Search Results (83,582)

Skin irritation and itching, often intense, are common consequences of mosquito bites. Interest in cosmetics formulated with natural ingredients has markedly increased among consumers, perceiving them as healthier, safer and more sustainable. We developed a natural formulation based on botanical ingredients for the treatment of mosquito bites. In this work, we tested the physicochemical and microbiological stability of this novel formulation, as well as its skin tolerance. Moreover, we performed an in vitro test to assess its soothing efficacy in comparison with an ammonia-based product. According to our findings, the natural formulation resulted in a stable oil-in-water emulsion, with an appealing texture and good skin tolerance; no cases of erythema or edema were observed in any of the volunteers with sensitive skin after product application. In addition, an in vitro test performed on a keratinocytes cell line showed that our formulation significantly reduced IL-1α levels, with a displayed efficacy comparable to the ammonia-based product. This study emphasizes the promising potential of botanical ingredients in the field of cosmetic dermatology, offering high-performance, well-tolerated skincare products suitable for the treatment of common skin irritations, such as mosquito bites. Full article

Background/Objectives: The development of small-molecule agents that selectively target DNA replication remains a central strategy in anticancer drug discovery. In this study, we report the biological characterization of a novel 6-nitro-benzodioxin-naphthalimide (NI) derivative (compound 5a), evaluated as a potential DNA-targeted anticancer lead. Methods/Results: The antiproliferative activity of 5a was assessed in a small panel of human lung carcinoma cell models (A549, H1299) and a non-malignant control (MRC-5), revealing pronounced cytotoxic effects in tumor cells, accompanied by favorable selectivity indices. Mechanistic investigations demonstrated that treatment with 5a results in strong inhibition of DNA synthesis, as evidenced by a marked reduction in EdU incorporation and a robust induction of the DNA damage marker γH2AX. These effects were associated with cell-cycle perturbations characterized by accumulation in G₁ and G₂/M phases, followed by activation of apoptotic pathways. Importantly, clonogenic survival assays confirmed that even transient exposure to 5a leads to a sustained loss of proliferative capacity, indicating irreversible long-term cellular damage. These results support a replication stress-driven mechanism of action for compound 5a, consistent with interference in DNA-associated processes during S phase. Conclusions: While the precise molecular initiating event remains to be elucidated, the observed biological profile positions 5a as a promising DNA-targeted lead structure with potential for further pharmaceutical optimization. These findings provide a solid foundation for the continued development of naphthalimide-based compounds as anticancer agents within a pharmaceutically relevant framework. Full article

Rapid urbanization is fragmenting ecological spaces in megacities, threatening biodiversity and ecosystem services. Yet, it remains unclear whether, and under what conditions, urban ecological networks (ENs) can recover robustness once heavily disrupted. This study aims to (i) develop a dynamic assessment framework that couples network robustness and connectivity, and (ii) apply it to examine how ENs evolve under sustained urbanization and shifting policy regimes. Using multi-period data for Shenzhen, China (2000–2025), we simulate deliberate and random attacks on patches and corridors to derive data-driven thresholds that grade the importance of ecological elements, and integrate these with graph-based connectivity metrics to track changes in network structure and node centrality over time. Shenzhen’s EN exhibits a typical “fragmentation–reconfiguration–optimization” pathway, with a “rapid decline–deceleration–recovery” trajectory in robustness that closely aligns with the introduction of strict ecological control lines and subsequent restoration initiatives. The results show that targeted protection of residual core habitats, combined with strategic reconnection and infill greening in the urban interior, can reverse earlier losses in network robustness. The proposed robustness-informed framework provides operational guidance for prioritizing protection, restoration, and optimization of ecological space, and offers a transferable approach for adaptive EN planning in high-density tropical and subtropical megacities. Full article

