Search Results (77)

A monocular deflectometric system comprises a camera and a screen that collaboratively facilitate the reconstruction of a specular surface under test (SUT). This paper presents a methodology for solving the slope distribution of the SUT utilizing pose estimation derived from reflections, based on vision ray calibration (VRC). Initially recorded by the camera, an assisted flat mirror in different postures reflects the patterns displayed by a screen maintained in a constant posture. The system undergoes a calibration based on the VRC to ascertain the vision ray distribution of the camera and the spatial relationship between the camera and the screen. Subsequently, the camera records the reflected patterns by the SUT, which remains in a constant posture while the screen is adjusted to multiple postures. Utilizing the VRC, the vision ray distribution among several postures of the screen and the SUT is calibrated. Following this, an iterative integrated calibration is performed, employing the calibration results from the preceding separate calibrations as initial parameters. The integrated calibration amalgamates the cost functions from the separate calibrations with the intersection of lines in Plücker space. Ultimately, the results from the integrated calibration yield the slope distribution of the SUT, enabling an integral reconstruction. In both the numeric simulations and actual measurements, the integrated calibration significantly enhances the accuracy of the reconstructions when compared to the reconstructions with the separate calibrations. Full article

Pleurotus ostreatus, classified under the phylum Basidiomycota, order Agaricales, and family Pleurotaceae, is a prevalent gray edible fungus. Its physical damage not only compromises quality and appearance but also significantly diminishes market value. This study proposed an enhanced method for detecting Pleurotus ostreatus damage based on an improved YOLOv8n model, aiming to advance the accessibility of damage recognition technology, enhance automation in Pleurotus cultivation, and reduce labor dependency. This approach holds critical implications for agricultural modernization and serves as a pivotal step in advancing China’s agricultural modernization, while providing valuable references for subsequent research. Utilizing a self-collected, self-organized, and self-constructed dataset, we modified the feature extraction module of the original YOLOv8n by integrating a lightweight GhostHGNetv2 backbone network. During the feature fusion stage, the original YOLOv8 components were replaced with a lightweight SlimNeck network, and an Attentional Scale Sequence Fusion (ASF) mechanism was incorporated into the feature fusion architecture, resulting in the proposed OMB-YOLO model. This model achieves a remarkable balance between parameter efficiency and detection accuracy, attaining a parameter of 2.24 M and a mAP@0.5 of 90.11% on the test set. To further optimize model lightweighting, the DepGraph method was applied for pruning the OMB-YOLO model, yielding the OMB-YOLO-tiny variant. Experimental evaluations on the damaged Pleurotus dataset demonstrate that the OMB-YOLO-tiny model outperforms mainstream models in both accuracy and inference speed while reducing parameters by nearly half. With a parameter of 1.72 M and mAP@0.5 of 90.14%, the OMB-YOLO-tiny model emerges as an optimal solution for detecting Pleurotus ostreatus damage. These results validate its efficacy and practical applicability in agricultural quality control systems. Full article

Gas extraction is the main method to reduce the gas content of a coal seam and prevent coal and gas outburst. The sealing depth is one of the key parameters affecting the sealing effect. The principle of the high-density direct current method is to lay electrodes underground, and by injecting a stable DC current into the underground medium, the potential difference is measured to calculate the apparent resistivity, which reflects the difference in electrical conductivity of the underground rock or coal body, and then inferring the physical characteristics, such as its structure, water content, or stress state. Based on the basic principle of the high-density direct current method, this study analyzed the change rule of resistivity after the secondary stress of the roadway; tested the distribution of the roadway stress field in Juji Mine; and finally, determined the sealing depth of this coal seam. The main conclusions were as follows: The resistivity of the loose crushing zone after the roadway disturbance stress corresponded to the plasticity and destruction stage of the coal body, and the resistivity was larger compared with that of the original rock stress area. The stress concentration zone corresponded to the compression stage, where the destruction of the coal and rock state was smaller, and the resistivity was smaller compared with that of the original rock stress area. The range of the loose circle of the roadway of the coal seam was 6 m, and the range of the stress concentration zone was 6–17.5 m. The range of resistivity changes of the loose crushing zone was larger, and it had a large range of resistance, which had a good effect. The resistivity of the loose broken zone varied widely and was random, while the visual resistivity of the stress concentration zone was basically the same and was stable. Full article

