, although magnesium levels were below sufficiency thresholds without triggering visible deficiency symptoms. Overall, combining compost and biochar—particularly WB and GC—proved to be a viable strategy to reduce peat use while maintaining substrate quality and supporting robust plant growth. This approach proved effective across the different plant varieties tested, including Medicago polymorpha, Lolium perenne, and young olive plants, which together encompass a wide spectrum of agronomic and horticultural applications as well as contrasting growth and nutrient requirements. Adverse effects on early plant development can be avoided by carefully selecting and characterizing biochars, with specific attention to salinity and C/N ratio. This finding is crucial for the successful large-scale implementation of sustainable alternatives to peat. Full article

As a systematic project, corporate green innovation involves technological, organizational, and environmental dimensions. Therefore, its effective functioning is contingent on guidance from internal leadership. STEM represents an integration of science, technology, engineering, and mathematics education. A STEM CEO is a chief executive officer holding a degree in science, engineering, agriculture, or medicine. However, research on the impact of STEM CEOs on green innovation is limited. Using data from Chinese listed manufacturing firms from 2010 to 2023, panel fixed effects models reveal that STEM CEOs positively influence corporate green innovation. Further analysis indicates that alleviating financing constraints, fostering external collaboration, increasing R&D investment, and improving the efficiency of innovation resource allocation are key pathways through which STEM CEOs enhance green innovation output. Furthermore, this impact is positively moderated by the level of green finance development and the intensity of market competition. Finally, heterogeneity tests demonstrate that these positive effects are more pronounced for firms with high public environmental concern, in non-heavily polluting industries, with strong ESG performance, and in highly competitive industries. These findings underscore the role of STEM leaders in enhancing the output of green innovation systems, offering actionable insights into the interaction between STEM CEOs and the external environment. Full article

As an important part of the circular economy, recycling old garments not only lessens resource waste, but also offers significant social benefits and environmental conservation. Taking Hefei City, Anhui Province, China, as a case, this study adopted the innovative Planned Behavior Theory (TPB) model and introduced innovative variable community promotion as the moderating variable to analyze the influencing factors of residents’ used clothing recycling behavior. It was found that residents’ attitudes, perceived behavioral control, and subjective norms were key factors influencing their intention to recycle used clothes. Community promotion activities play a positive role in improving residents’ perceived behavior control. However, there is also an interaction between community promotion and perceived behavior control, indicating that the effect of community promotion is affected by residents’ perceived behavior control level. This shows that the publicity and promotion of the community will improve residents’ enthusiasm for recycling old clothes, but if the publicity or promotion is too strong, it may lead to a decline in residents’ enthusiasm. The results show that improving residents’ environmental awareness, simplifying the recycling process, utilizing social influence, rationally planning community promotion activities, policy support and incentive measures, and establishing multi-party cooperation mechanisms are effective ways to promote the recycling of used clothing and resources. Through these measures, we can better promote the recycling of used clothing, realize the rational development, utilization, and protection of resources, and contribute to the realization of green and high-quality development. However, this study is limited to the research and investigation in Hefei, Anhui Province, and most of the respondents have a certain educational background, so the universal applicability of the data may not be significant. Full article

Environmental protection is an essential path to achieving high-quality economic development, and green tax policies are an effective means of achieving environmental protection. This study categorizes green tax policies into environmental protection-oriented green tax policies, resource-oriented green tax policies, and guidance-oriented green tax policies based on the nature of the tax. The fixed-effect model, the system GMM model and the continuous DID model are used to explore the causal relationship between the overall green tax policy, the classified green tax policy and the use of natural resources. The spatial Durbin model is used to explore the spatial spillover effect of the green tax policy and the regional heterogeneity in the east, central, west and northeast of China. Finally, the role of trade openness in the relationship between the green tax policy and natural resource use is explored. The research results show that (1) the green tax policy has a positive effect on natural resource use, but the green tax policy in the previous period has no promoting effect, and the natural resource use in the previous period has a positive impact on the current period. Among them, there is no causal relationship between the resource-occupying green tax and natural resource use. (2) All three types of green tax policies studied in this paper have spatial spillover effects, but the spillover effects of the three types of green tax policies are relatively small in the eastern region. The spillover effects of the three types of green tax policies in the central region are significantly negative. In the western region, only the guiding green tax policy has a spillover effect. In the northeastern region, the environmental protection green tax policy and the resource-based green tax policy are significantly negative, while the guiding green tax spillover effect is significantly positive. (3) In the mechanism test, the guiding green tax policy has an impact on natural resource utilization through trade openness, while the environmental protection green tax policy and the resource-based green tax policy cannot affect natural resource utilization through the level of trade openness. Finally, based on the research conclusions, policy recommendations are proposed from the perspectives of policy timeliness, tax structure adjustment, and trade network optimization to maximize economic benefits. Full article

Balancing the development of agricultural cold chain logistics with ecological conservation remains a critical challenge for green cold chain logistics in China’s three northeastern provinces. This study evaluates the efficiency of green cold chain logistics to promote synergy between logistics development and ecological sustainability. Using CiteSpace for keyword co-occurrence analysis and literature extraction, an evaluation index system comprising eight input and output indicators was constructed. The super-efficiency Slacks-Based Measure (SBM) model and the Malmquist–Luenberger (ML) productivity index were employed to assess efficiency from static and dynamic perspectives, respectively. Kernel density estimation was used to examine spatial distribution patterns, and the Dagum Gini coefficient was applied to decompose regional disparities. The results indicate that (1) overall efficiency remains relatively low, with ML index changes primarily driven by technological progress; (2) substantial regional differences exist among the three provinces in terms of distribution location, shape, and degree of polarization; and (3) inter-regional disparities are the main source of variation. A Tobit model further identified the key influencing factors, indicating that the level of economic development, growth of the tertiary industry, and informatization are the main drivers. These findings provide valuable insights for optimizing regional green cold chain logistics and promoting sustainable agricultural development. Full article