Search Results (9,697)

Indoor exposure to particulate matter (PM) is increasingly recognized as a major contributor to respiratory and cardiovascular risk, yet the relative contributions of outdoor pollution, building characteristics, and occupant behavior remain poorly resolved. PM₁ (aerodynamic diameter < 1 μm) warrants focus due to its higher alveolar deposition. “Evidence driven indoor air quality improvement” (EDIAQI) project aims to enhance indoor air quality guidelines and increase awareness by providing accessible data on exposure, pollution sources, and related risk factors. As part of the Zagreb pilot within the project, 103 paired indoor/outdoor PM₁ samples were analyzed. Seasonal analysis revealed substantial wintertime outdoor PM₁ spikes, while indoor medians remained stable. Chemometric analysis identified factors such as dwelling size, outdoor pollution, resuspension, building age/heating type, and urban context. Among the tested models, the validated gradient-boosted regressor (GBR) achieved the strongest performance, explaining ~65% variance in indoor PM₁ (test R² ≈ 0.65). Explainable machine learning analysis (SHAP) identified outdoor PM₁ levels, infiltration, and resuspension as the most influential predictors. Findings underscore wintertime outdoor emissions (e.g., residential heating and traffic) and dwelling-related and behavioral factors as key drivers, with the machine learning–environmental data integration enabling targeted residential IAQ management: optimized ventilation protocols, resuspension mitigation via behavior, and infiltration reduction through retrofits. Full article

Plant-mediated CH₄ transport can enhance ecosystem CH₄ emission by transporting soil-produced CH₄. This pathway can exceed diffusion and ebullition as the dominant CH₄ emission route. However, limited studies have investigated the morphological and anatomical factors influencing CH₄ transport in plants. Through a series of manipulative experiments on the shoots and roots, this study examines the role of root and shoot structures in CH₄ transport and release in six widespread wetland species: Carex rostrata Stokes, Carex lasiocarpa Ehrh., Carex aquatilis Wahlenb., Iris pseudacorus L., Juncus effusus L., and Alocasia odora (Lodd.) Spach. CH₄ flux from all investigated species dropped significantly after clipping fine roots, while it did not change significantly after removing coarse roots. Shoot clipping and sealing significantly decreased CH₄ flux from the investigated Carex species, but not from the other species. Our results demonstrate the important role of fine roots in controlling CH₄ flux, whereas coarse roots play a minor role. Leaf blades are the major release site of CH₄ from Carex species, while micropores at the shoot base are the primary release site of CH₄ from the other species. Our study suggests that integrating plant-specific anatomical and morphological characteristics into global methane models is crucial to better predict and mitigate climate change impacts. Full article

This paper examines how openness of international trade is dynamically related to environmental sustainability in sixteen member states of the Southern African Development Community (SADC) between 2000 and 2024, taking into consideration institutional quality factors, economic development, and structural factors. The study uses the Panel Fully Modified Ordinary Least Squares (FMOLS), Pedroni panel cointegration tests, and quantile regression to examine the determination of per capita CO₂ emissions by using trade openness, GDP per capita, government effectiveness, energy use, natural resource rents, and urbanisation. The findings of cointegration prove a long-run equilibrium stability. FMOLS estimates show that trade openness positively but insignificantly increases the typically pooled long-run specifications through urbanisation and natural resource rents and negatively through GDP per capita, which is in line with the phase upper-Environmental Kuznets Curve. The outcome of quantile regression reveals a large distributional heterogeneity with the trade openness decreasing emissions only among high-emitting economies at the seventy-fifth and at the ninetieth percentile which is the imperative effect of the quantile technique demonstrating the need for country-differentiated trade and environmental policy across the SADC. Full article

