Search Results (5,500)

In this study, a series of Ag/Co-HA catalysts were synthesized using a plasma-assisted method. Plasma is a partially ionized gas composed of electrons, ions, neutral molecules, free radicals, photons, and excited-state substances, which can serve as a highly reactive medium for catalyst modification. Its unique discharge characteristics can effectively regulate the dispersion of active sites, electronic structure, and metal–support interactions. The study compared the performance of catalysts prepared by the traditional high-temperature calcination method with those treated by rapid plasma in the toluene oxidation removal reaction. The results showed that the catalyst treated by dielectric barrier discharge (DBD) plasma exhibited excellent low-temperature catalytic activity, achieving 100% toluene conversion and approximately 75% CO₂ selectivity at 275 °C, while the catalyst prepared by traditional calcination only achieved 73% toluene conversion and approximately 50% CO₂ selectivity at 285 °C. This study provides a simple preparation method for the Ag/5Co-HA-P catalyst. Due to the plasma treatment’s ability to precisely control the catalyst structure, along with advantages such as low energy consumption, short processing time, and environmental friendliness, it holds significant application prospects in the field of VOCs treatment. Full article

This study investigates the impact of Environmental Policy Stringency (EPS) on GVC functional specialization. We find that EPS promotes high value-added, low-carbon upstream and downstream specialization—supporting the “Porter Hypothesis (PH)”—while simultaneously driving carbon-intensive production to regions with lax regulations, validating the “Pollution Haven Hypothesis (PHH)”. These findings demonstrate that both effects coexist across distinct GVC stages. Heterogeneity analysis reveal that policy impacts vary different instruments: market-based instruments drive upstream functional specialization, whereas non-market measures drive downstream functional specialization. In terms of temporal dynamics, the Paris Agreement intensified the PHH in production activities while catalyzing medium-to-long-term incentives for upstream and downstream specialization. The influence of EPS on GVC structural adjustments has strengthened notably since the Paris Agreement, reflecting a significant temporal lag and long-term efficacy. Mechanistically, low-carbon innovation serves as the primary channel for functional upgrading, an effect significantly amplified by robust national innovation systems (NIS) and entrepreneurship. Meanwhile, NIS and entrepreneurship partly amplify the positive effect of EPS on high-end functional specialization. From a GVC functional perspective, this study offers new evidence reconciling the PH and the PHH. Full article

Conventional infrastructure appraisal in Africa prioritizes short-term economic performance while insufficiently accounting for the environmental conditions that govern long-term sustainability, spatial equity, and development resilience. To address this gap, this study develops an explicitly SDG-oriented spatial–ecological framework to examine how environmental quality conditions the economic returns of large-scale infrastructure investments under corridor-based development. The primary objective is to quantify infrastructure–environment complementarity and identify ecological thresholds regulating spatial spillovers and investment effectiveness along Tanzania’s Belt and Road Initiative (BRI) corridors. High-resolution remote sensing and spatially explicit socioeconomic data for 2012–2023 are integrated within a spatial econometric design. A Spatial Durbin Model (SDM) incorporating the Normalized Difference Vegetation Index (NDVI) is estimated to capture non-linear interaction effects, with economic activity proxied by Night-Time Light (NTL) intensity across 2680 corridor grid cells. The results identify a statistically robust ecological threshold at NDVI = −0.8σ, beyond which infrastructure investments shift from low to high economic effectiveness. A strong positive infrastructure–environment interaction (β = 6.44, p < 0.001) indicates that environmental quality functions as a productive modulating factor rather than a passive constraint. Spatial classification shows that 63% of corridor areas are investment-ready, while 15% require ecological restoration prior to effective infrastructure deployment. Although institutional quality and long-term post-construction dynamics are not explicitly modeled, the framework provides a replicable and policy-relevant decision-support tool, offering actionable guidance for aligning corridor development with SDGs 9, 11, and 13 and advancing sustainable infrastructure planning in the Global South. Full article

