Search Results (3,537)

Maca (Lepidium meyenii Walp.), a Brassicaceae species native to the high Andes of Peru, has gained global attention as a functional food and herbal medicinal product due to its endocrine-modulating, fertility-enhancing, and neuroprotective properties. Although numerous studies have addressed its biological effects, a systematic and up-to-date summary of its chemical constituents and analytical methodologies is lacking. This review aims to provide a critical overview of the chemical constituents of L. meyenii and to evaluate analytical studies published between 2000 and 2025, focusing on recent advances in extraction strategies and qualitative and quantitative analytical techniques for quality control. Major compound classes include macamides, macaenes, glucosinolates, and alkaloids, each contributing to maca’s multifaceted activity. Ultra-(high-)performance liquid chromatography (U(H)PLC), often coupled with ultraviolet, diode array, or mass spectrometric detection, is the primary and most robust analytical platform due to its sensitivity, selectivity, and throughput, while ultrasound-assisted extraction improves efficiency and reproducibility. Emerging techniques such as metabolomics and chemometric approaches enhance quality control by enabling holistic, multivariate assessment of complex systems and early detection of variations not captured by traditional univariate methods. As such, they provide complementary, predictive, and more representative insights into maca’s phytochemical complexity. The novelty of this review lies in its integration of conventional targeted analysis with emerging approaches, comprehensive comparison of analytical workflows, and critical discussion of variability related to phenotype, geographic origin, and post-harvest processing. By emphasizing analytical standardization and quality assessment rather than biological activity alone, this review provides a framework for quality control, authentication, and safety evaluation of L. meyenii as a functional food and dietary supplement. Full article

Agricultural land represents a fundamental production resource and one of the key factors of ecological and economic stability in rural and peri-urban areas. In the municipality of Grocka, the impacts of urbanization, demographic decline, and changes in the agrarian production structure have led to spatial degradation and reduced economic sustainability. To assess the current state and potential of agriculture at the settlement level, a multi-criteria analysis (MCA) integrated with Geographic Information Systems (GIS) was applied. The analysis encompassed demographic, production, environmental, and spatial indicators, normalized using the min–max scaling method and aggregated through a weighted sum. Criteria weights were defined based on a combination of literature review and expert judgment. The results reveal spatial variations in the level of sustainability and enable the identification of priority zones for agro-economic improvement, areas of moderate stability, and spaces suitable for developing sustainable agricultural models. Sensitivity testing (±20% variation in weights) confirmed the robustness of the results. The identified zones and proposed measures aim to revitalize degraded areas, preserve permanent crops, and strengthen production and institutional capacities. The applied methodological framework can serve as a tool for planning and policymaking in sustainable agricultural development, particularly in peri-urban contexts. Full article

This study develops a statistical and technological framework to analyze extreme rainfall in Colima, Mexico, by integrating historical precipitation records, probabilistic modeling, and spatial visualization. Using data from CONAGUA meteorological stations, we identify high-intensity rainfall events and model their recurrence using the Generalized Extreme Value (GEV) distribution to estimate key return periods. The results support flood-risk assessment and territorial planning in Colima. Spatial interpolation was performed in Python (version 3.13), and QGIS (version 3.38) produces exceedance maps that illustrate geographic variations in rainfall intensity across the state. These exceedance maps reveal a consistent spatial pattern, with the northern and western areas of Colima experiencing the highest frequencies of extreme events. Based on these results, the integration of real-time sensor technologies and satellite observations may improve flood monitoring and risk management frameworks. Full article

Islands provide valuable opportunities to study how isolation affects phenotypic variation. Even though orchid bees are highly mobile, their movement can still be restricted by marine barriers. In this study, we assessed whether insular isolation impacts wing shape in the orchid bee Euglossa mixta across the Coiba archipelago and a nearby mainland site in Western Panama. Our study analyzed 271 individuals using geometric morphometrics, focusing on forewing venation landmarks, and evaluated the variation using multivariate analyses of shape variation and quantifying the shape of Mahalanobis distances. Additionally, we conducted a Mantel test to explore the relationship between geographic distance and morphological divergence. Our findings reveal that wing shape variation in E. mixta is largely conserved but shows fine-scale structuring consistent with spatial patterns expected in insular systems. These results suggest that even highly mobile pollinators may experience enough isolation for subtle phenotypic shifts to occur, highlighting the sensitivity of geometric morphometrics for detecting early stages of morphological differentiation. Full article