Under ongoing climate change and rapid urbanization, urban hydrothermal regimes are being reshaped, intensifying drought hazards and increasing stress on urban forests. Yet, systematic assessments of drought-induced stability dynamics of urban vegetation remain limited. We identified drought events across 330 Chinese cities during 2000–2022 and quantified vegetation resistance and resilience using multi-source remote sensing data. Pronounced latitudinal divergence emerged: high-latitude cities showed lower resistance but higher resilience, whereas low-latitude cities exhibited stronger resistance but weaker recovery. Across climatic zones, resistance was greater in humid and arid cities, whereas resilience was stronger in sub-humid and semi-arid cities, indicating a climate-dependent trade-off between disturbance buffering and recovery capacity. From 2000–2011 to 2012–2022, resistance increased significantly, whereas resilience declined. Seasonally, resistance was lowest and resilience highest in summer. Drought severity and climatic background—especially drought intensity and duration—primarily governed stability patterns: stronger droughts reduced resistance but enhanced recovery. Anthropogenic factors, including population density, economic development, and CO₂ emissions, also played a significant role in shaping vegetation stability. These findings highlight the need for long-term drought monitoring and climate-specific urban forest management to strengthen ecosystem stability in rapidly urbanizing regions. Full article

Background: Manganese (Mn) is an essential trace element with antioxidant properties; however, excessive exposure may contribute to inflammation and vascular dysfunction. Hair analysis provides an indicator of long-term Mn exposure. This study evaluated the relationship between hair Mn levels, acute coronary syndrome (ACS), coronary artery disease (CAD) severity, and cardiovascular risk factors, with particular emphasis on metabolic status in a cardiometabolic population. Methods: Hair Mn concentration was measured using inductively coupled plasma optical emission spectrometry (ICP-OES) in 80 patients (mean age 67 ± 11 years; 28.8% women) undergoing coronary angiography for suspected ACS. Final diagnoses included stable CAD (N = 42) and ACS [ST-elevation myocardial infarction (STEMI) N = 17, non-ST-elevation myocardial infarction (NSTEMI) N = 12, and unstable angina (UA) N = 9]. CAD severity was quantified using the SYNTAX score and the Coronary Artery Surgery Study Score (CASSS). Associations with clinical variables were assessed using non-parametric tests and Spearman correlations. The median SYNTAX score was 13.8 (range 0.0–68.5), and the median hair Mn concentration was 0.22 ppm (range 0.01–1.65). Results: SYNTAX scores were higher in ACS than in stable CAD (p = 0.027), with the highest values observed in NSTEMI. Hair Mn levels did not differ among diagnostic groups and showed no association with CASSS or SYNTAX (R = −0.11; p = 0.348). No differences were detected with respect to sex, smoking, prior myocardial infarction, hypertension, hyperlipidemia, or type 2 diabetes. A modest inverse correlation was observed between hair Mn and body mass index (BMI) in unadjusted analysis (R = −0.25; p = 0.03), but this association was not robust after correction for multiple comparisons, suggesting a potential exploratory link between manganese homeostasis and cardiometabolic status. Conclusions: Although hair Mn concentration was not associated with angiographic indices of CAD severity or ACS subtypes, the observed relationship with BMI may indicate a role of Mn homeostasis in cardiometabolic regulation. Larger prospective studies are required to clarify these associations. Full article

Contamination of agricultural soil by potentially toxic elements (PTEs) can be caused by volcanic emissions and the use of agrochemicals; this threatens human food security, as PTEs can be transferred from the soil to plant tissues. Sorghum is the fifth most important cereal crop worldwide, and Mexico is one of the countries with the highest sorghum production. However, these crops are vulnerable to pests; thus, agrochemicals are applied to eliminate them. In this study, the identification and translocation of PTEs into sorghum plants grown in urban and volcanic areas of central Mexico were evaluated. Sorghum plants and soil samples were collected at four sites (S1, S2, S3, and S4) in these areas. The concentrations of PTEs in the soil samples and in the different tissues of the sorghum plants were determined by inductively coupled plasma optical emission spectroscopy. It was found that these sites are contaminated with PTEs, which were attributed to volcanic emissions and anthropogenic activities. In addition, the translocation factor values for zinc, nickel, and manganese showed that these PTEs were retained in the roots of the sorghum plants; however, the average concentrations of these PTEs in the grains of the plants were higher than the translocation factor values. This result indicates that the aerial parts of the sorghum plants could have been contaminated with PTEs from the air, which could then enter humans throughout the food chain. Full article

