Search Results (942)

Exserohilum rostratum is a causal agent of severe maize leaf spot, posing a threat to maize production. Carbohydrate esterase (CE) can catalyze the removal of acyl modifications from plant cell wall polysaccharides, thereby promoting polysaccharide hydrolysis. A total of 87 CE genes were identified in the E. rostratum ER1 genome. In this study, we conducted a comprehensive analysis of the E. rostratum CE (ErCE) genes, including physicochemical properties, structural features, promoter cis-acting regulatory elements, and functional analysis. Subcellular localization analysis revealed that more than half of ErCEs were located extracellular. ErCEs contain abundant conserved domains, indicating functional diversity of these proteins. The promoter region of ErCE genes contains a rich variety of cis-acting regulatory elements related to plant hormone regulation, stress response, and developmental processes. Functional enrichment analysis indicated that ErCE genes are predominantly involved in metabolic pathways. In addition, the expression pattern revealed significant changes in ErCE genes during E. rostratum infection, indicating that they play an important role in pathogen invasion and lesion expansion. Overall, this study elucidated the structural characteristics and expression patterns of the CE genes in E. rostratum, providing conditions for further exploration of their roles in fungal pathogenesis and laying the foundation for the improvement of sustainable agricultural systems using related genes. Full article

Microrobot navigation in constrained environments requires path planning methods that ensure both efficiency and collision avoidance. Conventional approaches, which typically combine graph-based path finding with geometric path simplification, effectively reduce path complexity but often generate collision-prone paths because wall boundaries are not considered during simplification. Therefore, to overcome this limitation, we present Secure Angle-based Geometric Elimination (SAGE), a single-pass path-simplification algorithm that converts pixel-level shortest paths into low-complexity trajectories suitable for real-time collision-free navigation of microrobots. SAGE inspects consecutive triplets (p_i, p_i+1, p_i+2) and removes the middle point when the turning angle is smaller than threshold (∠p_ip_i+1p_i+2 ≤ θ_th) or the direct segment (p_i → p_i+2) is collision-free. Quantitative analysis shows that SAGE achieves approximately 5% shorter path length, 20% lower turning cost and 0% collision rate, while maintaining computation comparable to the Ramer–Douglas–Peucker algorithm. Integration with Dijkstra and RRT planners confirms scalability across complex maze and vascular environments. Experimental microrobot demonstrations show navigation with complete collision avoidance, establishing SAGE as an efficient and reliable framework for high-speed microrobot navigation and automation in lab-on-a-chip, chemical-reaction and molecular-diagnostic systems. Full article

The classic second-order Rayleigh equation governs the linear stability of single-phase inviscid plane flows, and its extension to two-phase inviscid plane flows with a crossflow of another fluid remains to be investigated. The present work studies the linear stability of steady uniform inviscid two-phase flow in a horizontal channel with gas bubbles injected from the lower wall and removed from the upper wall. An extended fourth-order Rayleigh equation with constant coefficients is derived for the linear stability of the two-phase uniform inviscid plane flow with the bubble crossflow injected at the bubble terminal velocity. Our analytical results show that the uniform inviscid plane flow driven by the bubble crossflow is linearly unstable with rapidly growing disturbances in the absence of the lift force. On the other hand, when the positive lift force coefficient is nearly equal to the added mass coefficient, the uniform inviscid plane flow driven by the bubble crossflow is linearly stable to the admissible disturbances consistent with the bubble-injection boundary conditions. These analytical results reveal the destabilizing effect of the bubble crossflow and confirm the stabilizing effect of the positive lift force on the inviscid plane flows, which could stimulate further research interest in the qualitatively different roles of the bubble crossflow and the lift force in the stability of inviscid plane flows as compared to viscous plane flows. Full article

Moss in container seedling nurseries competes with seedlings for water and nutrients while blocking light, thereby inhibiting growth. This study aimed to address this issue by evaluating the moss control efficacy of 11 chemical compounds, including terpinyl acetate (TA), limonene, and Hinoki essential oil (HEO). The plate experiment results led to the selection of 6 substances (TA, limonene, HEO, pine leaf extract, baking soda, pelargonic acid) that stably controlled both Polytrichum commune Hedw. and Marchantia. Polymorpha L. When TA, limonene, and HEO were combined with surfactants, moss control rates increased and showed stable performance. In the container seedling experiment, TA, limonene, and HEO demonstrated high moss control effects while exhibiting low growth inhibition. When these three substances were combined with surfactants, the electrolyte leakage index (ELI) decreased, indicating minimal cell membrane damage. Additionally, TA treatment maintained stable soil physicochemical properties with no significant changes in pH or nutrient levels. Microscopic analysis of moss cells showed cell wall deformation and expansion of intercellular spaces in the three substance treatment groups. Future verification of long-term effectiveness, expansion of application targets, and assessment of economic feasibility could lead to the development of eco-friendly moss removal agents for improving container seedling quality. Full article