Background: Multimorbidity (the co-occurrence of two or more chronic conditions) is increasingly common among older adults and contributes to diminished well-being and greater healthcare use. While national data highlight regional variation, few studies have examined how multimorbidity is patterned within provinces like Saskatchewan or how it relates to access and acute care use. Objective: To describe sociodemographic and geographic patterns of multimorbidity among older adults in Saskatchewan and examine its association with healthcare access, unmet needs, and recent emergency department (ED) visits and hospitalizations. Methods: We conducted a secondary analysis of a population-based telephone survey of 1093 adults aged 65+ across Saskatchewan. Respondents were categorized by chronic disease burden (none, one, or multimorbidity). Descriptive statistics and postal code-level mapping explored health status, access, and utilization. Results: Multimorbidity (10.6%) was more prevalent among older adults aged 75+, Indigenous respondents, and those with lower education. It was associated with poorer self-rated health, greater unmet needs, and higher ED visits (20.7%) and hospitalizations (12.1%) compared to those without chronic conditions. Northern regions had proportionally higher multimorbidity, despite smaller populations. Conclusions: Findings highlight social and spatial disparities in chronic disease burden and underscore the need for equity-focused strategies in Saskatchewan’s rural and northern communities. Full article

Global environmental changes significantly alter ecosystem services (ESs), particularly in fragile regions like the Tibetan Plateau. While methodological advances have improved spatial assessment capabilities, understanding of how multiple drivers interact to shape ecosystem service heterogeneity remains limited to regional scales, especially across complex alpine landscapes. This study aims to clarify whether multi-factor interactions produce nonlinear enhancements in ES explanatory power and how these driver–response relationships vary across heterogeneous terrains. We quantified spatiotemporal patterns of four key ecosystem services—water yield (WY), soil conservation (SC), carbon sequestration (CS), and habitat quality (HQ)—across the southeastern Tibetan Plateau from 2000 to 2020 using multi-source remote sensing data and spatial econometric modeling. Our analysis reveals that SC increased by 0.43 t·hm⁻²·yr⁻¹, CS rose by 1.67 g·m⁻²·yr⁻¹, and HQ improved by 0.09 over this period, while WY decreased by 3.70 mm·yr⁻¹. ES variations are predominantly shaped by potent synergies, where interactive explanatory power consistently surpasses individual drivers. Hydrothermal coupling (precipitation ∩ potential evapotranspiration) reached 0.52 for WY and SC, while climate–vegetation synergy (precipitation ∩ normalized difference vegetation index) achieved 0.76 for CS. Such climate–restoration synergies now fundamentally shape the region’s ESs. Geographically weighted regression (GWR) further revealed distinct spatial dependencies, with southeastern regions experiencing strong negative effects of land use type and elevation on WY, while northwestern areas showed a positive elevation associated with WY but negative effects on SC and HQ. These findings highlight the critical importance of accounting for spatial non-stationarity in driver–ecosystem service relationships when designing conservation strategies for vulnerable alpine ecosystems. Full article

Cognitive diagnosis serves as a key component in personalized intelligent education, designed to accurately evaluate students’ knowledge states by analyzing their historical response data. It offers fundamental support for various educational applications such as adaptive learning and exercise recommendation. However, when leveraging student data, existing diagnostic models often incorporate sensitive attributes like family economic background and geographic location, which may lead to bias and unfairness. To address this issue, this paper introduces a Fairness-Aware Cognitive Diagnosis model (FACD) based on counterfactual graph representation learning. The approach builds student-centered causal subgraphs and integrates a graph variational autoencoder with adversarial learning to mitigate the influence of sensitive attributes on node representations. It further employs both central-node and neighbor-node perturbation strategies to generate counterfactual samples. A Siamese network is utilized to enforce representation consistency across different counterfactual scenarios, thereby deriving fair student contextual embeddings. Experimental results on the PISA 2015 dataset show that FACD outperforms conventional cognitive diagnosis models and their fairness-aware variants in terms of ACC, AUC, and RMSE. Ablation studies confirm the effectiveness and synergistic nature of each module. This work provides a viable pathway toward more reliable and equitable cognitive diagnosis systems. Full article