Soil CO₂ emissions are critical for predicting terrestrial ecosystem feedbacks to climate change, yet significant knowledge gaps persist regarding carbon flux dynamics within the deep vadose zone and during freeze–thaw processes. In this study, the Mu Us Sandy Land, a representative seasonally frozen and semi-arid region in Northwestern China, was selected as the research site. Based on in situ observation data and the XGBoost algorithm, the spatiotemporal variations of soil carbon flux and its environmental drivers were investigated. Results revealed distinct depth-dependent patterns, where carbon release reached its maximum flux in the 100–200 cm layer and carbon sequestration dominated the soil layers below 200 cm. Soil temperature and moisture were the primary controlling factors, but their impacts exhibited significant depth and seasonal heterogeneity. Notably, in the 20–50 cm soil layer, soil water content provided the highest explanatory power, reaching 55.3% and 47.8% in winter and summer, respectively. Furthermore, carbon fluxes exhibited distinct response thresholds to environmental factors, and their spatiotemporal variations were fundamentally regulated by an atmosphere-driven coupled water–vapor–heat–carbon process. These findings elucidate the complex relationship between soil carbon fluxes and the environment at different depths, providing theoretical support for deepening the understanding of regional carbon cycling. Full article

Background/Introduction: Standardized staging imaging for Langerhans Cell Histiocytosis (LCH) is lacking. This study aims to identify patient and disease factors that influence imaging selection and propose a clinical decision algorithm that supports more deliberate, radiation- and cost-conscious use of imaging. Methods: A retrospective review of patients with biopsy-proven LCH, evaluated at a single institution, was conducted from 2001 to 2025. Age, sex, and presenting location at diagnosis were compared across imaging groups (Positron emission tomography/computed tomography [PET/CT], bone scintigraphy, and skeletal survey). Disease extent (unifocal, multifocal, multisystem) was summarized according to the imaging modality each patient received. Results: The cohort included 78 patients: 30 PET/CT, 11 bone scans, and 37 skeletal surveys. Median age differed significantly by modality: PET/CT 34 years (interquartile range [IQR] 8–56) vs. bone scan 13 years (3–37) vs. skeletal survey 7 years (2–14) (p < 0.001). Imaging selection varied significantly by anatomic location (p = 0.016): bone lesions were assessed with skeletal survey (52.8%), PET/CT (28.3%), and bone scan (18.9%). All pulmonary cases received PET/CT imaging. Six of the 78 patients had multisystem disease, and all six had been staged with PET/CT (Fisher’s exact p = 0.006, PET/CT vs. skeletal survey; Bonferroni-adjusted p = 0.018). Conclusions: In addition to age, the initial presentation site influences the choice of imaging modality. Given the higher radiation burden and cost of PET/CT, further research is needed to determine whether this observed practice pattern translates to improved clinical outcomes. Full article

