Search Results (14,096)

The increasing agricultural and industrial use of rare earth elements (REEs) has raised growing concerns about their environmental accumulation and ecotoxicity, yet the molecular and epigenetic basis underlying their dose-dependent effects on crops remains poorly understood. In this study, soybean plants were foliar treated with Cerium (Ce) at 0, 5, 10, and 50 mg·L⁻¹. Growth, elemental uptake, genome wide DNA methylation, and gene expression were analyzed using ICP-MS, WGBS, and qRT-PCR. Low dose Ce (5 mg·L⁻¹) showed a hormetic effect, promoting growth and grain quality, whereas high dose Ce (50 mg·L⁻¹) markedly inhibited growth. Foliar absorbed Ce was poorly translocated to roots and seeds, thus reducing food chain contamination risk. Ce significantly altered methylation levels of CG, CHG, and CHH contexts in soybean leaves. Low Ce increased CG methylation, while high Ce decreased CHH methylation. Differentially methylated genes (Low-dose Ce induced 52 hypermethylated DMGs and 23 hypomethylated DMGs, while high-dose Ce induced 76 hypomethylated DMGs and 17 hypermethylated DMGs) were enriched in oxidation–reduction, DNA repair, and cell cycle pathways. qRT-PCR confirmed that Ce mediated toxic responses and growth by regulating methylation related enzymes, oxidative detoxification, and DNA repair genes. This study provides novel genome-wide bisulfite sequencing evidence linking foliar Ce exposure to context-specific DNA methylation reprogramming in a major legume crop. These results demonstrate that the dose-dependent phytotoxicity of Ce in soybean is associated with context-specific changes in genome-wide DNA methylation, supporting the safety evaluation and rational agricultural application of rare earth elements. Full article

Hexavalent chromium (Cr(VI)) contamination in agricultural soils poses a significant risk to environmental and food safety owing to its high mobility and acute toxicity. To investigate possible mitigation strategies, a greenhouse pot experiment was conducted using sandy loam and silty loam soils spiked with Cr(VI) at 30 mg kg⁻¹ and amended with natural clinoptilolite and modified HDTMA-Br (hexadecyl-trimethyl-ammonium-bromide) zeolite, while celery (Apium graveolens) was cultivated to assess chromium bioavailability and plant accumulation. Hexavalent chromium concentrations declined in all treatments (up to 88.2% in sandy loam and 73.5% in silty loam), indicating progressive reduction to Cr(III), although amendment effectiveness varied by soil type. In addition, celery accumulated extremely high chromium concentrations, particularly in sandy loam soil, where root Cr(VI) reached 1776 mg kg⁻¹, indicating substantial safety concerns. Translocation factor values were below 1 across treatments, indicating limited relocation of Cr from roots to shoots. In the zeolite treatments, Cr(VI) concentrations in aboveground biomass decreased; however, plant uptake was not completely inhibited. Nonetheless, the high bioaccumulation factor (Cr in plant over available Cr in soil) of as high as 34 in the Cr(VI)-amended treatment indicated an uptake potential under Cr load. We conclude that modified zeolite was successful in mitigating Cr(VI) uptake in plants. Further investigation on the effectiveness of the materials in open-field conditions is required to establish a remediation framework for Cr species Full article

Urban agglomerations have become the dominant spatial platform of urbanization, regional coordination, and economic transformation in China. Yet whether the expansion of agglomeration scale at the urban-agglomeration level alleviates or intensifies energy use remains insufficiently understood. Extending the scale of analysis from individual cities to integrated urban agglomerations, this study investigates 64 cities in four major Chinese urban agglomerations, including Beijing–Tianjin–Hebei, the Yangtze River Delta, the Pearl River Delta, and Chengdu–Chongqing, over the period 2006–2023. Using panel data models, this study examines the impact of the scale agglomeration within urban agglomeration on urban energy intensity. The results show that the overall agglomeration scale generated by urban agglomeration formation significantly suppresses energy intensity while indicating a robust energy-saving effect: every 10% increase in agglomeration scale is associated with a decline of approximately 0.0893 million tons of standard coal per CNY 100 million of GDP. This finding remains stable after addressing endogeneity concerns and performing a series of robustness checks. Mechanism analyses further suggest that this effect operates primarily through talent agglomeration, technological progress, and public transportation expansion. In addition, the energy-saving effect is more pronounced in smaller cities, cities with lower administrative rank, cities with weaker factor mobility, and cities characterized by poorer air quality but stronger public environmental attention. These findings contribute to the literature on urban agglomeration and green development by showing that the agglomeration scale within urban agglomerations can generate inclusive energy-efficiency gains, especially for relatively disadvantaged cities, thereby offering important implications for spatial governance and low-carbon transition in rapidly urbanizing economies. Full article