Against the backdrop of global energy transition and sustainable development, advancing the new energy industry has become a critical pathway for optimizing energy structures and achieving the dual carbon goals. However, while China’s new energy sector has experienced rapid growth, it has also exposed a series of challenges, including insufficient innovation momentum, irrational resource allocation, and low conversion rates of R&D outcomes. To delve into the root causes and propose improvement pathways, this study selected 76 listed new energy enterprises from 2021 to 2023 as samples. It comprehensively employed the DEA-BCC model, Malmquist productivity index, and Tobit regression model to conduct empirical analysis across three dimensions: static, dynamic, and influencing factors. The findings revealed: firstly, during the study period, overall static efficiency remained low, with only about 32.90% of enterprises operating efficiently. Efficiency decomposition indicated that low and unstable pure technical efficiency constrained overall efficiency gains. In contrast, while scale efficiency was relatively high, its growth was sluggish, and some enterprises exhibited significant scale irrelevance. Secondly, dynamic total factor productivity exhibited fluctuating growth primarily driven by technological progress. However, declining technical efficiency—particularly the deterioration of scale efficiency—indicated that while the new energy industry advanced technologically and expanded in scale, its management capabilities had not kept pace. This mismatch among the three factors trapped the industry in a “high investment, low efficiency” dilemma. Thirdly, regression analysis of influencing factors indicated that corporate governance and market competitiveness were pivotal to innovation efficiency: the proportion of independent directors and revenue growth rate exerted significant positive impacts, while equity concentration showed a significant negative effect. Firm size had a weaker influence, and government support did not demonstrate a significant positive impact. Accordingly, this paper proposes pathways to enhance innovation efficiency in new energy enterprises, including optimizing corporate governance structures, formulating differentiated subsidy policies, and improving the innovation ecosystem. The findings of this study not only provide empirical references for the innovative development of the new energy industry but also offer theoretical support for relevant policy formulation. Full article

Energy recovery technology is becoming a crucial part of modern approaches that address decarbonization, efficiency, and transitioning into a circular economy. In addition, apart from its advancements in efficiency and environmental benefits, its progress appears to be progressively limited due to its maturity and increasing complexity. In this case, innovation that focuses solely in the firm appears ineffective because more and more important knowledge in terms of innovation in processes and environmental aspects is becoming and remaining outside of organizational boundaries. In this paper, open innovation will be explored in its function as a structural innovation method of advancing energy recovery technology. The paper employs the narrative literature review of peer-reviewed literature indexed in the Scopus database to explore the implications of the outside-in model of open innovation, the inside-out model of open innovation, and the coupled model of open innovation with respect to the primary recovery processes of energy such as combustion, gasification, pyrolysis, anaerobic digestion, and landfill gas recovery. The literature incorporates findings about the implications of knowledge inflows and outflows with respect to the mentioned energy recovery processes. The results show that open innovation efficacy strongly varies according to the degree of technological maturity and performance issues, in that outside-in open innovation tends to be very effective in mature and semi-mature technology sectors, where incremental improvements in efficiency require specialized knowledge outside the industry, while coupled open innovation is crucial for addressing system-wide issues in areas such as emissions, regulatory compatibility, and infrastructure integration, while inside-out innovation is largely a means of facilitating technology dissemination and standardization once a degree of technological maturity had been realized. This study, through the association of selective open innovation practices with corresponding energy recovery technology and challenges, aims to provide a more nuanced perspective on the assistive potential of collaborative innovation in effecting sustainable development in energy recovery technology. Full article

The rapid growth of personal protective equipment (PPE) consumption has generated unprecedented volumes of polymer-based waste, posing a major challenge to the transition from a linear to a circular economic model. The challenges associated with PPE recycling are strongly linked to the sector of origin—including healthcare, laboratories, cleanrooms, and food processing—as this factor determines contamination levels and critically influences subsequent recycling steps. PPE waste originating from the healthcare sector requires stringent decontamination processes, which directly affect the final properties of recycled materials and their suitability for upcycling or downcycling applications. Another decisive factor is source segregation, together with labeling and sorting, given the intrinsic material heterogeneity of PPE, which commonly includes polypropylene (PP) masks, polycarbonate (PC) protective eyewear, and nitrile butadiene rubber (NBR) gloves. Mechanical and chemical recycling routes, including processes specifically developed for elastomeric materials, play a complementary role depending on the cleanliness and composition of the waste streams. The potential for downcycling and upcycling of recycled PPE is closely linked to polymer integrity and process compatibility. When appropriate segregation strategies and tailored recycling technologies are implemented, PPE waste can be effectively diverted from incineration. Under these conditions, PPE—once emblematic of single-use culture—can become a representative example of how complex polymer products may be reintegrated into sustainable material loops, contributing to resource efficiency and circular-economy objectives. Full article

