Search Results (6,551)

Sudden tailings dam breaches trigger large-scale heavy metal compound pollution in coupled surface water–groundwater systems, requiring systematic full-cycle ecological damage quantification tools applicable to diverse contamination types. This study constructs an integrated full-cycle ecological damage assessment framework for sudden water pollution accidents, integrating three core modules: multi-model pollutant migration prediction, multi-scale aquatic biological damage diagnosis, and three-dimensional ecological-economic loss accounting. The framework adopts a modular design that can potentially accommodate heavy metals (Cd, Cr, As, Pb) and organic pollutants such as polycyclic aromatic hydrocarbons (PAHs), with standardized molecular, individual, and population-level biological endpoints and corresponding pollutant dose–response templates reserved as reference calculation modules. However, applicability beyond this case has not been validated and requires case-specific calibration. To verify the operability and accuracy of the proposed integrated system, a typical tailings dam leakage incident dominated by hexavalent chromium (Cr(VI)) and arsenic (As) pollution was selected as the practical validation case; all field monitoring, pollutant simulation, and final economic loss quantification in this case exclusively rely on on-site measured Cr(VI) and As data, while Cd and PAH-related biological response curves and remediation cost formulas retained in the manuscript only serve as illustrative universal template components of the framework rather than case-measured results. For the Cr(VI)/As pollution case, the advection–diffusion model simulation revealed that the Cr(VI) contamination plume horizontally spread 250 m within 48 h and extended to 560 m after seven days, and anaerobic groundwater environments drove the transformation of toxic mobile trivalent arsenic (As(III)) from primary pentavalent arsenic. The calibrated SWAT model achieved Nash–Sutcliffe efficiency (NSE) coefficients of 0.75 for dissolved Cr(VI) and 0.68 for particulate As. The graph theory-based rapid prediction model cut computation duration down to minutes; when validated against independent field monitoring data, it yielded an average relative error of 14.2%, and its consistency with the SWAT model reached 10.5% relative deviation, satisfying the accuracy requirement for emergency early warning. Field biological monitoring demonstrated substantial ecological impairment: metallothionein (MT) expression in fish tissues was markedly elevated (the reported 6.2-fold induction value derives from standard Cd exposure template tests within the framework, with analogous MT upregulation also observed for field Cr(VI)/As co-stress), and benthic community Shannon diversity declined by over 50% in polluted river reaches. The standardized Ecological Damage Index (EDI) of the case was calculated as 480.2, indicating severe aquatic ecosystem damage, with total comprehensive ecological and economic losses reaching 17.25 million CNY. This study innovatively couples high-precision physical transport models with fast emergency prediction algorithms and establishes a complete multi-tier biological indicator chain linking molecular biomarkers to community integrity metrics; the three-dimensional loss accounting system integrating ecosystem service impairment, restoration expenditure, and post-pollution recovery loss realizes closed-loop full-cycle damage evaluation. The proposed framework, demonstrated for Cr(VI) and As pollution, has a modular design that may potentially be extended to other pollutants such as Cd and PAHs by adjusting model parameters, providing a quantitative reference for emergency disposal, pollution remediation, and ecological compensation of water contamination accidents, although further validation across different pollutants and hydrological settings is required. Full article

Gut microbiota plays an important role in host metabolism, immunity, and environmental adaptation, yet its response to contrasting wintering habitats in migratory waterbirds remains poorly understood. We compared the gut microbiota of whooper swans (Cygnus cygnus) wintering in a natural riverine habitat (Swan Bay, Hejing County) and an urban wetland habitat (Worker’s Park, Korla City) in Xinjiang, China. A total of 34 fresh fecal samples were analyzed using 16S rRNA gene sequencing. We identified 2207 operational taxonomic units (OTUs), of which 734 were shared between habitats, indicating the presence of a conserved core microbiota. The urban wetland group exhibited a significantly higher Simpson index, whereas beta diversity analysis revealed significant differences in community structure between habitats (p < 0.05). Both groups were dominated by Firmicutes, Fusobacteriota, Proteobacteria, Campylobacterota, and Bacteroidota, although their relative abundances differed markedly. LEfSe analysis identified distinct habitat-associated taxa, and PICRUSt2 prediction suggested greater enrichment of metabolism-related pathways in the natural riverine group. Overall, wintering habitat was associated with differences in gut microbial composition and predicted function, providing new insight into the ecological adaptation of migratory waterbirds under contrasting environmental conditions. Full article

