Search Results (1,591)

Corrosion is considered a leading cause of failure in pipeline systems. Therefore, frequent inspection and monitoring are essential to maintain structural integrity. Feature matching based on in-line inspections (ILIs) aligns corrosion data across inspections, facilitating the observation of corrosion progression. Nonetheless, the uncertainties of inspection tools and corrosion processes present in ILI data influence feature matching accuracy. This study proposes a new extensible feature matching model based on consecutive ILIs and data clustering. By dynamically segmenting the data into spatially localized clusters, this framework enables feature matching of isolated pairs and merging defects, as well as facilitating more precise localized transformations. Moreover, a new clustering technique—directional epsilon neighborhood clustering (DENC)—is proposed. DENC utilizes spatial graph structures and directional proximity thresholds to address the directional variability in ILI data while effectively identifying outliers. The model is evaluated on six pipeline segments with varying ILI data complexities, achieving high recall and precision of 91.5% and 98.0%, respectively. In comparison to exclusively point matching models, this work demonstrates significant improvements in terms of accuracy, stability, and managing the spatial variability and interactions of adjacent defects. These advancements establish a new framework for automated feature matching and contribute to enhanced pipeline integrity management. Full article

Objective: The association between the activity of SLE and abnormalities of ECG remains not well elucidated. We aimed to examine the relationship between the SLE Disease Activity Index 2000 (SLEDAI-2K) and abnormalities of ECG in a Chinese population. Methods: Data for this cross-sectional study were retrieved from an SLE database (2018–2023). According to the SLEDAI-2K, patients were categorized into inactive, mild activity, moderate activity, and severe activity groups. Weighted multivariable regression analyses and subgroup analyses were conducted to assess the independent relationship between the SLEDAI-2K and ECG abnormalities. Restricted cubic splines (RCSs) were employed to explore potential non-linear correlations. Results: A total of 317 SLE patients (282 women; mean age 30.0 [23.0; 43.0]) were included. The overall prevalence of ST segment changes and T wave abnormalities was 37.5%. Our findings indicated a linear relationship between the SLEDAI-2K and the risk of ST-T changes. We used interaction terms to assess heterogeneity among subgroups and discovered significant differences specifically related to female gender, age (≤25 years), combined autoimmune diseases, and infectious complications. This suggested that the positive association between the SLEDAI-2K and ST-T changes was influenced by participants’ gender, age, presence of combined autoimmune diseases, and infectious complications. Conclusions: Higher SLEDAI-2K scores were associated with an increased incidence of ST-T changes in SLE patients. The SLEDAI-2K is anticipated to emerge as an effective index for identifying early heart involvement in this population. Full article

Knowledge of realistic loads is crucial in the engineering design process of medical devices and for assessing their interaction with the spinal system. Depending on the type of modeling, current numerical spine models generally either neglect the active musculature or oversimplify the passive structural function of the spine. However, the internal loading conditions of the spine are complex and greatly influenced by muscle forces. It is often unclear whether the assumptions made provide realistic results. To improve the prediction of realistic loading conditions in both conservative and surgical treatments, we modified a previously validated forward dynamic musculoskeletal model of the intact lumbosacral spine with a muscle-driven approach in three scenarios. These exploratory treatment scenarios included an extensible lumbar orthosis and spinal instrumentations. The latter comprised bisegmental internal spinal fixation, as well as monosegmental lumbar fusion using an expandable interbody cage with supplementary posterior fixation. The biomechanical model responses, including internal loads on spinal instrumentation, influences on adjacent segments, and effects on abdominal soft tissue, correlated closely with available in vivo data. The muscle forces contributing to spinal movement and stabilization were also reliably predicted. This new type of modeling enables the biomechanical study of the interactions between active and passive spinal structures and technical systems. It is, therefore, preferable in the design of medical devices and for more realistically assessing treatment outcomes. Full article

Even though the interaction between plants and the outdoor wind environment has been a focus of interest for scholars from various disciplines in recent years, the relationship between campus outdoor wind comfort and plant configuration in subtropical coastal areas remains poorly understood. Using the outdoor space of a typical subtropical coastal campus (the Donghai Campus of Quanzhou Normal University) as a case study, we explore the connection between plant configuration and outdoor wind comfort. The campus outdoor area is segmented into roads, squares, and courtyards to investigate this relationship. To achieve this goal, a 9-h fixed-point measurement method and the PHOENICS software (2016) were utilized. The following are the findings of the research: (1) Within the realm of trees, the banyan, Bischofia javanica, and kapok species exhibit a notable impact on wind speed reduction, with respective wind reduction ratios of 1.22, 1.31, and 1.29. Notably, among shrubs, waringin stands out with a wind reduction ratio of 1.83. (2) The tree + shrub + grass combination is the most effective method for reducing wind among the three plant facade configurations. Specifically, the combination of Bischofia javanica, waringin, and carpet grass has the best wind reduction effect, with a wind reduction ratio of 2.55. (3) Adding Bischofia javanica, waringin, and grass plants in areas with high wind speeds can effectively improve wind comfort. This provides directions for creating a comfortable wind environment on university campuses situated in subtropical coastal areas. Full article

