Search Results (719)

Rotary-percussive drilling is extensively used for efficient hard rock breakage, and the performance of impregnated diamond bits (IDBs) is primarily governed by matrix characteristics and diamond parameters. However, under impact conditions, diamonds do not behave as static cutting elements. Instead, they undergo a continuous cycle of microfracture (creating fresh sharp edges), intact retention (maintaining stability), and matrix wear-induced exposure (renewal). This work reveals this impact-driven dynamic balance mechanism. Fe-based matrix IDBs with different carbon fiber contents (regulating matrix hardness) and diamond parameters (concentration, particle size) were fabricated to study the effects of relevant parameters on bit wear and drilling performance under rotary-percussive drilling conditions. Within the experimental scope, it was found that carbon fiber can reduce the torque during drilling. The optimal balance of the three phases occurs at a matrix hardness of 95.8 HRB, where the combined proportion of micro-fracture and whole diamonds reaches 69.9% and emerging diamonds 12.9%, yielding the highest wear performance index α = 0.236. With increasing diamond concentration, the rate of penetration (ROP) and diamond exposure height decreased and the proportion of blunt diamond increased; the best balance is at an 80% concentration (α = 0.213). When the diamond mesh size increases, the ROP decreases rapidly, the torque first decreases and then increases, the proportion of whole diamonds first increases and then decreases, and the proportion of pull-out diamonds first decreases and then increases. The optimal mesh size is #50/60 (α = 0.241). This study not only provides parameter optimization, but also offers a mechanical understanding of how impact controls diamond self-sharpening and renewal, providing a new foundation for designing IDBs for impact rotary drilling. Full article

Mining activities can generate effluent contamination with potentially toxic elements such as iron (Fe) and manganese (Mn), posing environmental and technological challenges, particularly during mine closure and the decommissioning of mining structures. Constructed wetlands have been proposed as a nature-based, passive, and low-cost alternative for treating mining effluents; however, the mechanisms, controlling factors, and performance patterns governing Fe and Mn removal remain insufficiently synthesized across different wetland configurations and effluent types. This study performs a systematic review combined with a meta-analysis to synthesize Fe and Mn removal mechanisms, quantify removal performance, and identify the operational, hydraulic, physicochemical, and biological factors influencing system performance. A total of 55 primary studies were analyzed, comprising 155 observations for Fe and 96 for Mn. The results indicate that Fe removal is generally high (medianln(RR)ln(RR) = −1.89), whereas Mn removal is more variable and less efficient (medianln(RR)ln(RR) = −0.59), highlighting the greater complexity of Mn removal processes. Fe removal was mainly associated with hydraulic retention time and pH, while Mn removal was more strongly influenced by redox conditions and the type of support material, particularly mineral substrates. Overall, wetland performance is governed by the interaction among hydraulic retention time, pH buffering, redox conditions, support media reactivity, vegetation-mediated rhizosphere processes, and influent geochemistry. A significant research gap remains regarding neutral mine drainage (NMD), since this effluent category was not explicitly reported in the primary studies and could not be robustly isolated as an independent subgroup, especially in relation to Mn removal efficiency. Full article

Dam constructions alter the river flow, leading to a cascade of physical, chemical, and biological changes in the ecosystem’s structure and function. This study presents a systematic framework for assessing the impact of these built structures on adjacent surface water bodies. The approach integrates mandatory long-term monitoring data with a multivariate statistical approach (Partial Least Squares Discriminant Analysis, PLS-DA) to provide a robust assessment of fourteen of Bulgaria’s major and significant reservoirs’ influence on nearby rivers and streams. Datasets for studied reservoirs include basic physicochemical parameters, and for 8 out of 14 dams—potentially toxic elements (PTEs). To assess the influence of each reservoir on the river, two sampling locations were selected per dam: upstream (U) and downstream (D). Results for the water quality parameters, identified as significant discriminators in each PLS-DA model, are presented. A clear upstream dominance was observed for Pchelina, Saedinenie, and Ticha, a strong downstream pattern was observed for Dospat and Yovkovtsi, and a mixed spatial pattern for the remaining dams. The hierarchical clustering revealed three groups of parameters studied. The first cluster (EC, NO₂⁻, NO₃⁻, TN) likely reflects diffuse inputs. The second cluster (TP, PO₄³⁻) describes the relationship between total and dissolved phosphorus fractions. The third cluster (pH, NH₄⁺, DO, BOD) highlights organic matter decomposition and oxygen dynamics. The results highlight that reservoir impacts are governed by the interplay of hydrological conditions, catchment characteristics, and in-reservoir biogeochemical processes, leading to distinct functional behaviours such as retention, transformation, or release of substances. Full article