Antimicrobial resistance (AMR) is a growing global concern, exacerbated by the overuse of antibiotics in livestock farming. Honey bees (Apis mellifera), widely used as bioindicators of environmental contamination, may also serve as sentinels for monitoring the environmental spread of antibiotic resistance genes (ARGs). This study investigated the presence of ARGs and the gut microbiota composition of honey bees sampled from 11 apiaries located in a region of Northwestern Italy characterized by intensive livestock farming. PCR and Sanger sequencing analyses revealed a widespread presence of tetracycline resistance genes—particularly tetB and tetC—as well as occasional detection of blaTEM, qnrB, and int1 genes. tetB and tetC were also identified in three bacterial colonies isolated from bee guts, notably in Hafnia spp. 16S rRNA gene sequencing of the gut microbiota revealed dominance of genera such as Bartonella, Snodgrassella, Gilliamella, Bombilactobacillus, and Lactobacillus. Some samples showed shifts in the microbial diversity. The findings confirm the potential of honey bees as bioindicators for environmental AMR surveillance and underscore the need for further research to elucidate correlations between ARG presence and microbial community structure in honey bees from various ecological contexts. Full article

Opisthorchis viverrini infection remains a significant public health concern in Southeast Asia, particularly in rural communities of Northeast Thailand, where persistent environmental and behavioral factors sustain transmission. A quasi-experimental study aimed to identify environmental and behavioral risk factors for infection and to evaluate the effectiveness of a community-based intervention program. The intervention program study was conducted over 10 months and comprised three phases: baseline survey‚ health education intervention program implementation‚ and follow-up evaluation. The results were analyzed for the prevalence of parasitic infections, and multivariable logistic regression was performed to identify associated factors. The majority of study participants were female (67.94%)‚ aged 55 to 64 years (48.09%)‚ and farmers (89.31%). Parasitic infections‚ especially O. viverrini‚ substantially decreased during the follow-up period‚ and independent risk factors predicting infection included lower education‚ previous infection‚ raw fish consumption‚ and pesticide use‚ according to multivariable logistic regression analysis. This intervention considerably improved knowledge; mean knowledge score increased by 6.29 points (p < 0.001). Analysis of fecal sludge after treatment with the sand-drying system identified S. stercoralis larvae (20 eggs/L) and Taenia spp. eggs (12.4 eggs/g). These findings indicated that, despite treatment, integrated behavioral and environmental interventions can be effective in interrupting parasite transmission in rural endemic settings. Full article

Modern agriculture depends heavily on machinery to maximize operational efficiency and, consequently, profitability, but the wear-and-tear on the mechanical components of machinery due to ageing can lead to reduced efficiency, more downtime, and higher maintenance expenses, thus raising the operative costs. These problems have been addressed by the use of specific lubricant additives for machinery; however, additives have known disadvantages, such as compatibility restrictions and environmental concerns, which represent critical issues especially in case of possible dispersion in the environment. Modern industry is always looking for techniques and solutions to increase efficiency and productivity, and this study investigates the possible advantages of employing nanotechnology in lubricant formulations. Amongst all possible substances, SiO₂ nanoparticles are increasingly promising as lubricant additives due to their unique properties, which include heat resistance, high levels of stability, and good biocompatibility. Moreover, biolubricants, derived from renewable sources, offer an environmentally friendly alternative to conventional lubricants. This article contributes to the field of agricultural technology by demonstrating the potential of SiO₂ nanoparticles in formulations of biolubricants thought to be used in agricultural machines. Key degradation parameters, including density, viscosity, total acid number (TAN), total base number (TBN), oxidation, and elemental composition, were systematically analysed. The results showed that SiO₂ nanoparticles mitigate viscosity loss and density increase, optimize TAN and TBN, reduce oxidation of the biolubricants by up to 17.7% at 1.00 wt% SiO₂, and stabilize elemental composition during ageing. Nanoparticles remained uniformly dispersed without sedimentation for over 30 days. This provides insights that can prevent machinery performance degradation over time, reduce lubricant changes, and suggest a more sustainable and environmentally friendly lubrication solution, thus promoting more sustainable industry. Full article