Compared with powder metallurgy, centrifugal casting, jet molding, and other technologies, Laser Melting Deposition (LMD) stands out as an advanced additive manufacturing technology that provides substantial advantages in the melt forming of functional gradient materials and composites. However, when high-temperature and high-speed laser energy is applied, the resulting materials are susceptible to porosity, which restricts their extensive use in fatigue-sensitive applications such as turbine engine blades, engine connecting rods, gears, and suspension system components. Since fatigue cracks generally originate near pore defects or at stress concentration points, it is crucial to investigate evaluation methods for pore defects and stress concentration in LMD applications. This study examines the effect of pore defects on stress concentration in LMD-manufactured AlSi10Mg using the crystal plasticity finite element method and proposes a stress concentration coefficient characterization approach that considers pore size, morphology, and location. The simulation results indicate a competitive mechanism between pores and grains, where the larger entity dominates. Regarding the influence of aspect ratio on stress concentration, as the aspect ratio decreases along the stress direction, the stress concentration increases significantly. When pores are just emerging from the surface (s/r = 1), the stress concentration caused by the pore reaches its maximum, posing the highest risk of material failure. To assess the extent to which the aspect ratio, position, and size of pores affect stress concentration, a statistical correlation analysis of these variables was conducted. Full article

The Moe Yun Gyi constructed wetland in Myanmar, located along the East Asian–Australian bird migration path, serves as a crucial habitat for migrating waterbirds. Protecting this biodiverse habitat is crucial in the face of ongoing threats, highlighting the need for effective conservation strategies. This study aims to evaluate the effects of the restoration on the populations of waterbirds from January 2014 to January 2024, by analyzing the composition and the spatiotemporal dynamics of waterbirds communities, with particular reference to changes in diversity. We measured waterbird quantity and species richness using the point count method, employing the Shannon-Wiener and D_G–F Index formulae for diversity analysis. Habitat analysis was conducted with ArcGIS 10.6 and eCognition 10.3, while data analysis utilized RStudio and Microsoft Excel. The results indicate that restoration efforts in 2016 initially led to a decline in waterbird populations. Restoration efforts after 2017 resulted in a twofold increase in both diversity and abundance. However, in 2023, flooding in Bago City caused a decline in waterbird populations, impacting habitat rehabilitation. There was a notable rise in uncommon waterbird populations, especially threatened Pelecaniformes. The community’s richness has partially recovered, but seasonal water level volatility continues to impact diversity. The application of restoration techniques directly alters the extent and depth of water bodies, which are essential parameters for supporting appropriate waterbird habitats. We propose implementing a rational system for managing water levels, optimizing wetland hydrology, and enhancing water level regulation to safeguard significant resting areas along migration paths. Full article