The earliest gut and nasal bacterial community profiles after birth remain incompletely characterized, particularly when both sites are examined in parallel. We aimed to characterize these profiles according to delivery mode within the first 48 h of life in a Mexican cohort. Meconium and nasal wash samples from 60 neonates (30 vaginal and 30 cesarean deliveries) were analyzed by V3–V4 16S rRNA gene amplicon sequencing on an Illumina MiSeq platform, followed by QIIME 2 processing. All 60 meconium samples yielded analyzable 16S rRNA profiles. Nasal washes yielded analyzable profiles in 10/30 vaginally delivered and 12/30 cesarean-delivered neonates (p = 0.79). No statistically significant differences in alpha diversity were detected by delivery mode in gut samples (observed ASVs, p = 0.842; Shannon index, p = 0.183; Pielou’s evenness, p = 0.121; Faith’s phylogenetic diversity, p = 0.574) or nasal samples (p = 0.356, 0.947, 0.644, and 0.114, respectively). In unadjusted PERMANOVA comparisons, gut community structure differed by delivery mode for Bray–Curtis (p = 0.001), weighted UniFrac (p = 0.021), and unweighted UniFrac (p = 0.013) distances, whereas nasal comparisons were not statistically significant. Traditional ANCOM identified Staphylococcus as the feature with the highest W statistic in cesarean-delivered neonates (W = 65). Descriptive phylum-level profiles were examined across maternal urinary tract infection, premature rupture of membranes, maternal comorbidities, maternal BMI, hours since birth, and recorded antibiotic exposure; these comparisons were not multivariable and cannot exclude residual confounding. Delivery mode was associated with differences in early gut bacterial community structure in this cohort. Nasal findings were inconclusive because only 22 washes yielded analyzable 16S rRNA profiles and the workflow was not optimized to quantify ultra-low-biomass bacterial DNA. These cross-sectional data do not establish persistence, causality, or the timing at which nasal communities become stable. Full article

Background/Objectives: Social determinants of health are implicated in metabolic dysfunction–associated steatotic liver disease (MASLD), yet longitudinal evidence on incident disease is scarce, and whether individual- and community-level determinants act independently remains unclear. The objective of this study was to examine whether individual food insecurity and neighborhood deprivation are independently associated with incident MASLD. Methods: In this retrospective cohort of 40,693 U.S. adults without baseline MASLD in the diverse NIH All of Us Research Program, food insecurity (two-item Hunger Vital Sign) and neighborhood deprivation (validated five-domain composite) were co-primary exposures, with incident MASLD ascertained from validated diagnostic codes. Proportional hazards models were adjusted for demographic, socioeconomic, and metabolic factors, including obesity. Results: Over 116,220 person-years, 1240 (3.0%) participants developed MASLD. Both associations remained significant after adjustment for demographic, socioeconomic, and major metabolic risk factors, including obesity (food insecurity adjusted hazard ratio [aHR] 1.32, 95% CI 1.13–1.53; neighborhood deprivation aHR 1.20, 95% CI 1.05–1.37). Unadjusted cumulative incidence was highest among participants with both exposures and lowest among those with neither. Findings were consistent across sensitivity analyses; the food-insecurity association remained when neighborhood disadvantage was specified with a census-based index. Conclusions: Food insecurity and neighborhood deprivation were independently associated with higher incidence of MASLD. Nutrition-focused, equity-oriented interventions warrant evaluation to reduce MASLD burden and advance health equity. Full article