Intangible cultural heritage faces several challenges, including a fragile transmission system, disconnection from modern life, and poor market adaptability. This study takes the Jingsha tenon-and-mortise woodcarving, an important example of Chinese intangible cultural heritage, as a case study to address the issue of the disconnection between traditional craftsmanship and contemporary demands. Methods: A sustainable development model based on user–AIGC–craftsman collaboration is proposed. The research integrates Kano Model and Analytic Hierarchy Process (AHP) based demand analysis, AIGC-generated design solutions, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) evaluation, and Cursor and MCP 3D modeling technologies. The results indicate that this approach reduces design confirmation time from three days to one, minimizes material waste through precise size specifications, and achieves high user satisfaction. The study demonstrates that combining user-centered design with AI-assisted craftsmanship creates a balanced pathway for the sustainability of intangible cultural heritage, while addressing issues of cultural preservation, economic feasibility, and resource efficiency. This tripartite model offers a replicable framework for the sustainable development of traditional crafts globally. Full article

Very Low Earth Orbit (VLEO) satellites, operating at altitudes below 450 km, provide tremendous potential in the domain of remote sensing. Their proximity to Earth offers high resolution, low latency, and rapid revisit rates, allowing continuous monitoring of dynamic systems and real-time delivery of vertically integrated earth observation products. Nonetheless, the application of VLEO is not yet fully realized due to numerous complexities associated with VLEO satellite development, considering atmospheric drag, short satellite lifetimes, and social, political, and legal regulatory fragmentation. This paper reviews the recent technological developments supporting sustainable VLEO operations with regards to aerodynamic satellite design, atomic oxygen barriers, and atmospheric-breathing electric propulsion (ABEP). Furthermore, the paper provides an overview of the identification of regulatory and economic barriers that extort additional costs for VLEO ranging from frequency band allocation and space traffic management to life-cycle cost and uncertain commercial demand opportunities. Nevertheless, the commercial potential of VLEO operations is widely acknowledged, and estimated to lead to an economic turnover in the order of 1.5 B USD in the next decade. Learning from the literature and prominent past experiences such as the DISCOVERER and CORONA programs, the study identifies key gaps and proposes a roadmap to sustainable VLEO development. The proposed framework emphasizes modular and serviceable satellite platforms, hybrid propulsion systems, and globally harmonized governance in space. Ultimately, public–private partnerships and synergies across sectors will determine whether VLEO systems become part of the broader space infrastructure unlocking new capabilities for near-Earth services, environmental monitoring, and commercial innovation at the edge of space. Full article

The informal street food sector serves as a vital component of urban economies in South Africa, providing affordable nutrition and employment. However, this industry struggles to comply with required health and safety practices and standards. This study protocol outlines a mixed-methods investigation into hygiene practices, regulatory compliance, and the intersection with business sustainability among informal food vendors in Johannesburg’s inner city. This study aims to investigate how vendors’ perceptions of health risks and benefits influence compliance behaviours and, in turn, how these behaviours impact operational efficiency, financial stability, and customer trust. Grounded in the Health Belief Model (HBM) and the Balanced Scorecard (BSC) framework, the research seeks to explore both behavioural drivers and performance outcomes associated with hygiene adherence. The study will employ structured stall observations, semi-structured vendor interviews, and customer surveys across high-density vending zones. Quantitative data will be analysed using descriptive and inferential statistics, while qualitative data will be thematically analysed and triangulated with observed practices. The expected outcome is to identify key barriers and enablers of hygiene compliance and demonstrate how improved food safety practices contribute to business resilience, customer trust, and urban public health. The findings aim to inform inclusive policy and innovative business support strategies that integrate informal vendors into safer and more sustainable food systems. Full article