To address soil degradation and pest accumulation in facility agriculture, this study developed an in situ soil-turning plow for deep soil inversion under spatially constrained greenhouse conditions. A reference plow surface was obtained by reverse engineering, and the final in situ plow surface was reconstructed using plow-body forming theory and a constrained soil-turning trajectory. Soil contact parameters were calibrated in EDEM using the measured soil moisture content and angle of repose. An in situ furrow soil retention rate was proposed to evaluate the proportion of disturbed soil remaining within or returning to the original furrow region. Plackett–Burman screening identified plowing width, plow-body installation angle, and soil-cutting angle as the main factors affecting the retention rate. Box–Behnken optimization yielded optimal values of 278.392 mm, 40.522°, and 23.211°, respectively, with a predicted retention rate of 81.166%. Physical validation showed a 3.13% relative error between predicted and measured values. The optimized plow provides a design reference for compact deep-tillage machinery in greenhouses where lateral soil displacement must be minimized. Full article

Ferritin, a natural cage-like protein, can be applied as a nanomaterial to encapsulate and deliver bioactive ingredients, while challenges remain when using ferritin to deliver multiple bioactive ingredients. In this study, a ferritin–zinc ion–alginate oligosaccharide (AOS) core–shell complex (FZA) and hydrophobic astaxanthin (AST) were applied as the water and oil phase to prepare oil-in-water emulsions simultaneously containing mineral element and hydrophobic AST. The ferritin works as a multicompartment carrier to encapsulate the Zn²⁺ ions and bind with the AOS. This emulsion exhibited smaller particle size and higher apparent viscosity, elastic modulus, and anti-delamination stability. After heat treatment, natural light irradiation, and ultraviolet irradiation, the retention rates of AST in FZA-stabilized emulsion were increased by 23.09%, 18.25%, and 19.24%, respectively, compared with AST dissolved in oil. The release rate of AST in FZA-stabilized emulsion was increased by 26.97% compared with that dissolved in oil in vitro digestion simulation, and release rate of Zn²⁺ ions in FZA-stabilized emulsion improved by 20.38% relative to the control. This study provides experimental evidence for the emulsion stabilized by the AOS and ferritin multi-interface, which achieves dual co-delivery and protection of mineral and hydrophobic molecules. Full article

Hydrogels (HGs), three-dimensional cross-linked hydrophilic polymer networks, have emerged as a promising class of functional materials for sustainable agriculture due to their exceptional water retention capacity, responsiveness to environmental stimuli, and favorable biocompatibility. This review systematically summarizes the key functional properties of hydrogels and critically examines their multidimensional roles within agricultural systems. The major synergistic benefits of hydrogels are highlighted, including (1) improvement of soil physical structure, chemical properties, and the biological microenvironment, thereby facilitating soil remediation; (2) direct enhancement of seed germination, root development, and crop productivity when employed as soil amendments or seed-coating materials; (3) controlled and sustained release of water, nutrients (N, P, K, and trace elements), and pesticides, leading to significant improvements in resource use efficiency; (4) functional delivery of beneficial microorganisms, enabling precise regulation of their activity and efficacy; and (5) advancement of soilless cultivation technologies through the development of sophisticated hydrogel-based substrates. Furthermore, this review discusses the key challenges that currently limit large-scale agricultural implementation, including insufficient biodegradability, potential ecotoxicological risks, and techno-economic constraints. Finally, future research directions are proposed from an interdisciplinary perspective, emphasizing rational material design, performance optimization, and practical field application. This comprehensive review aims to provide systematic theoretical guidance and practical insights for the development and deployment of hydrogel-based technologies in sustainable agriculture. Full article