The genus Sigara Fabricius, 1775 (Hemiptera: Corixidae) is an important freshwater bioindicator, but its conservative morphology complicates traditional species identification. This study combines DNA barcoding, traditional taxonomy, and climatic factors within an integrative framework to provide new insights into species delimitation. We analyzed cytochrome c oxidase subunit I (COI) sequences from 501 Sigara specimens collected from 15 countries, including 95 newly generated COI barcodes. Our integrated approach included phylogenetic analyses, genetic distance assessments, and ecological niche modeling. The results revealed remarkable diversity, with sequences clustering into 46 Barcode Index Numbers (BINs). COI genetic distances showed a pronounced bimodal pattern, with most intraspecific divergences below 1% and interspecific divergences mainly ranging from 8–16%, while the few intermediate divergences (4–8%) suggested potential cryptic diversity or recent species divergence. Most morphologically defined species corresponded to distinct molecular lineages, supporting traditional taxonomy, whereas some morphospecies exhibited genetic discordance potentially associated with species divergence. Integrative analyses revealed that climatic factors, particularly isothermality and seasonal temperature and precipitation, are major drivers of Sigara MOTU distributions, highlighting the important role of climate in shaping their geographic patterns. These findings indicate that although COI barcodes are not sufficient to define the species boundaries of Sigara alone, they provide a key entry point for the accurate division of species, which in turn promotes the development of molecular tools for freshwater ecological monitoring and conservation. Full article

To explore the optimization effects of fixed aquatic water treatment materials combined with immunomodulatory agents on the ecosystem and farming efficiency of Litopenaeus vannamei in high-water-level ponds, this study established experimental ponds (with fixed aquatic water treatment materials and feed supplemented with chitosan oligosaccharides) and control ponds (no fixed water treatment materials applied, fed with basal feed only). Through a comparative trial over a complete farming cycle, the study systematically analyzed changes in plankton community structure and diversity, water physicochemical factors, shrimp growth performance, immune indicators, and muscle nutritional composition. The results showed that in the experimental group, diatoms (Ditylum brightwellii and Skeletonema) dominated the plankton community, while the density of harmful blue-green algae (Oscillatoria and Trichodesmium) significantly decreased, and planktonic animal diversity improved in the later stages. Among the water physicochemical indicators, the experimental group exhibited a 50% reduction in nitrite levels by the later stages, significantly higher than the 33.33% reduction in the control group. Total ammonia nitrogen levels remained lower than those in the control group, with a smaller increase in the later stages. Total phosphorus levels were significantly lower in the experimental group after 80 days, and the later-stage decline in chemical oxygen demand was 11.65% higher than that in the control group. Shrimp body weight increased significantly by 13.23%, while hepatosomatic index, musculosomatic index, and immune enzyme (acid phosphatase and total antioxidant substances) activity also improved markedly. The content of unsaturated fatty acids (linoleic acid and oleic acid) in the muscles significantly increased. The study demonstrated that the combined application of fixed aquatic water treatment materials and chitosan oligosaccharide preparations can optimize the farming water environment, enhance shrimp growth performance and quality, and provide technical support for the ecological cultivation of Litopenaeus vannamei. Full article

Marine fungi associated with sponges and brown algae are promising sources of pharmacologically active compounds. This study investigated the cytotoxic potential and metabolomic profiles of fungal strains isolated from the marine environment of Mauritius. Among the twenty extracts screened, the mycelium extracts were more cytotoxic than the broth extracts. Four extracts demonstrated the most potent activity: Aspergillus chevalieri (F2M), Aspergillus ochraceus (F25M) and Biatriospora sp. (F34M, F34B). The algal endophyte Aspergillus chevalieri (F2M) mycelium extract displayed an IC₅₀ of 14.27 ± 1.22 µg/mL after 24 h against HepG2 cells. The sponge-associated fungi Aspergillus ochraceus (F25M) showed promising cytotoxic activities against HepG2 cells (IC₅₀ of 8.775 ± 0.78 µg/mL) after 24 h of treatment, with a selectivity index of 2.27, and had the lowest IC₅₀ (2.49 ± 0.60 µg/mL after 24 h; 7.14 ± 3.14 µg/mL after 48 h) against FLO-1 cells, also reducing tumor spheroid growth and integrity during the first four hours. All four extracts increased the intracellular ROS production, but only the mycelium extract of A. chevalieri (F2M) significantly increased superoxide dismutase (SOD) and catalase (CAT) activity. Metabolomic profiling identified diverse compound classes, including alkaloids, terpenoids, amino acids, anthraquinones and coumarins. The findings revealed that the marine fungi from Mauritius are promising sources of cytotoxic metabolites that require purification and subsequent confirmation and mechanistic studies. Full article

