Search Results (1,456)

Soybean (Glycine max) is a globally important crop, as it has high protein and lipid content and plays a central role in sustainable agriculture. Recent advances in rhizosphere biology have highlighted the critical role of soybean root exudates, particularly isoflavones and other secondary metabolites, in shaping microbial community structure and function. These exudates mediate complex, bidirectional signalling with rhizosphere microorganisms, influencing nutrient acquisition, stress resilience, and disease suppression. This review describes current knowledge on soybean–microbe interactions, with a focus on the emerging concept of the rhizosphere as a dynamic communication network. Particular attention is given to Bacillus velezensis S141, a plant growth-promoting rhizobacterium (PGPR) with distinctive traits, including β-glucosidase-mediated isoflavone hydrolysis, phytohormone production, and drought resilience. Coinoculation studies with Bradyrhizobium spp. demonstrate enhanced nodulation, nitrogen fixation, and yield, supported by transcriptomic and ultrastructural evidence. Comparative genomic analyses further underscore host-adaptive features of S141, distinguishing it from other Bacillus strains. Despite promising findings, mechanistic gaps remain regarding metabolite-mediated signalling and environmental robustness. Future research integrating metabolomics, synthetic ecology, and microbial consortia design will be essential to harness rhizosphere signalling for climate-resilient, low-input soybean cultivation. Full article

The coordination between carbon and nitrogen metabolism is central to plant adaptation to water-limited environments. This study investigated how soil management practices modulate the metabolic and physiological performance of Citrus sinensis trees cultivated under semi-arid conditions. Six field treatments combining weed-control netting, subsurface drainage, and zeolite amendment were evaluated for their effects on vegetative growth, yield, and fruit metabolome. Using ¹H-NMR spectroscopy, 23 metabolites in peel and 21 in juice were identified and quantified, revealing that sugars, organic acids, and amino acids were the most responsive compound classes. Multivariate analyses (PCA, PLS-DA) showed distinct metabolic fingerprints associated with each soil management regime. Treatments integrating netting and zeolite (T4) induced a coordinated reprogramming of carbon and nitrogen metabolism, characterized by altered levels of glucose, fructose, citrate, and proline. These changes suggest enhanced osmotic regulation and tricarboxylic acid cycle activity, supporting improved water-use efficiency and physiological stability under semi-arid stress. The results demonstrate that soil management directly influences fruit metabolic homeostasis, linking environmental modulation of root-zone conditions with whole-plant biochemical adjustment. This integrative metabolomic approach provides mechanistic insight into how soil–plant interactions shape the metabolic resilience of citrus under water-limited field environments. Full article

Food insecurity is not merely an outcome of individual deprivation but a place-based expression of how urban food systems operate within unequal socio-spatial contexts. Using the Drivers–Pressures–State–Impacts–Responses (DPSIR) framework as a policy-relevant analytical lens, this study examines the Metropolitan Region of Rome to show how structural inequalities and uneven food infrastructures shape exposure to food-related risks. The results show that vulnerability is amplified by food price inflation, the rising cost of a healthy diet, and spatial gaps in retail provision—captured through the combined presence of food deserts and food blackouts—disproportionately affecting peripheral municipalities. State indicators, including the Food Insecurity Experience Scale (FIES), the Food Affordability Index (FAI), and the spatial distribution of FEAD beneficiaries, reveal a markedly uneven geography of food poverty, mirroring a higher prevalence of overweight, obesity, and diabetes. These spatial configurations point to obesogenic environments in which constrained affordability and limited accessibility restrict the capacity to maintain healthy diets, generating hidden social and health costs that disproportionately burden peripheral areas. Overall, food insecurity in Rome follows a pronounced centre–periphery gradient rooted in structural and institutional arrangements rather than incidental variation. Addressing this condition requires place-based, justice-oriented interventions that strengthen food infrastructures, improve coordination across governance scales, and place food security at the core of an integrated metropolitan Food Policy. Full article

Background/Objectives: Across geographical and cultural contexts, how individuals identify, communicate and help-seek for distress is often shaped by how mental health itself is understood. Insight into how adolescents and adults in their routine environment, such as teachers, understand mental health is crucial for developing context-specific mental health promotion strategies to young people. Sri Lanka, a country that navigates the dual legacies of pre-and-post-colonial mental health frameworks, has this need. The aim was to explore Sri Lankan school-going adolescents’ and their teachers’ perspectives of mental health and its determinants. Methods: Semi-structured interviews were conducted with 28 school-going adolescents in grades 10–12/13 and 14 of their school teachers, from seven secondary schools in Gampaha District, Sri Lanka. Interviews were transcribed, translated, coded inductively and analysed thematically. Results: All participants drew on culturally meaningful language that is rooted in Buddhist perspectives to conceptualise mental health. Causes and risk factors of poor mental health were attributed to individual, immediate environmental and structural factors. School environment played a central role in exacerbating other risk factors. Adolescents exhibited more knowledge of informal care avenues for mental health-related concerns. Conclusions: Findings highlight several implications including opportunities to leverage culturally contextualised language/frameworks when promoting mental health to Sri Lankan adolescents, diversifying mental health research and initiating school-based mental health programmes that integrate mental health promotion into routine educational practice to transform learning institutions across Sri Lanka to become mental health-promoting schools. Full article