Erosion caused by sediment-laden flow significantly affects the efficiency and durability of Francis turbines. In this study, the Euler–Lagrange multi-phase flow model was employed to simulate solid-liquid two-phase flow with different sediment particle sizes to analyze erosion characteristics in turbine components. The results show that the maximum erosion rate of the runner blades is positively correlated with particle impact velocity, confirming that impact velocity is the dominant factor influencing local material removal. The total erosion rate of the runner blades, guide vanes, and draft tube corresponds closely with vorticity, indicating that vortex-induced flow separation accelerates particle–wall collisions and intensifies erosion. Both vorticity and erosion exhibit a nonlinear variation with particle size, reaching a minimum at 0.05 mm. These findings establish clear qualitative and quantitative relationships between erosion and key flow parameters, providing theoretical guidance for understanding and mitigating sediment-induced wear in Francis turbines. Full article

Biodeterioration represents a major threat to cultural heritage, as microbial colonization can cause both esthetic and structural damage. The use of conventional chemical biocides raises concerns due to environmental and health risks, potential substrate deterioration, and the emergence of resistant strains. In this study, an ozone-loaded bacterial cellulose (OBC) hydrogel was investigated as an eco-friendly, broad-spectrum antimicrobial treatment in the case study of the Cryptoporticus of the Baths of Trajan (Rome, Italy), a hypogean archeological site where some structures are severely affected by phototrophic biofilms. Microorganisms isolated from a colonized wall were employed in laboratory assays. OBC hydrogel exhibited strong antimicrobial activity, with >90% bacterial mortality within 10 min, complete inhibition of fungal spore germination after 24 h, and a marked reduction in microalgal chlorophyll fluorescence comparable to heat-killed controls. Furthermore, tests on Carrara marble and brick specimens artificially contaminated with microalgae confirmed the removal of green staining, restoring surface chromatic parameters (ΔE* < 5) comparable to those obtained with a commercial biocide. In situ applications demonstrated significant suppression of green biofilm for at least two months. These findings support OBC hydrogel as a sustainable, effective, and non-toxic alternative to conventional biocides for controlling microbial and microalgal colonization on cultural heritage surfaces. Full article

Pott’s Puffy Tumor (PPT) is a rare but potentially life-threatening complication of frontal sinusitis, characterized by subperiosteal abscess formation and frontal bone osteomyelitis. Although predominantly seen in adolescents, adult cases are increasingly recognized. Early diagnosis is essential to prevent severe orbital and intracranial sequelae. We present two patients with distinct clinical features: a 31-year-old female with chronic frontal sinusitis complicated by sequestrated bone extrusion through a cutaneous fistula, and a 16-year-old male with an acute presentation of subperiosteal abscess, nasal polyp-related obstruction of the osteomeatal complex (OMC), and orbital cellulitis. Both patients underwent combined surgical and medical management, including broad-spectrum intravenous antibiotics, functional endoscopic sinus surgery, and external drainage. In the adult, necrotic bone was excised, and the anterior frontal wall was reconstructed with titanium mesh to restore sinus anatomy and drainage, while in the adolescent, early abscess drainage and polyp removal ensured frontal recess patency and prevented osteomyelitis. Postoperative follow-up demonstrated complete resolution without recurrence. These cases highlight that PPT can occur in both acute and chronic settings of chronic rhinosinusitis with nasal polyps, emphasizing the importance of prompt imaging, multidisciplinary evaluation, and individualized surgical strategies to optimize outcomes and minimize life-threatening complications. Full article

The automatic reconstruction of existing buildings has gained momentum through the integration of Building Information Modeling (BIM) into architecture, engineering, and construction (AEC) workflows. This study presents a hybrid methodology that combines deep learning with surface-based techniques to automate the generation of 3D models and 2D floor plans from unstructured indoor point clouds. The approach begins with point cloud preprocessing using voxel-based downsampling and robust statistical outlier removal. Room partitions are extracted via DBSCAN applied in the 2D space, followed by structural segmentation using the RandLA-Net deep learning model to classify key building components such as walls, floors, ceilings, columns, doors, and windows. To enhance segmentation fidelity, a density-based filtering technique is employed, and RANSAC is utilized to detect and fit planar primitives representing major surfaces. Wall-surface openings such as doors and windows are identified through local histogram analysis and interpolation in wall-aligned coordinate systems. The method supports complex indoor environments including Manhattan and non-Manhattan layouts, variable ceiling heights, and cluttered scenes with occlusions. The approach was validated using six datasets with varying architectural characteristics, and evaluated using completeness, correctness, and accuracy metrics. Results show a minimum completeness of 86.6%, correctness of 84.8%, and a maximum geometric error of 9.6 cm, demonstrating the robustness and generalizability of the proposed pipeline for automated as-built BIM reconstruction. Full article