The Balkan mountain ranges are major hotspots of genetic diversity and endemism, yet many species remain poorly studied. One such species is Alyssum bosniacum, a narrow endemic of the Central Dinaric Alps. To fill this gap, we examined 143 individuals from 15 populations across the species’ range using flow-cytometric ploidy determination, amplified fragment length polymorphisms (AFLPs), nuclear microsatellites, and chloroplast DNA sequences. Microsatellite data revealed two genetic clusters, showing moderate differentiation and relatively high diversity. AFLP profiles indicated shallow but geographically structured variation, while chloroplast haplotypes showed limited divergence and regional clustering. Our data suggest possible persistence in multiple microrefugia within the Central Dinaric Alps, although further evidence is needed to confirm this scenario. Despite range fragmentation, genetic variation within the population remains high, indicating evolutionary resilience and supporting the species’ long-term future population stability under current conditions. Full article

Background: Inadequate water intake is prevalent among Chinese college students, a group at a critical stage for establishing lifelong health habits. However, nationwide data on their knowledge, attitudes, and practices (KAP) regarding water intake remain scarce. This study aims to describe regional variations in water-related KAP among undergraduates across seven major geographical regions of China, providing evidence for developing targeted health promotion strategies. Methods: A cross-sectional survey employed multistage stratified convenience sampling to recruit undergraduate students (N = 3161) from one university in each of China’s seven regions. Participants completed a KAP questionnaire. Data analysis utilized chi-square tests with Bonferroni correction, reporting effect sizes and confidence intervals. Results: A total of 3161 valid responses were obtained (response rate: 98.3%). Students in South China demonstrated the lowest awareness of regular water intake (52.0%) but the highest awareness of daily recommended water intake (32.9%). South China and Northeast China exhibited weaker recognition of water’s importance (65.6% and 94.0%, respectively) and the lowest prevalence of “thirst-driven” drinking behavior (21.7% and 32.4%, respectively). Conclusions: The knowledge, attitude, and practice (KAP) status regarding water consumption among Chinese university students is concerning and exhibits significant regional disparities. Key issues include knowledge gaps, disconnect between attitudes and behaviors, and deeply ingrained unscientific drinking habits. Analysis based on KAP theory indicates that future health promotion strategies must move beyond mere knowledge dissemination and adopt region-specific, multilevel comprehensive interventions. Full article