The intensive use of agricultural inputs and the increasing incorporation of nano-materials into crop management practices raise concerns about their ecotoxicological interactions in plant systems. This study evaluated phytotoxicity, cytotoxicity, and genotoxicity in Allium cepa L. under experimental nano-agrochemical exposure scenarios combining two conventional nitrogen fertilizers—ammonium sulfate (AS) and urea—with silver nanoparticles (AgNPs). Biological responses were assessed across fertilizer concentrations (0.03–0.5 g/L), applied individually, simultaneously, and sequentially, to identify modulatory effects of AgNPs on plant proliferative activity and genomic stability. Results showed the relative stability of morphophysiological indicators associated with root growth, whereas cytogenetic biomarkers exhibited selective alterations under specific conditions. Significant increases in genetic damage markers were detected at intermediate ammonium sulfate concentrations, suggesting sublethal phytotoxicity windows not reflected by macroscopic growth parameters. In addition, modulation of the mitotic index and absence of generalized genotoxic effects in most combined or sequential treatments indicate that AgNPs primarily acted as modulators of proliferative responses rather than direct cytotoxic agents. Overall, these findings highlight the dynamic and non-linear nature of nano-agrochemical interactions in plant systems and underscore the importance of multibiomarker approaches for the early detection of genomic instability. The results provide experimental evidence relevant to the environmental risk assessment of nano-enabled fertilization strategies under realistic mixed-exposure scenarios. This study contributes to advancing the ecotoxicological understanding of emerging agricultural technologies and supports the need for further mechanistic research and field-based evaluations to guide the safe and sustainable use of nanomaterials in crop production. Full article

This article examines The Mark of Cassandra by Chingiz Aitmatov through the emerging framework of Blue Humanities. While most prior studies have approached Aitmatov’s ecological concerns from a land-based ecocritical perspective, this article shifts the focus to his engagement with oceanic themes and marine environments. By combining literary interpretation with ecological philosophy, the study suggests that The Mark of Cassandra goes beyond the limits of traditional environmental fiction. It presents the ocean not only as a setting but as a source of knowledge and ethical reflection. In this way, Aitmatov’s work seems to anticipate current global discussions on climate change, biodiversity loss, and environmental justice. The novel encourages readers to reconsider the human-centered worldview and adopt a more ecocentric approach. Through its marine symbolism and critical stance on human exploitation of nature, the text offers valuable insights into ecological ethics that cross both national and species boundaries. Overall, this article argues that The Mark of Cassandra is an important literary contribution that challenges the usual borders of ecocriticism and calls for a more integrated and holistic understanding of environmental issues. Full article

Polyvinyl alcohols (PVAs) are synthetic, water-soluble polymers widely used in industrial, medical, and personal care products. Their slow biodegradation raises concerns about potential impacts on marine ecosystems. This study examined how PVA exposure affects the blue crab Callinectes sapidus, an invasive species in the Mediterranean Sea. Crabs were exposed to three PVA concentrations (0.5, 5, and 25 mg L⁻¹) along with a control group, for periods of 10 and 20 days. Oxidative stress was assessed by measuring antioxidant enzyme activities, including superoxide dismutase (SOD), glutathione S-transferase (GST), glutathione peroxidase (GPx), and lipid peroxidation levels in muscle, gill, and hepatopancreas. Cell viability in the hemolymph and hepatopancreas was also evaluated. The results showed that hepatopancreas cells were more sensitive than hemolymph cells. Oxidative stress increased with exposure time and concentration, as indicated by elevated antioxidant enzyme activity and lipid peroxidation. After 10 days, early detoxification responses were observed, while after 20 days of exposure, clear dose- and time-dependent trends were evident, highlighting an intensification of physiological dysfunctions with increasing PVA concentrations and prolonged exposure duration. The histopathological observations showed limited alterations in muscle and hepatopancreas tissue but evident structural changes in gill tissues, particularly after prolonged exposure. The findings reveal a concentration- and time-dependent biological response to PVA, highlighting physiological changes at higher exposure levels and the need for further research on environmental consequences. Full article