Concurrent occurrence of two independent primary malignancies in a single dog is rare and presents diagnostic and surgical challenges. A 9-year-old neutered male Cocker Spaniel was diagnosed with adrenal pheochromocytoma and splenic diffuse large B-cell lymphoma. Abdominal imaging revealed two distinct masses. Surgical management included adrenalectomy, splenectomy, mesenteric lymphadenectomy, and excision of a small mass adherent to the portal vein adventitia. Histopathology confirmed two separate malignancies, with chromogranin A positivity supporting pheochromocytoma and CD20 positivity confirming B-cell lymphoma. No additional metastatic lesions were identified, and the portal vein-associated mass was considered an isolated lesion closely adherent to the vessel wall, with its exact pathogenesis remaining uncertain. To the authors’ knowledge, this represents the first veterinary report describing adrenal pheochromocytoma with portal vein involvement successfully managed by surgical removal. The patient recovered well and remained disease-free for three years without adjuvant therapy. This case emphasizes that, even in technically demanding situations, meticulous surgical planning and comprehensive oncologic assessment can achieve durable remission and inform future approaches to complex veterinary cancers. Full article

The spatial zoning of wall-rock alteration is a useful guide for exploration of porphyry deposits. The current techniques to typify and quantify alteration types have a component of subjectivity and may not reconcile with mineralogical observations. An alternative is to apply machine learning (ML) to classify alteration based on geochemical and mineralogical feature variables. However, classification loses accuracy because of natural and artificial short-scale variability and missing information, or because it ignores the spatial correlations of the feature variables. Here we show that these inconveniences can be overcome by replacing these variables with proxies obtained through geostatistical simulation. The use of such proxies improves the accuracy scores by eight percentual points by removing the noise affecting the feature variables and infilling their missing values. Furthermore, the uncertainty in the classification predictions can be quantified accurately. Our results demonstrate how geostatistics enriches ML to achieve higher predictive performance and handle incomplete and noisy data sets in a spatial setting. This synergy has far-reaching consequences for decision making in mining exploration, geological modeling, and geometallurgical planning. Beyond the presented pioneering application, we expect our approach to be used in supervised classification problems that arise in varied disciplines of natural sciences and engineering and involve regionalized data. Full article

Nitric acid-treated multi-walled carbon nanotubes (CNTs) have been extensively utilized for removing dissolved heavy metals from aqueous systems; however, their use as a capping material to immobilize heavy metals in sediments has rarely been investigated. Consequently, the impact of CNTs on millimeter-scale variations in pore-water heavy metal concentrations along sediment profiles remains poorly understood. In this study, CNTs were applied as a capping agent, and microelectrodes combined with high-resolution diffusive equilibrium in thin-film (HR-Peeper) samplers were employed to simultaneously obtain vertical profiles of pH, soluble copper (Cu) and lead (Pb), and dissolved oxygen (DO) in sediments in order to assess the effectiveness of CNTs in controlling the mobility of Cu and Pb. The results revealed that CNTs application markedly reduced the concentrations of soluble Cu and Pb, with maximum reduction rates of 58.69% and 64.97%, respectively. Compared with the control treatment, CNTs capping decreased the maximum release fluxes of soluble Cu and Pb by 3.78 and 1.91 µg·m⁻²·d⁻¹, respectively. Moreover, CNTs treatment enhanced the stable fractions of Cu and Pb within sediments, thereby improving the sediment’s capacity to retain these metals. Overall, this study demonstrates that CNTs can serve as an effective capping material to inhibit the leaching of Cu and Pb from sediments, offering a promising strategy for the in situ remediation of heavy metal-contaminated sediments. Full article