The large-scale accumulation of steel slag from steelmaking and the over-exploitation of natural aggregates pose significant environmental and resource challenges. Focusing on the arid-cold region of Xinjiang, China, this study proposes the use of steel slag as a substitute for natural aggregates in pavement engineering. Through experimental performance evaluation and regionalized life cycle assessment (LCA), the technical feasibility and carbon reduction potential of this application were comprehensively evaluated. Results indicate that steel slag asphalt mixtures meet or exceed specification requirements in terms of high-temperature stability, water stability, and low-temperature crack resistance. However, volume stability decreases slightly with higher steel slag content and finer particle size, necessitating pretreatment for long-term durability. A local life cycle assessment model considering regional transportation factors was applied to the G30 Luhuo Expressway project. During the materialization stage, steel slag was used to replace 30% of the natural aggregates, reducing approximately 6718 kg of carbon dioxide equivalent emissions (31.4%). This, to some extent, reduced the extraction of natural resources, saved land resources, and alleviated the problems of resource shortage and price fluctuations. Sensitivity analysis reveals a positive correlation between carbon reduction and steel slag content, while transport distance strongly influences overall benefits, with a critical threshold of about 78 km defining the effective utilization range. Furthermore, a multi-objective optimization model balancing service life, cost, and carbon reduction was developed to identify an optimal steel slag content scheme, maximizing comprehensive benefits under constrained conditions. This work confirms the technical viability of steel slag pavement in extreme climates and provides a systematic framework integrating environmental benefits and logistical constraints, supporting regional industrial synergy and promoting circular economy practices in low-carbon infrastructure. Full article

Construction materials are the primary source of embodied carbon in long-span bridge projects, particularly for steel-intensive structures. This study presents an empirical construction-stage carbon footprint assessment of the Anhsin Bridge, an asymmetric cable-stayed steel truss bridge in Taiwan. Using the emission factor method in accordance with ISO 14067 and Taiwan Environmental Protection Administration guidelines, a cradle-to-gate (A1–A5 equivalent) system boundary was applied, covering material production, transportation, and on-site construction activities. Total construction-stage emissions were estimated at 55,349 tCO₂e, dominated by structural steel (51.8%), followed by reinforcing steel, concrete, and cement. Material-related emissions accounted for over 90% of the total, highlighting the critical role of material selection in embodied carbon reduction. Three practical mitigation strategies were evaluated using verified project data, as follows: 40% cement substitution with supplementary cementitious materials, optimized steel erection methods, and enhanced reuse of formwork and temporary works. The combined scenario achieved a 7.3% reduction in construction-stage emissions without compromising constructability. The findings demonstrate the effectiveness of material-oriented, constructability-aware strategies for reducing embodied carbon in steel-intensive bridge construction. Full article

In livestock-grazed pastures, urine patches are a major contributor of nitrous oxide (N₂O) emissions, and the use of nitrification inhibitors (NIs) has the potential to reduce N losses from urine patches using New Zealand (NZ)-devised Spikey^®—a ground-based machine that measures the change in soil conductivity from the deposited urine patches. Our ongoing research suggests that the efficacy of on-farm targeted NIs treatment requires suitable inhibitor concentrations within urine patches to be achieved to reduce N₂O emissions. This study evaluates the effect of varying NI rates and volumes on reducing N₂O emissions. The application rates for NIs were 1.6 g and 3.2 g dicyanamide (DCD) patch-1 and 0.96 g and 1.92 g of 3, 4-dimethylpyrazole phosphate (DMPP) patch⁻¹, using 100, 150, and 200 mL inhibitor solutions. These rates were higher than those used in previous studies to ensure an adequate supply of inhibitors above the threshold concentration within the urine patch and to enhance the inhibitor efficacy in reducing N₂O emissions. This study points to two important aspects: Determine the optimum inhibitor concentration required to eliminate, minimise/reduce N₂O emissions and ensure that at the optimised amounts of inhibitor application rates, inhibitor residues are below their maximum residue level (MRL) in the food chain and environment, and eliminate their potential harm to human health. Full article

The aim of the paper was to analyse the genesis of the idea of carbon footprint (CF) reporting, the current EU regulations in force in this regard, and to provide a concrete example of practical measures in poultry production. The CF is the total sum of greenhouse gas (GHG) emissions generated directly or indirectly by an organisation, product, service, event or human activity, expressed as a CO₂ equivalent. Livestock production accounts for 12% to 14.5% of global methane and nitrous oxide emissions. GHG emissions from livestock production are closely linked to the species of animals; the highest CF values apply to products derived from ruminants, but poultry is also considered an environmental threat, inter alia due to the production scale. The CF of poultry production is not uniform and depends on many factors, including the farm location and climatic conditions of the region, the profile of production, its stage, the birds feeding and CF method of analysis. Industrial development is a continuous process that must align with the principles of sustainability and EU climate policy; therefore, it is necessary to look for and implement solutions to reduce its emissions in line with evolving European legal standards. Full article