The dynamic response of tall bridge piers with varying damping ratios under three-dimensional pulse ground motion remains insufficiently understood. To control the pulse characteristic parameters accurately and eliminate interference from actual seismic records, this study uses the earthquake wave synthesis software to generate three pulse seismic waves and non-pulse seismic waves with varying seismic characteristic periods. The dynamic response analysis of tall bridge piers under one-dimensional, two-dimensional, and three-dimensional seismic input conditions is carried out. The influence mechanism of pulse effect, damping ratio and ground motion dimension on structural response is mainly discussed. The results show that the peak displacement and peak shear stress response of tall bridge pier structures under pulse ground motion are 0.0614 m and 0.1727 MPa larger than those under non-pulse ground motion, respectively. The responses of the displacement and shear stress of the tall bridge pier subjected to pulse ground motion exceed those under non-pulse ground motion. When the action time exceeds 18 s, the influence on the displacement and shear stress time history curve of the tall bridge pier is ranked as follows: pulse ground motion > damping ratio > non-pulse ground motion. Under multidimensional non-pulse ground motion, the maximum errors in peak displacement at the Z section and peak shear stress at the YZ section of a tall bridge pier are 0.05% and 5.27%, respectively. These errors increase to 0.67% and 1.68% under multidimensional pulse ground motion, respectively. Compared with one-dimensional seismic conditions, two-dimensional and three-dimensional ground motions result in smaller displacement and shear stress errors at the Z section, but larger errors at the X section, particularly for peak displacement and shear stress at the YZ section. This highlights the greater complexity of multidimensional seismic forces and their varying impacts on different sections of tall bridge piers. Full article

Phase measuring deflectometry (PMD) plays a more and more significant role in the measurement of specular surfaces. However, most of the deflectometric methods are only suitable for continuous specular surfaces, but not for the discontinuous surfaces. In this work, with the hardware of stereoscopic PMD, a mechanism is introduced so that a specular surface can be reconstructed iteratively with the pre-known coordinate of a reflecting point. Based on the mechanism and the excellent local properties of the B-spline surface, a reconstruction method suitable for both kinds of specular surfaces is proposed. Meanwhile, to resist the noise of the single point, this work mathematically analyzes the mechanism of the method. With the mathematical conclusion, the sparse point cloud solved using stereoscopic PMD is employed to scale the B-spline surfaces, improving the accuracy of reconstruction. Simulated and actual experiments are carried out, and the results show high accuracy and robustness of the PMD system and the reconstruction method. Full article

Lysosome-associated membrane glycoproteins (LAMPs), including lysosomal membrane protein 1 (Lamp1) and lysosomal membrane protein 2 (Lamp2), are involved in phagocytosis, chaperone-mediated autophagy (CMA), and other pathways that interact with lysosomal activity. However, the role of Lamp2 in teleosts has not been clarified. In this study, we investigated the functions of lamp2 genes during Vibrio vulnificus infection. We achieved subcellular localization of the lamp2 gene at the cellular level and performed overexpression and RNA interference experiments followed by Lipopolysaccharides (LPS) stimulation to probe the expression changes of related genes. Ultrapathology analysis of the head-kidney revealed an increase in lysosomes and the formation of autophagosomal vesicles after V. vulnificus infection, suggesting that lysosomes bind to autophagosomes. The lamp2 gene, encoding 401 amino acids in Cynoglossus semilaevis, was constitutively expressed in all examined tissues of healthy half-smooth tongue sole, with the highest expression in blood. A challenge test was conducted to assess the response of half-smooth tongue sole (Cynoglossus semilaevis) to different concentrations of V. vulnificus. The results showed that the relative expression of lamp2 and its related genes—lc3, rab7, vamp8, atg14, stx17, snap29, ctsb, and ctsd—varied with time and concentration in the gill, spleen, head-kidney, blood, liver, and gut tissues. From the results of lamp2 gene overexpression and RNA interference experiments, it is hypothesized that lamp2 positively regulates lc3, rab7, vamp8, snap29, and stx17, and negatively regulates ctsd and ctsb. Our findings provide new primary data for the function of lamp2 gene in the half-smooth tongue sole., particularly its role in regulating the immune response against V. vulnificus. Full article