Background and Rationale: Tinospora crispa (L.) Hook.f. & Thomson (T. crispa) is a climbing medicinal plant with long-standing ethnopharmacological use, particularly in inflammatory and hepatic disorders and cancer-related conditions. There is a knowledge gap regarding how wild versus cultivated ecotypes differ in chemotype, bioactivity, and safety, and how this might support or refine traditional use. Study Objectives: This study aimed to compare wild and cultivated ecotypes of T. crispa from the Nile Delta (Egypt) in terms of quantitative and qualitative phytochemical profiles; selected in vitro biological activities (especially antioxidant and cytotoxic actions); genetic markers potentially associated with metabolic variation; and short-term oral safety in an animal model. Core Methodology: Standardized extraction of plant material from wild and cultivated ecotypes. Determination of total phenolics, total flavonoids, and major phytochemical classes (alkaloids, tannins, terpenoids). Metabolomic characterization using UHPLC-ESI-QTOF-MS, supported by NMR, to confirm key compounds such as berberine, palmatine, chlorogenic acid, rutin, and borapetoside C. In vitro bioassays including: Antioxidant activity (e.g., radical-scavenging assay with EC₅₀ determination). Cytotoxicity against human cancer cell lines, with emphasis on HepG2 hepatoma cells and calculation of IC₅₀ values. Targeted genetic analysis to detect single-nucleotide polymorphisms (SNPs) in the gen1 locus that differentiate ecotypes. A 14-day oral toxicity study in rats, assessing liver and kidney function markers and performing histopathology of liver and kidney tissues. Principal Results: The wild ecotype showed a 43–65% increase in total flavonoid and polyphenol content compared with the cultivated ecotype, as well as substantially higher levels of key alkaloids, particularly berberine (around 12.5 ± 0.8 mg/g), along with elevated chlorogenic acid and borapetoside C. UHPLC-MS and NMR analyses confirmed the identity of the main bioactive constituents and defined a distinct chemical fingerprint for the wild chemotype. Bioassays demonstrated stronger antioxidant activity of the wild extract than the cultivated one and selective cytotoxicity of the wild extract against HepG2 cells (IC₅₀ ≈ 85 µg/mL), being clearly more potent than extracts from cultivated plants. Genetic profiling detected a C → T SNP within the gen1 region that differentiates the wild ecotype and may be linked to altered biosynthetic regulation. The 14-day oral toxicity study (up to 600 mg/kg) revealed no evidence of hepatic or renal toxicity, with biochemical markers remaining within physiological limits and normal liver and kidney histology. Conclusions and Future Perspectives: The wild Nile-Delta ecotype of T. crispa appears to be a stress-adapted chemotype characterized by enriched levels of multiple bioactive metabolites, superior in vitro bioactivity, and an encouraging preliminary safety margin. These findings support further evaluation of wild T. crispa as a candidate source for standardized botanical preparations targeting oxidative stress-related and hepatic pathologies, while emphasizing the need for: More comprehensive in vivo efficacy studies. Cultivation strategies that deliberately maintain or mimic beneficial stress conditions to preserve phytochemical richness. Broader geographical and genetic sampling to assess how generalizable the present chemotypic and bioactivity patterns are across the species. Full article

Species delimitation in morphologically conserved groups poses a significant challenge for traditional taxonomy. In the Neotropical wasp genus Pachymenes (Hymenoptera: Vespidae: Eumeninae), two putative sister species—Pachymenes ater and P. ghilianii—have historically been distinguished by a limited set of ambiguous morphological characters, often complicated by intraspecific variation and overlapping geographic distributions. Here, we apply an integrative taxonomic framework combining morphological, molecular, and geographic evidence to test species limits between these two taxa. We reassess previously proposed diagnostic traits and explore the utility of additional characters across multiple lines of evidence. Our results indicate that some morphological characters traditionally used for identification are insufficient for clear separation of species, while other, previously overlooked traits offer improved resolution. Molecular data further support species distinction and provide new insights into the evolutionary relationship between P. ater and P. ghilianii. This study highlights the importance of combining diverse data sources for robust species delimitation in solitary wasps and contributes to a better understanding of species boundaries within Eumeninae. Full article

Antimicrobial resistance (AMR) poses a global health threat, with urban wastewater systems serving as key reservoirs for resistance dissemination. This study aimed to investigate the relationships among urban environments, bacterial communities, and AMR patterns, and evaluate the specific municipal-scale drivers of resistance gene distribution. Shotgun metagenomic analysis was conducted on 45 wastewater samples collected from 15 municipalities across Latvia to determine the composition of the resistome and its correlation with local factors. The analysis identified 417 distinct antibiotic resistance genes (ARGs) belonging to 108 families, with geographic location serving as the primary driver of ARG distribution, which explained 65.87% of community variation (p = 0.001). Local industrial factors demonstrated significant effects, with food industry wastewater significantly influencing both bacterial taxonomy and ARG profiles (p < 0.05). While the presence of a regional hospital did not shape the overall municipal resistome, hospital-associated wastewater showed 19 overlapping ARGs, including clinically critical carbapenemases. Municipal wastewater systems function as geographically structured reservoirs of AMR that are shaped by localized industrial and healthcare outputs. These findings support wastewater-based AMR surveillance as a valuable tool for tracking specific resistance sources. Full article