(1) Background: Education serves as a catalyst for social transformation toward sustainability, yet limited empirical evidence exists regarding primary education’s contribution to regional sustainable development, particularly in island contexts facing unique environmental and economic pressures. This study examined primary education teachers’ perceptions, practices, and challenges in implementing Education for Sustainable Development (ESD) in Zakynthos, Greece. (2) Methods: A triangulated quantitative approach surveyed a representative sample of 105 primary education teachers from the Zakynthos Primary Education Directorate using a 28-item structured questionnaire assessing ESD knowledge, teaching practices, barriers, and improvement strategies. Teacher questionnaire data were triangulated with KEPEA (Center for Environmental Education and Sustainability) program documentation (103 programs, 2020–2025) and school implementation records from 75 participating schools. Data were analyzed using descriptive statistics, Mann–Whitney U tests, Kruskal–Wallis tests, and Spearman correlations. (3) Results: Most teachers (65.7%) reported adequate knowledge of sustainable development concepts, with 75.3% incorporating ESD into teaching practice often or very often. Triangulation revealed convergent findings: environmental sustainability dominated teacher perceptions (67.3%) and KEPEA programming (78.4%), while economic sustainability received limited attention (18.1%). Female teachers demonstrated significantly higher ESD knowledge (U = 892.5, p < 0.05, r = 0.34). The majority (98.1%) considered ESD integration important, yet only 48.5% felt adequately prepared to teach sustainability topics. A notable attitude-action gap emerged: while 86.6% valued community partnerships, only 47.6% engaged frequently, and KEPEA documented 33.7% of formal collaborations. Primary barriers included insufficient curriculum time (61.9%) and limited resources (51.4%). Teachers identified training programs (71.4%) and access to educational materials (71.4%) as priority interventions. (4) Conclusions: Primary education teachers in Zakynthos demonstrate strong commitment to ESD but face structural barriers limiting implementation effectiveness. The environmental-economic imbalance suggests a need for professional development, integrating economic sustainability concepts through place-based approaches relevant to the island’s tourism-dependent economy. The attitude-action gap in partnerships indicates structural rather than attitudinal barriers requiring policy intervention. Findings support targeted teacher training, curriculum reform, and strengthened school-community collaboration to enhance ESD’s contribution to regional sustainable development. Full article

Blockchain is increasingly applied in the agri-food sector to enhance traceability, data integrity, and accountability. However, its broader role in food system sustainability remains insufficiently characterized, particularly when examined against global megatrends shaping future agri-food transitions. This paper investigates how blockchain technology can reinforce sustainable, inclusive, and resilient food systems under the effect of major global megatrends. A structured literature review of peer-reviewed and industry sources was conducted to identify evidence on blockchain-enabled improvements in transparency, certification, and supply chain coordination. Complementary analysis of a curated dataset of European and international pilot implementations evaluated technological architectures, governance models, and demonstrated performance outcomes. Additionally, stakeholder-based foresight activities and scenarios representing alternative blockchain adoption pathways, developed within the TRUSTyFOOD project (GA: 101060534), were used to examine the interconnection between blockchain adoption and megatrends. Evidence from the literature and pilot cases indicates that blockchain can strengthen product-level traceability and improve verification of sustainability and safety claims. Cross-case analysis also reveals persistent constraints, including heterogeneous technical standards, limited interoperability, high deployment costs for smallholders, and governance risks arising from consortium-led platforms. Blockchain can function as an enabling digital layer for sustainable and resilient food systems and should be embedded in wider, participatory strategies that align digital innovation with long-term sustainability and equity goals in the agri-food sector. Full article

Industrial packaging systems exert substantial environmental pressures, including material resource depletion, greenhouse gas emissions, and the accumulation of post-consumer waste. As global supply chains expand and sustainability regulations intensify, demand for environmentally responsible packaging solutions continues to rise. This study evaluates the environmental footprint of industrial packaging by integrating recent developments in life cycle assessment (LCA), ecological footprint (EF) methodologies, material innovations, and circular economy models. The assessment examines the sustainability performance of conventional and alternative packaging materials, plastics, aluminum, corrugated cardboard, and polylactic acid (PLA). Findings indicate that although corrugated cardboard is renewable, it still presents a measurable environmental burden, with evidence suggesting that incorporating solar energy into production can reduce its footprint by more than 12%. PLA-based trays demonstrate promising environmental performance when sourced from renewable feedstocks and directed to appropriate composting systems. Despite these advancements, several systemic challenges persist, including ecological overshoot in industrial regions where EF may exceed local biocapacity limitations in waste management infrastructure, and significant economic trade-offs. Transportation-related emissions and scalability constraints for bio-based materials further hinder large-scale adoption. Existing research suggests that integrating sustainable packaging across supply chains could meaningfully reduce environmental impacts. Achieving this transition requires coordinated cross-sector collaboration, standardized policy frameworks, and embedding advanced environmental criteria into packaging design and decision-making processes. Full article