Growing concerns over food security and greenhouse gas emissions present a dual challenge, as mitigation strategies for one often intensify the other. Nitrification inhibitors (NIs) have emerged as a promising approach to simultaneously reduce nitrous oxide (N₂O) emissions and enhance crop productivity. However, their effectiveness is highly dependent on environmental conditions. To systematically evaluate the environmental controls and the economic trade-offs associated with NI application, this study presents a systematic data synthesis of 196 peer-reviewed articles, assessing the performance of three widely used NIs: dicyandiamide (DCD), 3,4-dimethylpyrazole phosphate (DMPP), and nitrapyrin. The analysis quantifies the influence of key environmental factors (e.g., temperature, soil pH, soil moisture, and soil organic carbon) on NI biodegradability, nitrogen dynamics, and N₂O emissions. The results indicate that soil organic carbon has a limited effect on NI performance, whereas temperature emerges as the dominant controlling factor. Among the NIs evaluated, DCD and DMPP demonstrate the highest mitigation efficiencies, achieving N₂O emission rates as low as 10⁻⁶ and 10⁻⁵ kg ha⁻¹ d⁻¹, respectively. An integrated economic analysis further evaluates the cost-effectiveness of NI application across major cropping systems, including corn, rice, and wheat. The findings show that DMPP and nitrapyrin applications yield the highest net economic returns in corn and rice systems (up to 860 USD and 880 USD, respectively), while wheat systems without NI application remain less profitable (approximately 330 USD). Ultimately, this study demonstrates that the practical viability of NIs depends heavily on balancing input costs with crop-specific yield gains, rather than environmental benefits alone. While NIs offer substantial greenhouse gas mitigation potential, their widespread adoption requires careful, site-specific economic evaluation to ensure that yield improvements sufficiently offset the added application costs to achieve truly sustainable agricultural practices. Full article

Growing concerns about global climate change and its negative consequences for communities have put immense pressure on the building industry, which is one of the primary sources of greenhouse gas emissions. Due to the environmental issues associated with the manufacture of sustainable construction materials, alkali-activated concrete (AAC) has emerged as a competitive alternative to cement. To predict the compressive strength (CS) of AAC, four machine learning (ML) models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost), were employed in this study using 193 data points. The input variables include Precursor “P” (kg/m³), Blast Furnace Slag “BFS ratio”, Sodium hydroxide “Na” (kg/m³), silicate modulus “Ms”, water content “W” (kg/m³), fine aggregate “FA” (kg/m³), coarse aggregate “A” (kg/m³), and curing time “CT” (day), with CS (MPa) as the output variable. The dataset was checked for stationarity and then normalized to decrease data redundancy and increase integrity. Furthermore, three model combinations were developed based on the relationship between the input and target variables. The XGB-M3 model outperformed all other models with a high degree of accuracy, according to the study’s findings. Specifically, the Pearson correlation coefficient (PCC) was 0.9577, and the mean absolute percentage error (MAPE) was 14.95% during the calibration phase. SHAP, an explainable AI approach that provides interpretable insights into complex AI systems by assigning feature importance to model predictions, was employed. Results suggest the higher predictions from the XGB-M3 and RF-M3 models were largely driven by curing time (CT). Full article

Choosing a future career represents a complex developmental task, often accompanied by multiple concerns and anxieties. The Social Cognitive Career Theory and Life Design paradigm emphasize the importance of supporting individuals in managing career-related challenges. However, global stressors—such as the COVID-19 pandemic, the war in Ukraine, and increasing awareness of the climate emergency—have introduced new and multifaceted sources of uncertainty that are not adequately captured by existing instruments. This gap highlights the need for a psychometrically sound measure to assess emerging career-related concerns in the contemporary context. Accordingly, the study aimed to develop and validate the Career Concerns related to Perceived Environmental Challenges (CC-PEC Scale). Four studies were conducted. Study 1 employed exploratory factor analysis, supporting a three-factor structure (Career-related COVID-19 pandemic concern, Career-related war concern, and Career-related climate emergency concern). Study 2 confirmed this structure using confirmatory factor analysis and demonstrated measurement invariance across gender, supporting a hierarchical factorial model. Study 3 provided evidence of concurrent and discriminant validity through associations with related constructs. Study 4 offered preliminary evidence of stability and predictive validity using life satisfaction and flourishing as outcome variables. Overall, the findings support the CC-PEC Scale as a reliable and valid instrument for assessing career-related concerns linked to global environmental challenges. These results have important implications for research and career guidance interventions aimed at supporting young people’s career development in increasingly uncertain contexts. Full article