The improvement in poultry production performance varies with different microbial strains used in fermented feed. This study investigates the efficacy of Lactiplantibacillus-plantarum-ZG7-fermented feed (ZG7-FF) on the productivity of laying hens. Results indicated that ZG7-FF significantly reduced the daily feed intake while increasing egg weight and decreasing the feed-to-egg ratio during peak production (p < 0.05), in addition to enhancing the late-phase laying rate (p < 0.05). Further intestinal morphological results showed that ZG7-FF significantly increased the length of villi in each intestinal segment, most significantly in the duodenum and jejunum (p < 0.01). ZG7-FF also significantly increased the abundance of the phylum Desulfobacterota, while showing a notable increase in the abundance of Cyanobacteria. Conversely, there was a significant reduction in the abundance of intestinal Firmicutes (p < 0.05), specifically Limosilactobacillus and Ligilactobacillus. The LEfSe (LDA Effect Size) analysis indicated that the differential species in the duodenum associated with ZG7-FF are primarily Bifidobacteriales and Aeriscardovia. In contrast, the jejunum is predominantly composed of Cyanobacteria, while the colon is mainly characterized by Enterococcus. Non-targeted metabolomics revealed that ZG7-FF drives the suppression of key metabolites, including 3-hydroxybutyric acid, ethylnitronate, 6-chlorocoumarin-3-carboxylic acid, lotaustralin, and oleoylcarnitine, while enriching pathways related to amino acid metabolism. The downregulated metabolites were functionally linked to ABC transporters and neuroactive ligand–receptor interactions. Correlation analyses demonstrated positive associations between Limosilactobacillus/Ligilactobacillus and suppressed metabolites, whereas Enterococcus and chloroplast-related taxa exhibited negative correlations. In summary, the administration of ZG7-FF significantly enhances intestinal morphology, reduces feed intake, increases egg weight, decreases ingredient usage, elevates the abundance of intestinal Enterococcus, and diminishes the overall microbial load. Full article

Investigations carried out on 72 fluid samples from 59 sites spread over the area surrounding the Sea of Marmara show that their geochemical and isotopic features are related to different segment settings of the North Anatolian Fault Zone (NAFZ). We collected fluids from thermal and mineral waters including bubbling and dissolved gases. The outlet temperatures of the collected waters ranged from 14 to 97 °C with no temperature-related geochemical features. The free and dissolved gases are a mixture of shallow and mantle-derived components. The large variety of geochemical features comes from intense gas–water (GWI) and water–rock (WRI) interactions besides other processes occurring at relatively shallow depths. CO₂ contents ranging from 0 to 98.1% and helium isotopic ratios from 0.11 to 4.43 Ra indicate contributions, variable from site to site, of mantle-derived volatiles in full agreement with former studies on the NAFZ. We propose that the widespread presence of mantle-derived volatiles cannot be related only to the lithospheric character of the NAFZ branches and magma intrusions have to be considered. Changes in the vertical permeability induced by fault movements and stress accumulation during seismogenesis, however, modify the shallow/deep ratio of the released fluids accordingly, laying the foundations for future monitoring activities. Full article

Three-dimensional genome organization reveals that gene regulatory elements, which are linearly distant on the genome, can spatially interact with target genes to regulate their expression. DNA fluorescence in situ hybridization (DNA-FISH) is an efficient method for studying the spatial proximity of genomic loci. In this study, we developed an optimized Tn5 transposome-based DNA-FISH method, termed Tn5-labeled DNA-FISH. This approach amplifies the target region and uses a self-assembled Tn5 transposome to simultaneously fragment the DNA into ~100 bp segments and label it with fluorescent oligonucleotides in a single step. This method enables the preparation of probes for regions as small as 4 kb and visualizes both endogenous and exogenous genomic loci at kb resolution. Tn5-labeled DNA-FISH provides a streamlined and cost-effective tool for probe generation, facilitating the investigation of chromatin spatial conformations, gene interactions, and genome architecture. Full article