“Milky disease” of the Chinese mitten crab (Eriocheir sinensis), caused by Metschnikowia bicuspidata, leads to substantial economic losses. Despite extensive research on its pathogenesis, the genetic basis of host resistance and underlying regulatory mechanisms remain unclear, limiting the development of disease-resistant varieties. This study aimed to (1) evaluate resistance differences among 10 E. sinensis families (five highly resistant and five sensitive) via artificial challenge; (2) identify disease-resistance-associated genetic loci using genome-wide association analysis (GWAS). Our findings revealed that the F05 family exhibited the strongest resistance, with a mortality rate of only 3% and a molting rate of 73%, accompanied by superior growth performance. Whole-genome resequencing identified 10,161,545 high-quality SNPs, and GWAS detected 767 loci significantly associated with disease-resistance traits, among which two pleiotropic SNPs (Chr46:18395778 and Chr1:20680490) were simultaneously associated with both “dead or not” and “qPCR fixed amount of fungi”, reflecting their functional relevance in regulating survival and pathogen load. Notably, we propose for the first time that E. sinensis achieves resistance by inducing M. bicuspidata into a viable but nonculturable (VBNC) state, in which the fungal cells remain metabolically active but cannot form colonies on conventional culture media. This study establishes a multidimensional resistance evaluation system, clarifies the genetic basis and novel mechanism of resistance, and provides valuable molecular markers for marker-assisted breeding. The findings contribute to reducing disease-related losses and promoting sustainable development of the E. sinensis aquaculture industry. Full article

This study presents a machine learning framework to automate the mapping of the Integrated Relative Anthropization Index (INRA, by its Spanish acronym). A predictive model was developed to estimate the degree of anthropization in the basin of Lake Tota, Colombia, using the XGBoost machine learning algorithm and remote sensing data. This research, part of a broader wetland monitoring project, aimed to identify the optimal spatial scale for analysis and the most influential predictor variables. Methodologically, models were tested at resolutions from 20 m to 500 m. The results indicate that a 50 m spatial scale provides the optimal balance between predictive accuracy and computational efficiency, achieving robust performance in identifying highly anthropized areas (sensitivity: 0.83, balanced accuracy: 0.91). SHAP analysis identified proximity to infrastructure and specific Sentinel-2 spectral bands as the most influential predictors in the INRA emulation model. The main result is a robust, replicable model that produces a detailed anthropization map, serving as a practical tool for monitoring human impact and supporting sustainable management strategies in threatened high-Andean ecosystems. Rather than a simple classification exercise, this approach serves to deconstruct the INRA methodology, using SHAP analysis to reveal the latent non-linear relationships between spectral variables and human impact, providing a transferable and explainable monitoring tool. Full article

This study presents a sustainable valorization strategy for wastewater treatment plant (WWTP) residual sands through their hydrothermal conversion into a dual-phase FAU/LTA zeolite and evaluates its adsorption performance toward methylene blue (MB) as a model cationic contaminant. The synthesized material (ZEO-RS) exhibited a low Si/Al ratio (~1.7), well-developed FAU supercages with minor LTA domains, and high structural integrity, as confirmed by XRD, FTIR, XRF, SEM and PZC analyses. ZEO-RS demonstrated rapid adsorption kinetics, reaching approximately 92% of equilibrium uptake within 30 min and following a pseudo-second-order kinetic model (k₂= 2.73 g·mg⁻¹·h⁻¹). Equilibrium data were best described by the Langmuir isotherm, yielding a maximum adsorption capacity of 34.2 mg·g⁻¹ at 20 °C, with favorable separation factors (0 < r_L < 1), while Freundlich fitting indicated moderate surface heterogeneity. Thermodynamic analysis revealed that MB adsorption is spontaneous (ΔG° = −11.98 to −12.56 kJ·mol⁻¹), mildly endothermic (ΔH° = +5.26 kJ·mol⁻¹), and entropy-driven (ΔS° = +0.059 kJ·mol⁻¹·K⁻¹). FTIR evidence, combined with pH-dependent behavior, indicates that adsorption proceeds via synergistic electrostatic attraction, pore confinement within FAU domains, and partial ion-exchange interactions. Desorption efficiencies conducted under mild acidic, neutral, and alkaline conditions resulted in low MB release (1–8%), indicating strong dye retention and high framework stability. Overall, the results demonstrate that WWTP residual sands are an effective and scalable low-cost precursor for producing zeolitic adsorbents, supporting their potential application in sustainable water purification and circular-economy-based wastewater treatment strategies. Full article