Electromagnetic treatment (EMF) can stimulate seed germination and plant development, including mitigating the negative effects of stressors. One non-invasive approach to detecting the early effects of EMF exposure is the study of gas exchange dynamics during the seed imbibition stage. Gas chromatography was used to assess the effect of low-intensity non-thermal EMF on the concentration of H₂, O₂, CO₂, and NH₃ gases in the “soil–pea seed” system under optimal conditions and under salt stress. EMF treatment exhibited a variant-dependent effect. Under optimal conditions, it stimulated respiration (O₂ concentration decreased by 12%, CO₂ increased by 15%); under salinity, the concentration of both gases decreased by 8–10% relative to the control. H₂ emission proved to be a sensitive biochemical marker of the response to external factors. Under optimal conditions, EMF treatment nearly tripled H₂ emission and shifted its emission peak one day earlier, which may indicate accelerated mobilization of the seed’s defense systems under developing hypoxia. Salinity reduced H₂ levels by an order of magnitude, while EMF treatment stabilized the H₂ emission rate, reducing it by almost half. Thus, EMF should be regarded as a modifier of the seed’s metabolic response to imbibition conditions, rather than solely as a germination stimulant. Full article

In order to provide an innovative form of urban air mobility, a new and versatile generation of small, highly automated aircraft is currently being developed. This is made feasible by the development of new technologies such as electrified powertrains, Vertical Take-Off and Landing capabilities and distributed propulsion systems. The operation of these novel aircraft types will generate a new source of air traffic noise. In particular, the perception of noise and the annoyance caused by these aircraft and their distributed propulsion systems are likely to deviate from those of conventional aircraft and will also depend on psychoacoustic effects. Thus, the noise emission and its subjective perception will be key factors for the success of urban air mobility vehicles and their acceptance by society. In order to investigate acoustic effects that enable low-noise aircraft design, a multidisciplinary approach is applied to develop new aircraft concepts for urban air mobility. This approach includes the conceptual design of two vehicles, one vehicle with tilt-rotors and one with tiltable, ducted fans; the sizing of an electric powertrain; the design and manufacturing of a wingtip rotor; and the design and manufacturing of the low-speed ducted fans. This paper presents the design of the two vehicle architectures, including their electric powertrain, as well as the aerodynamic and acoustic performance of the rotor and fan. Full article

Sustainable economic development involves reducing heavy reliance on fossil energy resources and their associated environmental impacts. The complexity of this task increases significantly in oil-producing countries, given the hydrocarbons’ role in economic growth, GDP, and exports. In such cases, decoupling economic growth, energy consumption and emissions should be achieved gradually to ensure a smooth transition, which will require the development of a reliable approach. This study aims to develop a strategy to identify potential pathways for economic growth and energy decoupling in the oil industry. Given the characteristics of the transition process, the feasibility of long-term solutions remains uncertain, and special measures are needed to enhance the reliability of decisions. An approach that combines assessing the economic–environment–emissions nexus, developing fuzzy transition scenarios, and applying multi-criteria and probabilistic decision-making methods has been designed to identify reliable pathways for the energy transition and sustainable development in oil-dependent countries. This allows us to create reliable and compromise scenarios that consider social, technological, environmental, economic and political factors. This study employed Azerbaijan as a case study. Analysis of key indicators revealed strong correlations between country GDP, energy production, and emissions. The MCDM calculations of the obtained feasible scenarios show the optimality of the scenario assuming a decrease in oil production while maintaining natural gas as usual, significantly increasing solar, and moderately increasing wind and hydro energy production. Decisions reflect global economic and energy-sector trends, expert opinions, and the current realities of Azerbaijan’s economy. Full article