Accurate and real-time detection of maize foliar diseases is important for field disease monitoring and yield protection. However, in complex natural field environments, different diseases often exhibit high visual similarity, and early weak lesions are easily confused with background elements such as dry leaves, soil, and shadows, leading to false positives and missed detections in existing models. To address these challenges, this study proposes an improved lightweight maize foliar disease detection model based on YOLO11, termed CKM-YOLO11. First, a mixed local channel attention mechanism is introduced and adapted to the task in the backbone to construct the C3k2-MLCA module, thereby enhancing joint modeling of local lesion textures, edge details, and global contextual information. Second, a lightweight residual attention module, named MLCA-HeadLite, is designed at the P5 layer of the neck/head to alleviate the suppression of weak lesion responses during deep feature fusion. Experimental results demonstrate that the proposed model achieves an mAP@50 of 81.5% on a self-constructed maize disease dataset with complex field backgrounds, improving mAP@50 and mAP@50–95 by 3.2 and 3.4 percentage points, respectively, compared with the baseline YOLO11, while maintaining a low parameter count and computational cost. Further analyses based on the confusion matrix, comparisons of detection results, and Grad-CAM visualizations indicate that the proposed model performs better in background suppression, retention of weak lesion responses, and robustness in complex scenes. This study provides a reference for the lightweight design of maize foliar disease detection models in complex field environments and their deployment on agricultural edge devices. Full article

To clarify the control mechanism of water quality parameters on metal particle release from pipe scales in aging ductile iron water supply pipelines (service life > 20 years), this study conducted single-factor experiments to explore the effects of pH, temperature, concentration of humic acid (HA) and Mn²⁺ on Fe, Mn, and Al particle release. Combined with inductively coupled plasma optical emission spectrometry (ICP-OES) for quantitative detection, first-order/second-order kinetic fitting, and X-ray diffraction (XRD) and scanning electron microscopy-energy dispersive spectrometry (SEM-EDS) characterization, the results showed that an increase in temperature generally promoted the aggregation and sedimentation of metal particles, among which Fe and Mn particles were more sensitive to temperature changes. pH affected the sedimentation process by controlling metal ion speciation and particle surface charge: low pH significantly accelerated pipe scale dissolution, while weakly alkaline conditions prolonged particle suspension time. Low-concentration HA (0.5 mg/L) promoted particle dissolution, whereas high-concentration HA (1.0–2.0 mg/L) extended particle retention time through surface coating. Mn²⁺ concentration exhibited an obvious concentration-dependent effect: the range of 20–50 μg/L enhanced particle suspension stability, while 80–100 μg/L accelerated particle aggregation and sedimentation. The pipe scales mainly consisted of Fe₃O₄, Fe₂O₃, Mn₃O₄, and Al₂O₃, with metal release regulated by the “element complexation–particle aggregation–crystal growth” pathway. Particle sedimentation followed first-order kinetics. Controlling pH at 7.0, temperature < 30 °C, and reducing HA/Mn²⁺ concentrations effectively weakened metal particle migration. This study reveals the coupled effect mechanism of water quality parameters, providing theoretical and technical support for optimizing water quality control and solving the “yellow water” problem. Full article

Cognitive load theory-informed curriculum design in health sciences education refers to the purposeful organisation of teaching strategies and learning materials based on the principles of Cognitive Load Theory (CLT), a framework developed by John Sweller in the late 1980s. CLT is grounded in cognitive psychology and recognises that the working memory has a limited capacity for processing new information. It identifies three types of cognitive load: intrinsic load, which refers to the inherent complexity of the material being learned; extraneous load, which results from ineffective instructional design or irrelevant information; and germane load, which reflects the mental effort directed toward understanding, integrating, and organising information into long-term memory. In health sciences education, students frequently engage with tasks that require the simultaneous processing of multiple interacting elements, placing high demands on working memory at specific points in time. This includes foundational biomedical sciences such as anatomy, physiology, and pathophysiology extending to applied clinical skills, diagnostic reasoning under uncertainty, health service management within complex systems, and ethically grounded decision-making. Without thoughtful instructional design, learners may be overwhelmed by excessive information and cognitive demands, which can hinder understanding, retention, and performance. Applying CLT-informed strategies, educators can reduce unnecessary cognitive burden, sequence learning activities to align with learners’ cognitive capacity, and promote deeper learning. This approach supports more effective knowledge acquisition and transfer and is particularly valuable in content dense academic environments such as medicine, nursing, allied health education, public health and health service management education. Therefore, integrating CLT-informed principles into curriculum design can help optimise learning experiences and support the development of competent health professionals. Full article