Concerns regarding the safety, environmental impacts, and long-term sustainability of pesticide-dependent crop protection have intensified interest in biological control, which suppresses pest populations using natural enemies (predators, parasitoids, and pathogens) within integrated pest management (IPM) programs. This bibliometric study maps the development of biological control research from 2000 to 2025 using records retrieved from the Web of Science Core Collection. The publication trends, collaboration structures, leading countries and institutions, core journals, keyword co-occurrence and clustering, citation bursts, and influential cited references were examined using CiteSpace and VOSviewer. The results show a pronounced increase in publication output after 2011, indicating rapid expansion and consolidation of the field in the last decade. Keyword analyses reveal a thematic shift toward ecosystem-based framing, reflected by the growing prominence of terms such as ecosystem services, habitat management, and ecological intensification, which emphasize landscape- and management-oriented approaches to enhancing pest suppression. Cited-reference patterns highlight the persistent influence of the foundational literature on habitat manipulation, landscape complexity, and conservation biological control. Despite the field’s growth, research gaps remain in integrating biological control with emerging bioengineering tools and explicitly accounting for climate-driven variability across regions and production systems. Full article

Substituted p-phenylenediamines (PPDs) and their quinone derivatives (PPD-Qs) are emerging contaminants associated with tire-related antioxidants and antiozonants and have raised increasing concern because of their potential environmental effects. However, information on their occurrence in estuarine systems, particularly their combined distribution in water and sediment, remains limited in the Pearl River Estuary. In this study, 30 water samples and five sediment samples collected from the Pearl River Estuary were analyzed for selected PPDs and PPD-Qs. Four target compounds were detected in water, whereas nine were found in sediments, indicating broader occurrence in the sediment phase. The total concentration of PPDs ranged from below the detection limit to 17.6 ng/L in water and from 0.140 to 1.37 ng/g in sediments. In water, 6PPD and 6PPD-Q showed relatively high detection frequencies, while elevated IPPD concentrations were observed at several sites near urbanized coastal areas. In sediments, the highest ΣPPDs level was recorded in Shenzhen Bay. The observed spatial patterns suggest that mixed anthropogenic inputs may influence the occurrence of these compounds in the estuary, although direct source attribution requires further investigation. Overall, this study provides preliminary baseline information on the occurrence and phase-specific distribution of PPDs and PPD-Qs in the Pearl River Estuary and supports future investigations into their environmental fate and ecological relevance. Full article

Effective supply chain planning increasingly requires balancing cost-efficiency with environmental responsibility, particularly as organisations face growing pressure to reduce the carbon footprint of logistics operations. This study develops a mixed-integer linear programming model to optimise inventory and transportation decisions in a multi-echelon distribution network comprising a central warehouse, regional warehouses, and retailers. The model integrates a continuous-review (r,Q) replenishment policy, stochastic demand, safety stock requirements, transportation lead times, and stockout behaviour, enabling a detailed representation of operational dynamics under uncertainty and environmental concerns. Unlike most sustainable inventory models—which typically treat environmental impacts and replenishment control separately or rely on simplified service assumptions—this study provides an integrated framework that jointly embeds (r,Q) policies, stochastic demand, stockouts and distance-based CO₂ metrics within a unified optimisation structure. The model advances prior work by explicitly integrating continuous-review (r,Q) replenishment policies with distance-based CO₂ metrics under stochastic demand, a combination rarely addressed in sustainable multi-echelon inventory models. A multi-objective formulation captures the trade-off between economic performance and CO₂ emissions, allowing the identification of Pareto-efficient strategies that reconcile financial and environmental goals. Reducing emissions by over 90% requires an additional cost of only about 4%, demonstrating that substantial emission reductions can be achieved at relatively low additional cost. The findings offer practical insights for managers seeking to design more sustainable and cost-effective distribution policies, highlighting the value of integrated optimisation approaches in contemporary logistics systems. Full article