Nature-based Solutions (NbS) are essential for peri-urban resilience; however, a critical research gap exists regarding the lack of species-specific eco-physiological validation for interventions within complex biocultural systems. This study addresses this gap by assessing the vulnerability of Quararibea funebris, a shade-tolerant tree and biocultural keystone for the tejate economy in Oaxaca, Mexico, currently caught in an anthropogenic ecological trap. A mixed-methods approach was employed, integrating a geospatial analysis of land-use change (1992–2021), microclimatic monitoring, and ethnographic assessment of gendered management. Results reveal the loss of 1552 ha of forest buffer, which has degraded the thermal niche below the species optimum. Urban specimens are subjected to a Daily Light Integral exceeding 38 mol m⁻² d⁻¹, triggering biometric stunting and oxidative stress. Furthermore, given that seed recalcitrance limits ex situ conservation, the species’ persistence relies strictly on a domestic monopoly of irrigation managed by women, who effectively subsidize the environmental deficit. The study concludes that the current backyard conservation model has hit its ecological ceiling; sustainability requires a transition toward landscape-scale NbS—specifically biocultural corridors governed by local female knowledge—to restore the multi-strata canopy required to regulate the species’ eco-physiological limits. Full article

Evapotranspiration (ET) links the water cycle with the energy balance and serves as a key driving process for ecosystem functioning and water resource management. Canopy conductance (Gc) plays a central role in regulating transpiration, but many models inadequately represent its regulatory mechanisms and show varying applicability across different land cover types. This study develops a remote-sensing ET estimation approach suitable for large scales and diverse land cover types and proposes an improved canopy conductance model for daily latent heat flux (LE) estimation. By integrating the canopy radiation transfer concept from the K95 model into the multiplicative Jarvis framework, an improved canopy conductance model is developed that includes limiting effects from photosynthetically active radiation (PAR), vapor pressure deficit (VPD), air temperature (T), and soil moisture (θ). Eighteen combinations of limiting functions are designed to evaluate structural performance differences. Using observations from 79 global flux sites during 2015–2023 and integrating multi-source datasets, including ERA5, MODIS, and SMAP, a two-stage parameter optimization was applied to determine the optimal limiting function combination for each land cover type. And nine sites from nine different land cover types were selected for independent spatial validation. Temporal validation within the optimization sites shows that, at the daily scale, the model achieves a Kling–Gupta efficiency (KGE) of 0.82, a correlation coefficient (R) of 0.82, and a Root Mean Square Error (RMSE) of 27.83 W/m², demonstrating strong temporal stability. Spatial validation over independent holdout sites achieved KGE = 0.84, R = 0.84, and RMSE = 22.53 W/m². At the 8-day scale, when evaluated over the holdout sites, the model achieves KGE = 0.87, R = 0.88, and RMSE = 18.74 W/m². Compared with the K95 and Jarvis models, KGE increases by about 34% and 15%, while RMSE decreases by about 38% and 12%, respectively. Relative to the MOD16 and PML-V2 products, KGE increases by about 32% and 16%, while RMSE decreases by about 33% and 17%, respectively. Comprehensive comparisons show that explicitly coupling canopy structure with multiple environmental constraints within the Jarvis framework, together with structure optimization across land cover types, can markedly improve large-scale remote-sensing ET retrieval accuracy while maintaining physical consistency and physiological rationality. This provides an effective pathway and parameterization scheme for producing ET products applicable across ecosystems. Full article

This study proposes a dual-shield framework to elucidate the capital structure dynamics within China’s policy-intensive real estate sector. We delineate a coercive policy shield wherein binding regulations supersede market-based incentives, and a proactive sustainability shield which recognizes how superior environmental performance can lead to reduced financing costs. Analyzing data from Chinese A-share firms during 2003 to 2021, we present robust evidence that supports both mechanisms. Notably, the effect of the debt tax shield is diminished in real estate sectors, underscoring the policy shield’s ability to negate traditional financial incentives. In addition, the macroprudential tightening implemented in 2017 has disproportionately disrupted leverage adjustments, especially among firms subsequently affected by the “Three Red Lines” policy. Rigorous quasi-experimental analyses additionally illustrate that green bond issuers experience a significant and enduring reduction in their cost of debt, thereby establishing a substantive sustainability shield. Our findings contribute to the literature on sustainable finance by conceptualizing approaches that extend beyond tax shields, effectively integrating regulatory and market forces to align the capital structures with objectives for sustainable transition. Full article