This study investigates the influence of various manganese sources—specifically MnCO₃, Mn₃O₄, and MnO₂—on the performance of lithium manganese iron phosphate (LMFP) synthesized through a combined spray-drying and chemical vapor deposition (CVD) strategy. The synthesis protocol involved the initial formation of a precursor through the co-sintering of manganese, phosphorus, iron, and dopant sources via CVD, followed by secondary spray-drying and carbon thermal reduction with Li₂CO₃ and carbon additives. Morphological analysis via Scanning Electron Microscopy (SEM) and laser diffraction indicates that Mn₃O₄-derived LMFP possesses highly spherical secondary structures comprising well-crystallized, uniformly distributed primary particles. Elemental mapping via Energy Dispersive Spectroscopy (EDS) confirms a homogeneous distribution of stoichiometric elements without localized segregation, alongside the successful lattice integration of dopants. In contrast, the MnCO₃-derived samples exhibited deleterious carbon accumulation on the primary particle surfaces. Consequently, the Mn₃O₄-based LMFP demonstrated superior electrochemical kinetics, delivering a remarkable initial discharge capacity of 148.9 mAh g⁻¹ at 1C, with an exceptional capacity retention of 97.9% after 100 cycles. These findings underscore the critical role of precursor selection in optimizing the interfacial and bulk properties of high-performance LMFP cathodes. Full article

Classic Hodgkin lymphoma (cHL) is a distinctive B-cell malignancy defined by the presence of scarce but pathobiologically dominant Hodgkin Reed-Sternberg (HRS) cells within an inflammatory tumor microenvironment (TME). Although representing less than 10% of total tumor cellularity, HRS cells shape the TME by recruiting and functionally polarizing immune and stromal elements through cytokine- and chemokine-mediated signaling. Morphologically, HRS cells are large, atypical, often binucleated or multinucleated cells with prominent eosinophilic nucleoli and abundant cytoplasm, giving rise to the classic “owl’s eye” appearance. Distinct morphological variants—including lacunar, mummified, mononuclear, and anaplastic forms—contribute to the histopathologic diversity across cHL subtypes such as nodular sclerosis, mixed cellularity, lymphocyte-rich, and lymphocyte-depleted disease. The immunophenotype of HRS cells is equally characteristic, with strong and uniform CD30 expression, frequent CD15 positivity, reduced expression of B-cell markers (CD20, CD79A/B), and partial retention of PAX5, reflecting profound lineage dysregulation. Aberrant expression of activation markers and immune-evasion molecules, including PD-L1 driven by recurrent 9p24.1 amplification, underscores their capacity for immune escape. Genetically, HRS cells display alterations affecting NF-κB, JAK/STAT, and PI3K/AKT pathways, facilitated by somatic mutations, chromosomal gains, and epigenetic remodeling that silence B-cell-defining genes. Despite reprogramming, clonality and somatic hypermutation patterns confirm their origin from germinal center B-cells, even in EBV-associated cases. Collectively, the morphology, phenotype, and genotype of HRS cells reveal a complex pathogenic network in which intrinsic oncogenic pathways and extrinsic TME interactions co-operate to sustain malignant transformation. Understanding these integrated mechanisms provides a biological foundation for current therapeutic strategies. Full article

Stone coal is an important vanadium-bearing resource and a potential source of rare earth elements (REEs). Previous studies have mainly focused on the bulk occurrence, resource potential, and leaching behavior of V or REEs in stone coal, whereas the microscale spatial relationships between V and REEs and their evolution during leaching remain poorly constrained. In this study, three representative stone coal samples were analyzed by synchrotron radiation micro-X-ray fluorescence (μXRF) to characterize the microscale distributions of V and REEs in raw samples and corresponding leaching residues. Pearson correlation analysis was further used to quantify changes in V–REE spatial relationships during leaching. The results showed that V–REE relationships were generally weak and were modified to different extents after leaching. In the GZ sample, the V–Eu correlation coefficient decreased from 0.63 to 0.34, indicating that the migration of V and REEs was not fully synchronized. The three samples also showed different REE distribution tendencies after leaching: GZ showed partial transfer of REEs to the leachate with residual retention, PX showed mixed behavior with appreciable retention in the residue, whereas PZ retained REEs predominantly in the residue. These results suggest that the integrated utilization of V and REEs in stone coal can be better achieved through a staged recovery route, in which the REE recovery pathway is determined according to their actual distribution between the leachate and the residue after V leaching. This study provides a microscale basis for the comprehensive utilization of coal-related critical metal resources. Full article