The concept of neuroception of psychological safety, rooted in Polyvagal Theory, offers a framework for understanding how individuals perceive safety at a physiological and psychological level. Illness may disrupt this perception and affect bodily regulation, emotional resilience, social connection, and self-compassion. This study aims to explore how experiences of being unwell, across both acute and chronic contexts, affect individuals’ neuroception of psychological safety. Semi-structured interviews were conducted with eleven adult participants aged 20–79, including individuals with both acute and chronic illness experiences. Interview questions were informed by the Neuroception of Psychological Safety and Polyvagal Theory. Data were analysed using reflexive thematic analysis, following Braun and Clarke’s six-step process. Four key themes were identified: dysregulation and the narrowing window of tolerance (reduced emotional resilience and heightened bodily sensitivity); distrust and disappointment (a rupture in bodily and self-trust); responsibility and internalised guilt (moral and emotional burdens around illness and recovery); and illness demands attention and disrupts social connection (withdrawal, emotional depletion, and compromised compassion). Across these themes, participants described a diminished sense of psychological safety when unwell, shaped by both internal physiological changes and altered social dynamics. Illness can profoundly undermine psychological safety by disrupting neurobiological regulation, altering relational engagement, and eroding trust in one’s body and self. These findings highlight the importance of integrating psychological safety principles into models of care, particularly in how individuals experience and recover from illness. Full article

Access to health care is a fundamental human right established in various legal frameworks worldwide. However, increasing evidence indicates that individuals with physical disabilities in rural Ethiopia continue to face barriers and disparities in accessing health care, leading to unmet needs and worsening health. Guided by Critical Disability Theory and Intersectionality Theory, this instrumental case study explored the barriers to accessing primary health care (PHC) for adults with physical disabilities in rural Ethiopia and examined how disability intersects with poverty, gender, and rurality to shape exclusion. Following purposeful sampling, we conducted 14 interviews and one focus group discussion (n = 7) with adults with physical disabilities, supplemented by PHC facility infrastructure observation. Using reflexive thematic analysis, we identified intersecting barriers across four domains: physical and environmental barriers, socioeconomic marginalization, socio-cultural stigma and attitudinal barriers, and systemic weaknesses in health service delivery. This revealed that disability-related barriers are rooted in structural ableism and intersecting inequities, underscoring the urgent need for inclusive policies and disability-inclusive practices. Such practices include enforcing accessibility standards, expanding community-based health insurance to cover disability-specific needs, supporting transportation, and providing disability-specific training for health professionals. Implementing these practices is essential to advancing disability rights and ensuring equitable health access in Ethiopia. Full article

This study utilizes Digital Elevation Models (DEMs) with different spatial resolutions (SRTM 90 m, ASTER DEM 30 m, and ALOS PALSAR 12.5 m), Landsat-8 satellite imagery, and the Bouguer WGM-12 gravity model to analyze morphotectonic features in the Upper Guajira region of Colombia, a desert area in northern South America, area that is composed by low-relief serranías of Cabo de la Vela, Carpintero, Cosinas, Simarua, Jarara, and Macuira. Three DEMs were used to extract and map morphotectonic lineaments, drainage networks, and morphological features. Lineaments were characterised by azimuth frequency, length, density, lithological distributions, and geological timeframes, with support from a digitized geological map from the Colombian Geological Service (SGC). The analysis of the east–west (E-W) Cuisa fault, using the Riedel shear model, suggests a transtensional/transpressional tectonic regime influenced by the Caribbean and South American plates, characterised by NE-SW and E-W fault orientations. Lineaments were grouped into five geochronological categories based on the geological map, revealing a shift from NE-SW to E-W orientations from the Cretaceous period onward, reflecting the ongoing movement of the Caribbean plate. Folds and faults from this tectonic activity were enhanced using Landsat-8 band combinations. The WGM-12 model was separated into regional and residual signals, with the latter highlighting the serranías subregions. Residual gravity analysis revealed significant negative anomalies, suggesting lower-density lithologies surrounded by higher-density blocks. This pattern aligns with the regional geological framework and may reflect a crustal root or terrain dragging linked to the tectonic processes that shaped the serranías. Derivative residual gravity data also revealed lineaments oriented NE–SW, whose distribution extends beyond the morphometric boundaries of the subregions. The study found a strong correlation between structural and drainage patterns, demonstrating structural control over geomorphology. This study establishes a solid morphotectonic and geophysical framework for the Upper Guajira region, demonstrating how multi-resolution DEM analysis combined with gravity data can resolve regional deformation patterns, crustal architecture, and tectonic development along the Caribbean–South American plate boundary. Full article