Aliphatic unsegmented polyurethanes (PUs) have garnered relatively limited attention in the literature, despite their valuable properties such as UV resistance and biocompatibility, making them suitable for biomedical applications. This study focuses on synthesizing poly(ester-urethanes) (PEUs) using 1,6-hexamethylene diisocyanate and the macrodiol α,ω-hydroxy telechelic poly(ε-caprolactone) (HOPCLOH). To optimize the synthesis, a statistical experimental design approach was employed, a methodology not commonly utilized in polymer science. The influence of reaction temperature, time, reagent concentrations, and solvent type on the resulting PEUs was investigated. Characterization techniques included FT-IR, ¹H NMR, differential scanning calorimetry (DSC), gel permeation chromatography (GPC), optical microscopy, and mechanical testing. The results demonstrated that all factors significantly impacted the number-average molecular weight (M_n) as determined by GPC. Furthermore, the statistical design revealed crucial interaction effects between factors, such as a dependence between reaction time and temperature. For example, a fixed reaction time of 1 h, with the temperature varying from 50 °C to 61 °C, did not significantly alter M_n. Better reaction conditions yielded high M_n (average: 162,000 g/mol), desirable mechanical properties (elongation at break > 1000%), low levels of unreacted HOPCLOH in the PEU films (OH/ESTER response = 0.0008), and reduced crystallinity (ΔH_m = 11 J/g) in the soft segment, as observed by DSC and optical microscopy. In contrast, suboptimal conditions resulted in low M_n, brittle materials with unmeasurable mechanical properties, high crystallinity, and significant amounts of residual HOPCLOH. The best experimental conditions were 61 °C, 0.176 molal, 8 h, and chloroform as the solvent (ε = 4.8). Full article

Class II myosin (myosin-2) is an actin-based motor protein found in nearly all eukaryotes. One critical question is how the motor function of myosin-2 is regulated. Vertebrate myosin-2 comprises non-muscle myosin, smooth muscle myosin and striated muscle myosin. Recent studies have shown that smooth muscle myosin, in its inhibited state, adopts a folded conformation in which the two heads interact with each other asymmetrically, and the tail is folded into three segments that wrap around the two heads. It has been proposed that the asymmetric head-to-head interaction is a conserved, fundamental structure essential for the regulation of all types of myosin-2. Nearly all insects have only a single striated muscle myosin heavy chain (MHC) gene, which produces all MHC isoforms through alternative splicing of mutually exclusive exons. Most of the alternative exon-encoded regions in insect MHC are located in the motor domain and are critical for generating isoform-specific contraction velocity and force production. However, it remains unclear whether these alternative exon-encoded regions participate in the regulation of insect striated muscle myosin. Here, we review the recently resolved structure of the inhibited state of smooth muscle myosin and discuss its implications on the regulation of insect striated muscle myosin. We propose that the alternative exon-encoded regions in insect MHC not only affect motor properties but also contribute to stabilizing the folded conformation and play a crucial role in regulating insect striated muscle myosin. Full article

Cattle face segmentation and recognition in complex scenarios pose significant challenges due to insufficient fine-grained feature representation in segmentation networks and limited modeling of salient regions and local–global feature interactions in recognition models. To address these issues, DBCA-Net, a dual-branch context-aware algorithm for cattle face segmentation and recognition, is proposed. The method integrates an improved TransUNet-based segmentation network with a novel Fusion-Augmented Channel Attention (FACA) mechanism in the hybrid encoder, enhancing channel attention and fine-grained feature representation to improve segmentation performance in complex environments. The decoder incorporates an Adaptive Multi-Scale Attention Gate (AMAG) module, which mitigates interference from complex backgrounds through adaptive multi-scale feature fusion. Additionally, FACA and AMAG establish a dynamic feedback mechanism that enables iterative optimization of feature representation and parameter updates. For recognition, the GeLU-enhanced Partial Class Activation Attention (G-PCAA) module is introduced after Patch Partition, strengthening salient region modeling and enhancing local–global feature interaction. Experimental results demonstrate that DBCA-Net achieves superior performance, with 95.48% mIoU and 97.61% mDSC in segmentation tasks and 95.34% accuracy and 93.14% F1-score in recognition tasks. These findings underscore the effectiveness of DBCA-Net in addressing segmentation and recognition challenges in complex scenarios, offering significant improvements over existing methods. Full article