Oxidative stress and inflammation are two tightly interconnected processes that shape the physiological and pathological responses of aquatic animals to environmental and pathogenic challenges. Reactive oxygen species (ROS) act as key molecular mediators linking oxidative damage with immune activation, forming a bidirectional amplification loop in which oxidative stress triggers inflammation, and inflammation further enhances ROS production. This vicious cycle disrupts immune homeostasis, damages vital organs such as the liver, intestine, and gills, and ultimately increases disease susceptibility in aquaculture species. Recent studies have revealed that breaking this ROS–inflammation loop through integrated strategies, combining antioxidant enhancement, inflammation modulation, and immune regulation, can significantly improve stress tolerance and survival. Particularly in viral diseases, targeting the ROS–inflammation–virus replication axis has emerged as a promising approach for effective control. This review systematically summarizes the mechanistic crosstalk between oxidative stress and inflammation, highlights their biological consequences, and proposes mechanism-based prevention strategies for sustainable aquaculture health management. Full article

Urban green is a key component of municipal natural resources management (MNRM) in metropolitan areas, providing ecosystem services (ESs) related to climate regulation, environmental quality, and citizens’ well-being. However, these ESs are often weakly integrated into municipal management practices, and this may be due to the absence of structured accountability and reporting mechanisms. This study examines whether a topic-specific Environmental, Social, and Governance (ESG) reporting framework for urban green could support the integration of ecosystem services into MNRM. The research is based on semi-structured interviews with representatives from 23 municipalities across Greece, exploring awareness of ESG concepts, views on accountability and stakeholder engagement, and perceptions of urban green as a managed natural resource. The findings indicate broad recognition of the multifunctional role of urban green and strong agreement on the value of systematic reporting and accountability. At the same time, municipalities identify the lack of an appropriate reporting framework as a key constraint, alongside organizational and staffing limitations. Drawing on stakeholder and impression management theory, the study shows the respondents support that urban green ESG reporting can function as a governance tool, enhancing transparency and stakeholder involvement. A municipal ESG reporting framework is perceived as a tool that could support operationalizing ESs within local governance structures, contributing to a more effective MNRM. Full article

Tail docking, serving as an important management intervention in animal husbandry, plays a significant role in regulating tail fat deposition and improving production performance and health status in fat-tailed sheep. This study systematically revealed the reprogramming effects of tail docking on the epigenetic landscape and transcriptome of fat-tailed sheep by integrating whole-genome bisulfite sequencing (WGBS) and RNA m6A methylated immunoprecipitation sequencing (MeRIP-seq). At the DNA level, the tail-docked group exhibited a pronounced trend of hypomethylation across multiple functional genomic regions, including promoters, exons, and introns. Differentially methylated regions (DMRs) were significantly enriched in pathways related to tissue development and stress response, such as the Hippo signaling pathway and adherens junctions. Pyrosequencing validation of the promoter region of the key gene DGAT1 further confirmed the reliability of the WGBS data. At the RNA level, RNA m6A modifications showed an overall up-regulated pattern: the tail-docked group displayed higher numbers of m6A peaks, greater total peak length, and increased genomic coverage compared to the control group, along with better overall prediction of modification sites. Genes associated with differential m6A peaks were closely related to processes such as stem cell pluripotency and cytoskeleton regulation. qPCR validation of several methylation-related enzyme genes (e.g., METTL3, FTO, YTHDF1) yielded results consistent with the sequencing trends. Through integrated analysis of DNA methylation and RNA methylation, we identified 143 genes with concurrent changes in methylation and mRNA expression, among which 41 genes were regulated by both DNA and RNA methylation. These genes were primarily enriched in the adherens junction pathway. Notably, two core genes CITED4 and ZNF644 showed significant changes across all three levels: DNA methylation, RNA methylation, and mRNA expression. This study systematically elucidates the epigenetic mechanism by which tail docking stress induces coordinated DNA hypo-methylation and RNA m6A hyper-methylation to regulate transcriptomic reprogramming in response to environmental intervention. The findings provide novel insights into the molecular basis of trait formation in livestock. Full article