Thin steel plates with stiffeners are widely employed in several branches of engineering, combining mechanical strength with low weight and serving as both structural and cladding components. However, the influence of the side-wall inclination angle of hat-stiffeners on the stiffness distribution and deflection patterns of steel plates remains insufficiently explored. This study conducts computational modeling to evaluate the deflection of thin steel plates reinforced with hat-stiffeners. The plates were considered simply supported and subjected to a uniformly distributed load. The Constructal Design method and the exhaustive search technique were employed, allowing for geometric evaluation and optimization. A fraction corresponding to 30% of the plate volume was removed and redistributed to generate longitudinal hat-stiffener geometries by varying its side-wall angle and thickness. The smaller base of the hat-stiffeners was imposed as a geometric constraint and therefore kept fixed. The results indicate a nonlinear trend between the side-wall angle, the moment of inertia, and the resulting deflection, leading to a new geometrical pattern that connects the angular inclination to the overall stiffness behavior of the plate. Angles between 105° and 130° provided the best performance, reducing the maximum deflection by 93.72% compared with the reference plate and improving it by around 7.5% relative to previous studies. These findings illustrate how geometric configuration can enhance performance in line with Constructal Design principles. Full article

In order to further explore the role of infill walls in the progressive collapse resistance of reinforced concrete (RC) spatial frames, based on ANSYS/LS-DYNA finite element analysis software, the refined numerical models of pure RC spatial frames and infilled RC spatial frames were constructed, respectively. By comparing it with the experimental results, the validity and accuracy of the model are verified. Subsequently, the effects of column removal devices and infill wall openings on the progressive collapse resistance of RC spatial frames were studied. The results show that the residual displacement of the model with a complete column removal device is 238.1% higher than that of the model with an incomplete column removal device, and the stiffness is reduced by 68.8%. The results obtained by an incomplete column removal device are often unsafe. The open-hole infill wall will form a diagonal strut in the corresponding area. The strength of the strut near the fixed end has the most significant effect on the structural stiffness after the column is removed and plays a controlling role. The reduction in the effective area of the strut reduces the strength of the strut and weakens the structural stiffness. When the opening is arranged in the mid-span position, the structural stiffness decreases more significantly. Full article

Sustainable construction requires bio-based insulation materials that achieve low thermal conductivity without compromising mechanical performance. Poplar wood, which is locally abundant in France, serves as an effective carbon sink and represents a promising resource. While recent research has explored bulk wood delignification, the characterization of such modified materials remains insufficient for practical implementation. In this work, we report the development of gradient-delignified poplar wood through partial delignification using alcoholysis and sodium chlorite bleaching. This process produced a hybrid structure with delignified outer layers and a lignified core. Microscopic analyses revealed that lignin removal led to cell wall swelling and the formation of nano-scale pores. Compared to native poplar, the modified material showed lower transverse thermal conductivity (0.057 W·m⁻¹·K⁻¹), higher specific heat capacity (1.4 kJ·K⁻¹·kg⁻¹ at 20 °C), increased hygroscopicity, and reduced longitudinal compressive strength (15.9 MPa). The retention of the lignified core preserved dimensional stability and load-bearing capacity, thereby overcoming the limitations of complete delignification. In contrast to synthetic foams or mineral wools, these findings demonstrate that partial delignification can produce anisotropic wood-based insulation materials that combine thermal efficiency, mechanical stability, and biodegradability. This work highlights the potential of wood modification nanotechnology to reduce the carbon footprint of building materials. Full article

This study aimed to clarify the interactions between cobalt-adsorbed Chlorella vulgaris cells and amine-functionalized maghemite nanoparticles, focusing on nanoparticle adsorption to the algal surface and the subsequent magnetic sedimentation of the formed complexes. The combined process of cobalt uptake by algae and secondary binding of magnetic nanoparticles demonstrates a promising and sustainable strategy for heavy metal removal from industrial wastewater. The adsorption capacity of Chlorella vulgaris was assessed, achieving 96 ± 2% Co²⁺ removal, followed by magnetic separation using γ-Fe₂O₃ nanoparticles. The subsequent magnetic separation of the cobalt-adsorbed biomass achieved efficiencies ranging from 57.43% to 97.64% within a 60 s timeframe, demonstrating a significant enhancement over conventional sedimentation methodologies. Stable nanoparticle–biomass binding was facilitated by electrostatic interactions between protonated amine groups on the surface of amine-functionalized maghemite particles and the negatively charged functional groups of the algal cell wall, complemented by the contribution of hydroxyl and carboxyl groups. The even distribution of amine-functionalized maghemite nanoparticles on algal surfaces was further validated by Transmission Electron Microscopy (TEM) imaging, and the strong magnetic properties of the nanoparticles enabled rapid and efficient separation under an external magnetic field. This study underscores the promise of integrating Chlorella vulgaris with amine-functionalized maghemite nanoparticles as a cost-effective, biocompatible, and environmentally sustainable approach for large-scale heavy metal removal from industrial wastewater. Full article