Accurately identifying influential nodes is essential for analyzing network structures and optimizing information propagation. Existing methods predominantly rely on single indicators such as degree, H-index, or k-shell, inherently limiting their ability to capture a node’s true influence. Recent hybrid centrality approaches attempt to address this by combining multiple local and global attributes; however, they typically integrate features through simple weighting or superposition, failing to characterize the intrinsic synergy among structural properties. Furthermore, they often quantify neighbor contributions too coarsely, overlook the regulatory role of edge strength, and some suffer from high computational complexity, limiting scalability. To overcome these deficiencies, we propose WKDH, a novel influential node identification method based on multi-attribute neighbor contributions. WKDH fuses local structural attributes (degree and H-index) with global structural attributes (k-shell) via a multiplicative weighted synergy model, simultaneously capturing local connection “quantity,” local connection “quality,” and global core-layer position. By transforming neighbors’ comprehensive characteristics into regulated contribution degrees, WKDH mitigates excessive self-attribute interference and accurately reflects the actual propagation potential of edges. Notably, the method achieves linear computational complexity of $O\left(m\right)$. Experimental results on nine real-world and six artificial networks demonstrate that WKDH outperforms nine established indicators in terms of node influence ranking, identification of high-influence nodes, and measuring propagation capability. Moreover, WKDH exhibits strong universality across diverse network structures, as it operates without parameter tuning. Full article

Machine learning and statistical classification methods are widely applied to microbiome data for diagnostic, prognostic, and phenotypic insights. However, the complex, multivariate nature of microbiome communities makes it difficult to assess the relative performance of these methods. Most comparisons rely on a small number of published datasets, without considering their underlying ecological properties or how these properties may, in turn, influence classification performance. We introduced a coenocline-based simulation framework to generate synthetic microbiome datasets that incorporate realistic ecological variation arising from species’ responses to host-associated gradients such as disease severity. To evaluate the ecological fidelity of these simulations, we compared synthetic datasets to five widely used real-world microbiome datasets: Cirrhosis, Colorectal Cancer (CRC), Type 2 Diabetes (Chinese and Women cohorts), and the Human Microbiome Project (HMP). Comparisons across α-diversity (species richness), β-diversity (species composition and turnover), and abundance distributions demonstrated that coenocline simulations closely recapitulate the key ecological structures of empirical data. Synthetic datasets exhibited similar richness and abundance patterns to disease-associated microbiomes, with realistic distributions of few dominant and many rare taxa. Moreover, community composition analyses (Bray–Curtis index) revealed that the simulated datasets captured natural levels of compositional dissimilarity among samples, spanning the same variability range observed in real data. When compared against 100 independently simulated datasets, the coenocline model consistently reproduced empirical ranges of species diversity, relative abundance, and between-group compositional differences (ANOSIM-R values), confirming the model’s robustness and reproducibility. This coenocline-based simulation framework provides a novel, flexible, and ecologically grounded approach for generating synthetic microbiome data with controlled complexity. By reproducing realistic ecological gradients and community structures, the framework supplies the controlled test beds needed for systematic future benchmarking of machine learning and statistical classification methods across diverse and biologically meaningful scenarios. In doing so, it will help bridge the gap between ecological realism and computational modeling, thereby supporting more reliable and generalizable inference from microbiome data. Full article