High-quality spectral filters with versatile tuning mechanisms are essential for applications in photonic integrated circuits, including sensing, laser stabilization, and spectral signal processing. We report the implementation of thermo-optic (TO) and electro-optic (EO) spectral tuning in silicon nitride Mach–Zehnder interferometers (MZIs) and micro-ring resonators (MRRs) by functionalizing the devices with a PMMA:JRD1 polymer cladding and integrating titanium tracks as heaters and electrodes. The fabricated MZIs and MRRs exhibit narrow linewidths of 25–30 pm and achieved TO tuning efficiencies of 1.7 and 13 pm/mW and EO tuning efficiencies of 0.33 and 1.6 pm/V, respectively. Closed-loop regulation using TO and EO effects enables stable half-fringe locking under environmental perturbations. This simple, broadly compatible hybrid platform demonstrates a practical approach to dual-mode spectral tuning and modulation in integrated photonic filters, providing a flexible route toward compact, reconfigurable, and environmentally robust photonic circuits. Full article

The immune status of dogs is shaped by continuous exposure to antigenic and various environmental stimuli, which together influence the development, regulation, and effectiveness of immune responses. Stress-related immune alterations may not be evident at the systemic level but can emerge at cellular and molecular scales. Therefore, this study aimed to comprehensively characterize the hematological and immunological profiles of dogs in different environments. We evaluated lymphocyte responses under basal conditions and following CD3/CD28-mediated in vitro activation, with subsequent long-term culture. Gene expression analyses targeted markers of early T cell activation, cytotoxic effector function, cytokine signaling, and inhibitory immune regulation. The memory phenotype of T lymphocytes was evaluated after blood collection and prolonged in vitro culture. In addition, hematological and biochemical profiles were assessed, including basic parameters, cortisol, and C-reactive protein. Our results revealed that client-owned dogs exhibited lower baseline expression of activation markers, especially in comparison with the short-term stay group, indicating an early immune activation state upon entry to the shelter environment. Furthermore, T lymphocytes from short- and long-term shelter dogs exhibited marked differences in the distribution of naïve and effector-memory subsets as well as different expansion capacity. These alterations persisted during prolonged in vitro culture, indicating that stress duration and environmental antigen exposure differentially shape immune responsiveness. In summary, chronic stress modulates canine immune status in a time-dependent manner, highlighting the importance of integrated cellular and molecular approaches in assessing the impact of environmental stressors on dogs’ health and welfare. Full article

Background: The emergence of artificial intelligence (AI) has triggered a global transformation, with the healthcare sector experiencing significant disruption and innovation. In current public health practice, AI is being deployed to power various aspects of public functions, including the assessment and monitoring of health, surveillance and disease control, health promotion and education, policy development and planning, health protection and regulation, prevention services, workforce development, community engagement and partnerships, emergency preparedness and response, and evaluation and research. Nevertheless, its use in leadership and management, such as in change management, process development and integration, problem solving, and decision-making, is still evolving. Aim: This study proposes the adoption of the Public Health AI Framework to ensure that inclusive data are used in AI development, the right policies are deployed, and appropriate partnerships are developed, with human-relevant resources trained to maximize AI potential. Implications: AI holds immense potential to reshape public health by enabling personalized interventions, democratizing access to actionable data, supporting rapid and effective crisis response, advancing equity in health outcomes, promoting ethical and participatory public health practices, and strengthening environmental health and climate resilience. Achieving this goal will require a deliberate and proactive leadership vision, where public health leaders move beyond passive adoption to collaborate with AI specialists to co-create, co-design, co-develop, and co-deploy tools and resources tailored to the unique needs of public health practice. Call to action: Public health professionals can co-innovate in shaping AI evolution to ensure equitable, ethical, and value-based public health. Full article