Studies of swordfish growth provide essential biological parameters for stock assessment and fisheries management, informing both conventional population models and the evaluation of different management strategies. The present study aims to provide insight into the dynamics of the South Atlantic Ocean stock growth patterns. The sampling is the most complete to date in the literature, with a wide geographical distribution and in every month of the year. The analysis included 788 anal fins. Biometric relationships between different anal fin spine measurements and fish size were found. Some variation in the size of annulus one and vascularisation hiding some internal bands was found in larger specimens. Marginal increment ratio (MIR) and edge type analyses showed an annual band formation in the austral winter (July to September), thereby confirming the hypothesis of one annulus formation per year. Growth parameters were calculated using different growth models. The Gompertz model yielded the most reliable parameters (L_∞ = 341 cm LJFL, k = 0.13 yr⁻¹, T = 2.83 yr). The tagging and recapture data corroborated the selected model. Results were compared with other growth curves published. Full article

Root-knot nematodes (RKN), especially Meloidogyne incognita, threaten global alfalfa crops because of their broad host range and pathogenic nature. Despite its significance, research on resistance is limited. In this study, 24 varieties from China, the US, Canada, Australia, and France were assessed for resistance using the Disease Index (DI) and Egg Mass Index (EMI). Results identified 19 varieties with varying resistance levels and 5 that were susceptible. Chinese Gannong No. 9 was highly resistant (DI: 10) and achieved the highest composite score (91). The US varieties Dryland and Moste were classified as resistant (DI: 14.3% and 12.5%, respectively) and also ranked highly by composite score (65 and 62.5). A moderate correlation between DI and EMI (r = 0.68) led to some inconsistent classifications, including for 2295, Instict, and WL168HQ, highlighting the importance of using multiple complementary metrics for accurate resistance evaluation. Egg mass production was strongly correlated with galling severity (r = 0.70), while root biomass showed no correlation with galling (r = 0.09), indicating root weight is not a reliable resistance indicator. Preliminary infection dynamics showed similar nematode penetration rates at 2 days post-infection across resistant and susceptible varieties. At 7 days post-infection, both resistant and susceptible varieties retained predominantly J2 larvae (78–89%), with no statistically significant differences in developmental stage distributions. These preliminary observations suggest that resistance-associated effects on nematode development, if present, are not strongly expressed at early stages of infection. The mechanistic basis of resistance in alfalfa remains unresolved and warrants further investigation using additional timepoints, histological analyses of feeding-site development, and molecular characterization. Geographically, American varieties displayed broad performance variation, Chinese varieties showed a bimodal distribution, and Canadian varieties exhibited moderate, consistent resistance. These results offer valuable germplasm for breeding and highlight the importance of multiple resistance metrics. Resistant varieties such as Gannong No. 9 provide important genetic resources for developing durable nematode resistance in alfalfa and can guide variety selection in nematode-infested regions. Full article

Urbanization has significantly affected the availability and quality of urban green and blue spaces (UGBSs), which may affect mental health. In the United States, rates of anxiety and depression continue to rise, particularly in urban regions. This study examined the relationship between UGBS exposure and mental health, measured by Frequent Mental Distress (FMD), across major cities in the contiguous United States (CONUS) from 2015 to 2017. UGBS exposure was estimated using remote sensing and GIS, and its association with FMD was assessed using Ordinary Least Squares (OLS) regression and Geographically Weighted Regression (GWR). The analyses also included smoking, binge drinking, median income, and educational attainment as covariates. OLS results indicated statistically significant but spatially uniform associations, whereas GWR revealed considerable spatial variation in UGBS and covariate effects across cities. Median income and educational attainment consistently showed inverse relationships with FMD, while smoking showed direct relationships across all years. Binge drinking exhibited both direct and inverse relationships. Additionally, both green space and blue space showed different relationships with FMD depending on location and year. The beneficial effect of UGBS on FMD was not observed in every instance. These findings help clarify the relationship between environmental, behavioral, and socioeconomic factors and mental health in urban settings, providing information that may support informed urban planning and public health decisions. Full article