Blastocystis is a common intestinal protist whose clinical and ecological significance remains uncertain. This secondary exploratory analysis examined Blastocystis PCR detection in paired baseline and Week 12 stool samples collected during a randomized pilot intervention comparing daily goat-milk and cow-milk consumption. Nineteen healthy Greek Cypriot adults provided 38 stool samples. Stool DNA was screened by PCR targeting a partial 18S rRNA gene fragment, and positive amplicons were Sanger sequenced for subtype assignment. Blastocystis was detected at both time points in 3 of 19 participants (15.8%); ST2 was identified in two participants and ST4 in one. No Cryptosporidium spp. or Giardia duodenalis PCR-positive samples were identified. In exploratory 16S rRNA gene analyses, median Shannon diversity index was 6.10 versus 4.85 at baseline (p = 0.171) and 5.67 versus 4.17 at Week 12 (p = 0.085) in repeat-detection and no-detection groups, respectively. Bray–Curtis PERMANOVA was non-significant at baseline (R² = 0.0946, p = 0.0815) and Week 12 (R² = 0.0597, p = 0.8576); Aitchison-distance sensitivity analyses were likewise non-significant (p = 0.0547 and p = 0.3232, respectively). No selected genus-level comparison met the false-discovery-rate-adjusted threshold. The three-participant repeat-detection subgroup precluded reliable analysis of dairy-arm effects, subtype-specific differences, cardiometabolic outcomes, or bacterial-community associations. In this small pilot cohort, ST2 and ST4 were identified in paired baseline and Week 12 stool samples from three healthy adults, providing molecular evidence of repeat detection over the sampled interval. Larger studies with more frequent sampling, quantitative assays, and adequately powered, prespecified analyses are needed to investigate the temporal dynamics and host-associated correlates of Blastocystis detection. Full article

The regional fauna of many Diptera groups is insufficiently studied. Tabanidae are the largest representatives of blood-sucking Diptera. A description of a dataset on the biodiversity of horseflies (Tabanidae) is presented, which includes information obtained by the authors and their colleagues in 2001, 2007–2009, and 2012–2025. The information was received from 14 regions of European Russia. A total of 5740 specimens were processed. In total, samples were obtained from 159 localities. Each record includes information about the species, time and place of collection, the collectors and determiners, as well as the administrative affiliation of the locality, making the dataset suitable for faunistic, biogeographical, and ecological studies. In total, 35 species were reliably identified. The most studied was the Republic of Mordovia, from which 33 species of Tabanidae became known. In turn, 12 species are included in the dataset from the Vladimir Region, and 10 species are included in the dataset from the Ryazan Region. Five species (Chrysops caecutiens, Chrysops viduatus, Haematopota pluvialis, Hybomitra bimaculata, Hybomitra muehlfeldi) were represented in the dataset in the largest number, and they accounted for 61.5% of the total specimens. The dataset also includes one specimen each of five species: Atylotus plebeius, Chrysops nigripes, Chrysops sepulcralis, Hybomitra borealis, and Hybomitra kaurii. Tabanidae activity begins in the first ten days of May and ends in the second ten-day period of September. The maximum species richness was observed in the third ten-day period of June and the first ten days of July, with 24 species recorded in each of these periods. Meanwhile, the maximum value of the Shannon index (2.52) and the minimum value of the Berger–Parker index (0.16) are observed in the first ten days of July. The dataset can be used as a basis for further study of the diversity and distribution of Tabanidae in European Russia. Full article

Architectural atmosphere for spirituality holds potential to support the physical and mental health of post-COVID urban populations, and people now spend more of their lives within buildings even as opportunities for spiritual engagement recede. Yet evidence-based knowledge for designing such environments remains limited. This study aimed to identify the architectural atmospheres for spiritual constructs through a systematic literature review and practice-based interviews conducted following the COVID-19 pandemic. Data from Scopus-indexed publications and architects’ relevant expertise were analyzed using thematic content analysis, while word frequency and bivariate association analyses were employed to identify key architectural characteristics and their associations with spiritual constructs. The findings indicate that a holistic atmospheric approach should integrate spatial, perceptual, and natural features. Tangible atmospheric features such as space, natural materials, and object elements emerged as most prominent, alongside intangible features including illumination, acoustics, and temperature conditions. At the use-effect level, spatial experience and perception were most frequently reported. Positive spiritual constructs were linked to symbolic objects, sensory experiences, and lighting conditions, whereas negative spiritual constructs were primarily associated with temperature conditions. Future studies should extend inquiry across diverse linguistic, cultural, and temporal contexts while empirically validating the proposed framework in real-world environments. Full article