This study investigates the determinants of green energy penetration in the Next Eleven (N-11) economies over the period 2000–2022, with a particular focus on the roles of foreign direct investment (FDI), green transition, governance quality, industrial growth, and urbanization. The primary objective of the study is to assess how investment flows, structural transformation, and institutional capacity jointly shape the adoption of renewable energy in fast-growing emerging economies. To achieve this goal, the study employs a second-generation panel econometric and machine-learning framework that accounts for cross-sectional dependence, slope heterogeneity, and long-run equilibrium relationships. Specifically, cross-sectional dependence and slope homogeneity tests are conducted, followed by CADF and CIPS unit root tests and the Westerlund cointegration approach. Long-run effects are then estimated using Partialing-Out LASSO and Cross-Fit machine-learning estimators, complemented by SHAP analysis to interpret nonlinear and heterogeneous effects. The results indicate that green transition, governance quality, and urbanization significantly promote green energy penetration. In contrast, FDI and industrial growth exert adverse effects, reflecting carbon-intensive investment and production structures. The findings highlight the importance of coordinated investment strategies, institutional strengthening, and urban planning in accelerating renewable energy transitions in emerging economies. These results provide policy-relevant insights for achieving sustainable energy development while supporting long-term economic growth in the N-11 countries. Full article

An algorithm named ASR-BL-SA is proposed to solve the impact of a rectangular-part nesting sequence on final material utilization. Based on the Bottom Left principle, a coefficient, k, is defined as the ratio of the shape factor to 0.785 plus the square root of the min–max-normalized area. Parts are sorted in descending order of k. To tackle the flexible adaptation of part width and height via 90° rotation for sheet size and irregular leftover space, the Bottom Left algorithm initially compares utilization of original and rotated placements, selecting the option with higher utilization at each step. Finally, simulated annealing is applied for optimization. Experiments show that in the small-batch test, the proposed algorithm improves utilization by 5.51%, 3.75%, 8.84%, 5.51%, and 3.75% compared to the three baselines; in the mass production test, the improvements are 1.74%, 7.98%, 2.6%, 1.74%, and 7.89% within an acceptable time; in general applicability Test 3, its utilization is basically higher than the five comparative algorithms, achieving certain improvements in utilization. Full article

Addressing the difficulty of intuitively identifying and effectively correcting induced heave error in multibeam measurements, this paper proposes a two-stage methodology comprising error identification and correction. This scheme includes an error discrimination method based on regression diagnostics and an error correction method based on Partial Least Squares Regression (PLSR). By establishing a mathematical model between bathymetric discrepancies and attitude parameters, statistical diagnosis and effective identification of the error are achieved. To further mitigate the impact of induced heave error on bathymetric data, an elimination model based on PLSR is developed, enabling high-precision prediction and compensation of the induced heave error. Validation using field survey data demonstrates that this method can effectively estimate the installation offset parameters of the attitude sensor. After correction, the root mean square of bathymetric discrepancies between adjacent survey lines is reduced by approximately 78.8%, periodic stripe-shaped distortions along the track direction are essentially eliminated, and the quality of terrain mosaicking is significantly improved. This provides an effective solution for controlling induced heave error under complex topographic conditions. Full article

Background: Nurses’ clinical reasoning is increasingly being recognized as a core competence that enhances the quality and safety of care across diverse healthcare settings. Nurses with refined clinical reasoning skills contribute significantly to improved health outcomes and broader health gains. In emergency departments, this competence is essential to rapidly assessing complex problems, anticipating complications, and preventing the deterioration of patients’ clinical conditions. Such expertise enables nurses to discern the severity of clinical situations quickly and intervene effectively. Objectives: The aims of this study were to analyze the clinical reasoning process of nurses and develop a theory that explains this process in emergency care settings. Methodology: This qualitative study explored the following research question: “How do nurses enact the clinical reasoning process in emergency departments?” The Grounded Theory methodology was used, with a theoretical sample of 20 nurses. Data collection methods included in-depth interviews, participant observation, and field notes. Results: The theoretical analysis identified clinical reasoning as a substantive theory composed of two subprocesses: Diagnostic Nursing Assessment and Therapeutic Nursing Intervention. Nurses’ clinical reasoning determines two levels of patient severity—Level I, life-threatening situations (immediate risk), and Level II, non-life-threatening situations (expressed problems)—according to which nursing interventions are adjusted. Conclusions: The Nursing Clinical Reasoning Model is a dynamic and continuous process that involves both Diagnostic Nursing Assessment and Nursing Therapeutic Intervention. It is deeply rooted in the nurse–patient–family relationship and is shaped by the specific care context, which influences nurses’ assessments and interventions and patients’ responses and behaviors. Full article