Finite-volume gravity currents frequently encounter bottom obstacles, particularly in underwater environments such as lakes and oceans. However, how obstacle–current interactions reorganize Lagrangian transport pathways and ultimately determine the fate of fluid elements over the full current life cycle remains unclear. Using large-eddy simulations, we focus on a low-volume lock-exchange gravity current impinging on an isolated two-dimensional triangular obstacle. Fluid-element trajectories are tracked from collapse through propagation, obstacle interaction, and final dilution and decay, and are classified using K-means clustering into five transport modes linked to characteristic flow structures. We find that increasing obstacle slenderness strengthens upstream reflection and reduces downstream overflow, thereby shifting the fate of tracer particles from downstream delivery toward upstream retention. In addition, the obstacle standoff distance controls the dynamical state of the current at impact, producing systematic yet non-monotonic changes in the fractional population of the transport modes. This study establishes an explicit correspondence between evolving flow structures and clustered Lagrangian pathways. Comparative cases with varying geometric configuration, density contrast, flow depth, and release volume indicate that the identified transport patterns are reasonably robust. Therefore, the present results provide a fate-oriented predictive framework and theoretical basis for the transport of finite-volume gravity currents near obstacles, with important implications for engineering applications. Full article

The effect of A-site substitution on the morphological and electrochemical properties of La_1-xSr_xMnO₃ (x = 0, 0.25, 0.50) perovskites was investigated to evaluate their potential as electrode materials for supercapacitors. X-ray diffraction analysis confirmed the formation of the perovskite structure, with minor peak shifts and distortion of crystal structure induced by Sr substitution. Scanning electron microscopy analysis revealed irregularly shaped particulate morphology across all perovskite compositions. The increasing amount of Sr as in La_0.5Sr_0.5MnO₃ (LSM-50) favored the formation of nanosized particles, and energy dispersive X-ray (EDX) analysis confirmed the presence of all constituent elements; EDX elemental mapping also showed a uniform distribution of all elements in the various perovskite compositions. Among all compositions, La_0.75Sr_0.25MnO₃ (LSM-25) possessed the highest specific capacitance (C_sp) of 483 Fg⁻¹ at 1 Ag⁻¹ current density in 3 M KOH electrolyte, as determined by electrochemical analysis. This perovskite material also exhibited a capacitance retention of 87.8% after 5000 charge–discharge cycles. Electrochemical impedance spectroscopy revealed that LSM-25 showed the lowest solution resistance (0.68 Ω*cm²) and charge transfer resistance (1.52 Ω*cm²), indicating strong electrode–electrolyte interaction. Detailed analysis of cyclic voltammetry data revealed that the predominant charge storage mechanism was diffusive in nature, with 88% of the diffusive contribution registered for LSM-25. These findings demonstrate that Sr substitution at the A-site significantly enhances the energy storage performance of LaMnO₃, making it a promising candidate for supercapacitor applications. Full article

The evaluation of potentially toxic element concentrations (PTEs) in soils and plants is essential for understanding environmental quality and potential human exposure in areas affected by intense anthropogenic activity. This study addresses a research gap in the Valencian Region, focusing on soil–plant interactions of PTEs in urban and industrial environments. We assess the status of the soil–plant system in a region of the Valencian Community (eastern Spain) subjected to strong urban, industrial and agricultural pressure. A total of 55 soil samples and 47 plant samples were collected from agricultural, urban and industrial sites and analysed for soil properties, major elements (Al, Mg, Fe) and PTEs (As, Cd, Co, Cr, Cu, Li, Mn, Ni, Sr, V and Zn). Land use significantly influenced soil physicochemical characteristics, with clear differentiation among environments. Soil texture and organic matter were the main factors controlling element retention, while Al, Fe and Mg dominated the geochemical composition, consistent with Mediterranean calcareous soils. Correlation analyses revealed strong co-occurrence patterns among lithogenic elements (e.g., Fe-Al, r = 0.917 p < 0.01), soil texture and chemical properties, indicating a shared origin and preferential retention in the fine fraction and soil organic matter. Contamination indices identified potential environmental risk mainly associated with Cu, Pb, Sr and Zn, particularly in densely populated areas. Mean concentrations of Cd, Cr, Cu, Pb and Zn were, respectively, 0.63 mg kg⁻¹, 42.25 mg kg⁻¹, 31.49 mg kg⁻¹, 56.91 mg kg⁻¹ and 76.08 mg kg⁻¹. These elements exceeded Spanish regulatory reference values in several soils. Bioaccumulation indices indicated notable plant uptake of As, Sr and Zn, highlighting their potential for trophic transfer. Full article