Age-related macular degeneration (AMD) is an increasingly prevalent source of permanent visual impairment in the aging population and is widely accepted as a multi-factorial neurodegenerative disorder of the retina. While there has been significant progress in treating neovascular AMD, there are currently no effective disease-sparing treatments for dry AMD and geographic atrophy. To date, research has begun to reveal the complex relationship between the environment and genetic predisposition in AMD pathogenesis. Various environmental factors responsible for AMD include oxidative stress, mitochondrial dysfunction, inflammation, abnormal complement activation, and epigenetic regulation, which interact dynamically to drive disease progression. This review summarizes recent data and provides a comprehensive model for understanding how these interacting factors lead to the progression of AMD from an early stage to advanced stages with complications associated with the disease. We highlight the central role of retinal pigment epithelial mitochondrial failure and impaired stress resilience as upstream drivers that amplify inflammation and complement-mediated injuries. We also discuss how dysregulated miRNAs and proteomic network remodeling contribute to disease heterogeneity. Emerging therapeutic strategies are reviewed in the context of molecular endotyping and personalized intervention. Finally, we outline future directions toward precision medicine in AMD, emphasizing early disease modification, rational combination therapies, and the need to bridge the translational gaps between molecular discovery and clinical trial design. Full article

As a pivotal component of the global carbon cycle, the spatial variation in soil respiration (Rs) is crucial for forecasting climate change trajectories. Despite extensive research on the spatial patterns of total Rs, the distinct drivers of its two components, heterotrophic respiration (Rh) and autotrophic respiration (Ra), are still not well defined. We compiled a global dataset from studies published between 2007 and 2023 to investigate the drivers of spatial variations in Rs, Ra, and Rh. This dataset comprises 308 annual flux measurements from 172 sites. The results showed that Rh contributed 63% and 60% to Rs in forest and grassland ecosystems, respectively. Further analyses using structural equation modelling (SEM) showed that the spatial variation in Rh and Ra exhibited divergent responses to climatic factors and plant community structure (mostly driven by gross primary production, GPP). Rh was more affected by mean annual temperature (MAT) than by mean annual precipitation (MAP), with standardized total effects of 0.17 (forests) and 0.57 (grasslands) for MAT versus 0.10 and 0.07 for MAP, respectively. In contrast, Ra exhibited greater sensitivity to MAP (0.08 and 0.18) than to MAT (−0.01 and 0.04). GPP exerted biome-specific effects: in forests, high GPP enhanced Rh (0.18) more substantially than Ra (0.08), while in grasslands, elevated GPP significantly increased Ra (0.34) but suppressed Rh (−0.30). Moreover, these variables incorporated into the SEMs accounted for a greater proportion of the variation in Rh and Ra in grasslands (R² = 0.73 for Rh, 0.48 for Ra) as compared to forests (R² = 0.21 for Rh, 0.22 for Ra), suggesting the greater complexity in forest soil C dynamics. By using the whole yearly measured soil respiration data around the world, this study highlights the differential environmental regulation of Rh and Ra, providing critical insights into the mechanisms governing Rs variations under climate change. Full article

Organic fruit and vegetable production in the United States is increasingly popular, driven by consumer interest in foods associated with healthier lifestyles and environmentally friendly practices. This review synthesizes evidence on the production of this subsector from 1960 to 2021, using major literature databases (Agricola, ScienceDirect, and Google Scholar), to summarize health and environmental implications, economic importance, research trends, and persistent challenges. The production of fruits and vegetables is frequently reported to exhibit favorable quality and safety attributes, including higher antioxidant capacity and lower levels of cadmium, pesticides, and other chemical residues, supporting its relevance to nutrition and human health. This type of practice is also described as contributing to environmental restoration and preservation through improved soil conditions, reduced reliance on synthetic inputs, enhanced nutrient cycling, and climate-smart benefits such as increased soil organic matter and lower energy intensity. Nevertheless, it faces constraints that increase costs and limit scalability, including high labor demand, limited effectiveness and availability of some organic pest control tools, perishability, post-harvest losses, certification burdens, and market access regulations. Despite these barriers, data indicate growth: from 2007 to 2021, acreage increased by more than 100%, farm-gate value rose from $685 million to $1913 million, and the number of participating farms increased by more than 100%. Moreover, it accounts for 0.9% of the total value of the agricultural production in the U.S. Overall, the outlook for U.S. organic fruit and vegetables is encouraging, supported by expanding consumer demand, government support, and improved conditions for international trade. Full article