This paper presents the results of a numerical study on the influence of the tooth root fillet manufacturing method on the bending strength of spur gears with straight teeth. A mathematical model describing the gear tooth geometry was developed, in which the transition curve at the tooth root was directly related to the applied machining process—either rack-type gear shaping or pinion-type gear shaping. Based on this model, a numerical procedure for calculating the bending stresses at the tooth root was formulated and verified using the finite element method (FEM). The results demonstrated high consistency between the proposed approach and FEM analysis, confirming the accuracy of the developed mathematical model and numerical methodology. The study also examined the effect of the tool fillet radius on the stress distribution in the root region. It was found that increasing the tool radius leads to a reduction in bending stresses, while the differences between the two machining methods gradually diminish. The proposed methodology offers a reliable numerical framework for assessing the strength of spur gears and can be effectively used in the design of lightweight, high-performance gear transmissions for aerospace and automotive applications. Full article

Accurately measuring the three-dimensional green quantity (3DGQ) of urban trees is crucial for quantifying carbon sequestration benefits (CSB) in high-density cities. In this study, 540 street trees across 18 species (30 per species) in Shanghai were analyzed to evaluate an Improved Simpson Model (ISM) for UAV-derived crown volume estimation against a traditional Approximate Geometry Model (AGM) and a LiDAR-based point cloud method (PCM). The ISM integrates UAV imagery, edge-based canopy profiling, and Simpson’s numerical integration to account for irregular crown shapes and internal leaf-stem gaps. Results show that ISM achieved consistently lower estimation errors than the benchmark methods. Overall, ISM’s 3DGQ estimates had a root mean square error (RMSE) of approximately 5.2 m³ and a mean absolute error (MAE) of about 4.1 m³, indicating a close match with PCM reference values. This represents a dramatic error reduction, on the order of 90%–95% improvement in RMSE, compared to the conventional AGM approach. Broadleaf species with dense, regular canopies (e.g., Cinnamomum camphora and Platanus × acerifolia) exhibited the highest accuracy, with ISM-predicted volumes deviating only ~1%–2% from field measurements. Even for species with more irregular or porous crowns, the ISM maintained robust performance, yielding smaller errors than AGM and nearly matching the LiDAR-based PCM “ground truth.” These findings demonstrate that the proposed ISM can provide highly accurate 3D crown volume and carbon sequestration estimates in complex urban environments, outperforming existing geometric models and offering a practical, efficient alternative to labor-intensive LiDAR surveys. Full article

A reading of the American Revolution and the post-Civil War Reconstruction period through the lens of W.E.B. Du Bois’s early writings provides new insights into his theory of racial monopoly capitalism. Many Americans saw the 1776 revolution as an idealistic fight for liberty, for the slaveholding elite who held disproportionate power within the revolutionary coalition; however, consolidating power and defending their property and expansionist ambitions were primary objectives. For them, the Revolution was a strategic move to establish racial nationalism and preserve slaveholder control over economic growth and national power. A century later, Du Bois’s analysis of the “bargain of 1876” revealed a similar consolidation of power, influencing both his research on the revolutionary period and his writings on Reconstruction. The political deal in 1876 abandoned the promise of Reconstruction’s “abolition democracy,” restoring white supremacist rule. Du Bois saw this as the victory of monopoly capital, which used racism to weaken interracial labor solidarity and enforce a system of super-exploitation. By linking 1776 to 1876, Du Bois demonstrated that U.S. capitalist development had been shaped by racial oppression from its settler-colonial roots through the rise of monopoly capitalism, consistently blocking the achievement of a true, non-racial democracy. Full article

Root exudates are key mediators of plant–soil–microbe interactions, shaping rhizosphere dynamics and influencing agroecosystem resilience. Comprising diverse primary and secondary metabolites, these compounds are actively secreted through specific transport pathways and are modulated by intrinsic plant traits and environmental conditions. Root exudates serve as chemical signals that recruit and structure microbial communities, facilitating nutrient mobilization, microbial feedbacks, and the regulation of plant growth and stress responses. By modulating soil chemical, physical, and biological properties, exudates contribute to carbon cycling, soil health, and the maintenance of ecosystem services. Moreover, they play multifunctional roles in enhancing plant tolerance to abiotic and biotic stresses, while also mediating interactions with neighboring plants. This review provides a holistic perspective on root exudation, encompassing their mechanisms and drivers, roles in rhizosphere ecology and plant stress adaptation, and methodological advances, while highlighting opportunities to harness these processes for resilient, productive, and sustainable agroecosystems. Full article