Crop rotation enhances soil fertility and health by modulating microbial communities, with soil organic carbon (SOC) dynamics governed by aggregate–microbial interplay. To date, the effects of different crop rotations on SOC fractions and relevant bacterial communities at aggregate scales remain uncertain. Here, a 17-year field experiment was used to reveal the effects of maize monoculture (MM), soybean monoculture (SS), and maize and soybean rotation on the SOC fractions and bacterial communities. Compared with the SS treatment, only the MS treatment significantly increased the particulate organic carbon (POC) content at the aggregate scale. Nevertheless, higher mineral-associated organic carbon (MaOC) contents were observed under the MS and MM treatments than under the SS treatment. The microbial co-occurrence networks for macro- and microaggregates were divided into three main ecological clusters. The specific taxa in Cluster 1 and Cluster 2 are involved in SOC fraction turnover within macro- and microaggregates, respectively. In total, the Vicinamibacteraceae-driven Cluster 1 community dominated the MaOC turnover process within macroaggregates, whereas the Actinobacteria- and Pyrinomonadaceae-driven Cluster 2 communities changed the MaOC turnover process within microaggregates. This study strengthens our understanding of the role of the microbial community in the accumulation of SOC fractions under different crop rotation practices. Full article

In this study, the effect of Metarhizium spp. M. marquandii on the seed germination of cabbage, a cruciferous crop, was investigated. The effects of this strain on the seed germination vigor, bud growth and physiological characteristics of Chinese cabbage were analyzed by a seed coating method. The results showed the following: (1) The coating agent M. marquandii SGSF043 could significantly improve the germination activity of Chinese cabbage seeds. (2) The strain concentration in the seed coating agent had different degrees of regulation on the antioxidase system of the buds, indicating that it could activate the antioxidant system and improve the antioxidant ability of the buds. (3) When the concentration of M. marquandii SGSF043 was 5.6 × 10⁶ CFU/mL (average per grain), the effect of M. marquandii SGSF043 on the leaf hormones Indole Acetic Acid (IAA), Gibberellic Acid (GA) and Abscisic Acid (ABA) of Chinese cabbage seedlings was significantly higher than that of other treatment groups, indicating that the strain could optimize the level of plant hormones. (4) M. marquandii SGSF043 could induce the expression of stress-resistance-related genes in different tissue parts of Chinese cabbage and improve the growth-promoting stress resistance of buds. This study showed that M. marquandii SGSF043 could not only improve the germination vitality of Chinese cabbage seeds but also enhance the immunity of young buds. The results provide a theoretical basis for the application potential of Metarhizium marquandii in agricultural production. Full article

The precise identification of maize kernel varieties is essential for germplasm resource management, genetic diversity conservation, and the optimization of agricultural production. To address the need for rapid and non-destructive variety identification, this study developed a novel interpretable machine learning approach that integrates low-field nuclear magnetic resonance (LF-NMR) with morphological image features through an optimized support vector machine (SVM) framework. First, LF-NMR signals were obtained from eleven maize kernel varieties, and ten key features were extracted from the transverse relaxation decay curves. Meanwhile, five image morphological features were selected using the recursive feature elimination (RFE) algorithm. Before modeling, principal component analysis (PCA) was used to determine the distribution features of the internal components for each maize variety. Subsequently, LF-NMR features and image morphological data were integrated to construct a classification model and the SVM hyperparameters were optimized using an improved differential evolution algorithm, achieving a final classification accuracy of 96.36%, which demonstrated strong robustness and precision. The model’s interpretability was further enhanced using Shapley values, which revealed the contributions of key features such as Max Signal and Signal at Max Curvature to classification decisions. This study provides an innovative technical solution for the efficient identification of maize varieties, supports the refined management of germplasm resources, and lays a foundation for genetic improvement and agricultural applications. Full article