Legal forms of nature conservation rarely take invertebrates into account, including soil fauna, and therefore they are of limited effectiveness for this group of organisms. The aim of this study was to assess how natural heterogeneity of nature reserves influences preservation of the biodiversity of soil invertebrates. The research was conducted in the period 2024–2025 in ten habitat-diverse nature reserves located in north-western Poland. The model group used in this study were ptyctimous mites (Acari: Oribatida), which are among the best-studied free-living mites in Poland. In 176 samples collected from 20 types of habitats, 21 species were identified, representing 50% of all ptyctimous mites known from Poland. The number of species recorded in each reserve ranged from 12 in Przełom rzeki Dębnicy reserve to 16 in Dęby Wilczkowskie reserve. The highest Shannon–Weaver diversity index, has been recorded for Nad Jeziorem Liptowskim reserve. None of the species recorded in the examined sites was very frequent or highly abundant, which indicates a balanced community structure and absence of major disturbances in the soil environment of the examined reserves. The species occurring in all ten reserves and in the majority of habitats were common in the whole area of Poland: Euphthiracarus cribrarius (Berlese, 1904), Phthiracarus laevigatus (C. L. Koch, 1841), Phthiracarus longulus (C. L. Koch, 1841), and Phthiracarus nitens (Nicolet, 1855). In contrast, Mesotritia nuda (Berlese, 1887) and Microtritia minima (Berlese, 1904) were the two stenotopic species. The species diversity of communities in the examined reserves was determined mostly by the habitat diversity within the reserves and by their history. The results indicate that in order to protect diverse communities of soil fauna it is crucial to protect many small, yet habitat-diverse, areas. Full article

This study investigates the spatiotemporal distribution of heavy metals in urban soils of Thessaloniki, Greece, over a four-year monitoring period (2021–2024). A total of 664 soil samples were collected across diverse land-use types during both wet (winter) and dry (summer) seasons. Soil physicochemical properties were analyzed alongside cadmium (Cd), copper (Cu), lead (Pb), and zinc (Zn) concentrations. The results reveal distinct, element-specific accumulation dynamics driven by continuous anthropogenic inputs. Statistical and geospatial analyses confirm that Cd exhibits a highly significant, progressive accumulation and spatial expansion toward residential areas. In contrast, Cu and Pb demonstrate a gradual, chronic enrichment, eventually reaching a saturation point where winter precipitation is insufficient to offset summer deposition. Zn presents as a severe but temporally stable contamination burden, anchored to the northwestern industrial–port sector. Furthermore, the alkaline properties of the local urban soils were found to act as an effective sink, immobilizing contaminants and preventing downward leaching. The Geo-accumulation Index (I_geo) confirms a progressive decline in soil quality driven primarily by cadmium, while the other trace elements exhibit persistent, stable profiles. Overall, this study establishes a vital geochemical baseline of total heavy metal loading in Mediterranean urban soils, emphasizing the need for targeted emission controls and future mobile-fraction assessments to guide sustainable urban management. Full article

As global aging accelerates, identifying age- and lifestyle-associated gut microbiota alterations has become critical for understanding healthy aging and microbiota-targeted interventions. To explore the associations of age and lifestyle factors with gut microbiota profiles in community-dwelling adults, 159 Chongqing residents were divided into young (18–39, n = 44), middle-aged (40–59, n = 71) and elderly (60–89, n = 44) groups. Fecal samples were analyzed by 16S rRNA gene sequencing, and lifestyle factors were assessed using a study-specific structured questionnaire. The Shannon index differed significantly between the young and middle-aged groups (p < 0.05), whereas other α-diversity and β-diversity analyses showed no significant differences. Age-related shift trends included decreased Bacillota and increased abundance of Bacteroidota. Young adults were enriched in Parasutterella, the [Eubacterium] ventriosum group and Anaerostipes; middle-aged adults were enriched in Clostridium sensu stricto 4, Clostridium sensu stricto 1 and Holdemanella; and elderly adults were enriched in Prevotellaceae UCG-004, Helicobacter, Lactobacillus, Streptococcus and Fusobacterium. Lifestyle factors were independently associated with specific microbial signatures, including tea-related enrichment of Catenibacterium and Escherichia–Shigella, exercise-related enrichment of Dialister and Bavariicoccus, and milk-related enrichment of Bacillus and Klebsiella (formerly Raoultella). Overall, these findings provide population-based evidence linking age and lifestyle factors with gut microbial profiles and may inform microbiota-targeted strategies for healthy aging. Full article