Late blight of potato is caused by the pathogen Phytophthora infestans, which has been considered to be the most destructive disease affecting potato crops worldwide. In recent years, the use of antagonistic microorganisms to control potato late blight has become a green and environmentally friendly means of disease control, greatly reducing the use of chemical pesticides. To obtain antagonistic bacteria with a high biocontrol effect against potato late blight, a total of 16 antagonistic bacterial strains with an inhibition rate of more than 50% against P. infestans were screened from potato rhizosphere soil by double-culture method, among which the bacterial isolate (X3-2) had the strongest inhibitory activity against P. infestans, with an inhibition rate of 81.97 ± 4.81%, respectively, and a broad-spectrum inhibitory activity. The bacterial isolate (X3-2) was identified as Bacillus velezensis based on its 16S rDNA gene sequence and morphological as well as biochemical properties. The results of our in vitro experiments demonstrated that X3-2 was a potent inducer of resistance in potato tubers and leaflets against late blight. In greenhouse experiments, it was confirmed that the biological preparation X3-2 exhibits an anti-oomycete effect, demonstrating a significant control efficacy on potato late blight. Further analyses showed that the antagonistic substances of X3-2 were distributed both intracellularly and extracellularly. In addition, screening for plant-growth-promoting (PGP) traits showed that X3-2 has the ability to produce siderophores and secrete indole acetic acid (IAA). The findings from this research suggest that B. velezensis X3-2 exhibits promise as a biocontrol agent for managing late blight. In the future, the composition and mechanism of the action of its antimicrobial substances can be studied in depth, and field trials can be carried out to assess its actual prevention and control effects. Full article

This study was based on a target spectrum (GB183062015) and synthesized different characteristic periods, pulse ground motions, and non-pulse ground motions utilizing EQsignal v1.2.1 software. It also investigated the dynamic behaviors of bridge piers in seismic motions with varying characteristic periods, pulse and non-pulse effects, and the influence of 0 m and 10 m water depths. The findings indicated that the peak acceleration and stress behaviors vary significantly under different characteristic periods of ground motion. The maximum error in peak acceleration behavior of a bridge pier under ground motions of varying characteristic periods is 19.25%, while the maximum error in peak stress response is 11.35%. The acceleration and stress behaviors of a bridge pier under pulse ground motion action are more considerable than those under non-pulse seismic motion action. When the characteristic period is 0.40 s, the maximum error in peak acceleration of the bridge pier structure under pulse seismic motion and non-pulse seismic motion action is 86.08%, with the maximum error of the peak stress reaches 80.68%. The existence of water serves to minimize the natural frequency of the bridge pier. The pulse effects result in a maximum error of 40.49% for the peak acceleration and a maximum discrepancy of 323.08% for the peak stress of the bridge pier. The hydrodynamic effects result in a maximum error of 33.51% for the acceleration peak and 12.90% for the stress peak of the bridge pier. The effect of the pulse symptoms on the dynamic behavior of the bridge pier is considerably more pronounced than that of the hydrodynamic effects, with an intricate and complex influencing mechanism. In bridge flood protection and seismic design and optimization, it is essential to consider the impact of pulse seismic motion with varying characteristic periods. Full article

Insect protein has received considerable attention as an alternative to conventional animal proteins with its high nutritional contents and eco-friendly credentials. Exploring commercially available insect-protein-enhanced foods, this study aims to profile and compare such products in the ultra-processed category with products protein-enhanced with dairy (e.g., milk and whey) and plants (e.g., pea and rice). A global product audit was conducted drawing from English-language online retail portals to determine the product formats and statistically compare their nutritional contents with products fortified with non-insect proteins. The results show that four categories—flour/powder, pasta/noodle, starch-based snacks (e.g., chips, crackers, and cookies), and energy bars—are involved with food enhanced with insect protein. Flour/powder and pasta/noodles with insects demonstrated comparable protein contents to non-insect equivalents, highlighting insects’ potential as effective protein sources. However, insect protein’s performances in snacks and energy bars were less favourable, with significantly lower protein contents compared to products enhanced with non-insect sources. This may be attributed to the high fat content of insects, which may also contribute to undesirable flavours in complex foods, limiting their usage. The study highlights the need for industry innovation and scientific collaboration to overcome the challenges to widely applying insects as food ingredients, offering benefits for both the industry and consumers. Full article