Arbuscular mycorrhizal (AM) fungi establish mutualistic symbiosis with most land plants, facilitating mineral nutrient uptake in exchange for photosynthates. As one of the most commercially used rootstocks in citrus, Poncirus trifoliata heavily depends on AM fungi for nutrient absorption. The GRAS gene family plays essential roles in plant growth and development, signaling transduction, and responses to biotic and abiotic stresses. However, the identification and functional characterization of GRAS family genes in P. trifoliata remains largely unexplored. In this study, a comprehensive genome-wide analysis of PtGRAS family genes was conducted, including their identification, physicochemical properties, phylogenetic relationships, gene structures, conserved domains, chromosome localization, and collinear relationships. Additionally, the expression profiles and protein interaction of these genes under AM symbiosis were systematically investigated. As a result, 41 GRAS genes were identified in the P. trifoliata genome, and classified into nine distinct clades. Collinearity analysis revealed seven segmental duplications but no tandem duplications, suggesting that segmental duplication played a more important role in the expansion of the PtGRAS gene family compared to tandem duplication. Additionally, 18 PtGRAS genes were differentially expressed in response to AM symbiosis, including orthologs of RAD1, RAM1, and DELLA3 in P. trifoliata. Yeast two-hybrid (Y2H) screening further revealed that PtGRAS6 and PtGRAS20 interacted with both PtGRAS12 and PtGRAS18, respectively. The interactions were subsequently validated through bimolecular fluorescence complementation (BiFC) assays. These findings underscored the crucial role of GRAS genes in AM symbiosis in P. trifoliata, and provided valuable candidate genes for improving nutrient uptake and stress resistance in citrus rootstocks through molecular breeding approaches. Full article

Poly (butylene adipate-co-terephthalate) (PBAT) foam sheets prepared by foaming supercritical fluids are characterized by high resilience, homogeneous cellular structure, and well-defined biodegradability. However, the inert chemical structure and the rigid hard segments restrict the diffusion of CO₂ within the PBAT matrix, resulting in extremely long gas saturation times as long as 9 h at a thickness of 12 mm. In this study, microporous structures were pre-introduced into the PBAT matrix to provide a fast gas diffusion pathway during the saturation process. After 2 h of saturation, PBAT foam sheets with expansion ratio of 10 to 13.8 times were prepared. The interaction of CO₂ with PBAT was systematically investigated, and the CO₂ sorption process was evaluated kinetically and thermodynamically using the Fickian diffusion theory. The solubility and diffusion rate of CO₂ in pretreated PBAT sheets with different microporous sizes and densities were investigated, and the effects of pretreatment strategies on the foaming behavior and cell structure of PBAT foam sheets were discussed. The introduction of a microporous structure not only reduces saturation time but also enhances solubility, enabling the successful preparation of soft foams with high expansion ratios and resilience. After undergoing foaming treatment, the PBAT pretreated sheets with a 10 μm microporous structure and a density of 0.45 g/cm³ demonstrated improved mechanical properties: their hardness decreased to 35 C while resilience increased to 58%, reflecting enhanced elastic recovery capabilities. The pretreatment method, which increases the diffusion rate of CO₂ in PBAT sheets, offers a straightforward approach that provides valuable insights into achieving rapid and efficient foaming of thick PBAT sheets in industrial applications. Full article

Sabots are vital to the successful launch of hypervelocity projectiles (HVPs), supporting and protecting the projectile’s flight body within the barrel. After the projectile exits the muzzle, aerodynamic forces induce relative motion between the sabot and the flight body, termed ‘sabot discard’. During this process, there are complex aerodynamic interactions between the sabot and flight body. These interactions impact the flight body’s flight stability and accuracy. This research focuses on an HVP with a two-segment sabot at Mach 7.2, employing the unstructured overset grid method and three-degree-of-freedom model to investigate the impact of the angle of attack (AOA) on the discard. At the AOA = 0 Deg, the sabot segments’ movement is symmetric, causing fluctuations in the flight body’s drag. However, at AOAs $\ne$ 0 Deg, the sabot segments’ movement becomes asymmetric. The upper sabot segment accelerates while the lower one decelerates, causing significant fluctuations in drag and lift, and prolonged disturbance. As the AOA increases, both asymmetry and disturbances intensify. Notably, at the AOA = 8 Deg, the absolute value of the discard angle difference between the upper and lower sabot segments reaches 45 Deg. Considering the AOA’s impact, it is advisable to maintain the AOA for HVP sabot discard in the range of [−2, 2] Deg. Full article

Background/Objectives: The Suppressor of Female Function (SOFF) and Shy Girl (SyGI) gene families play vital roles in sex determination in dioecious plants. However, their evolutionary dynamics and functional characteristics remain largely unexplored. Methods: Through this study, a systematic bioinformatics analysis of SOFF and SyGI families was performed in plants to explore their evolutionary relationships, gene structures, motif synteny and functional predictions. Results: Phylogenetic analysis showed that the SOFF family expanded over time and was divided into two subfamilies and seven groups, while SyGI was a smaller family made of compact molecules with three groups. Synteny analysis revealed that 125 duplicated gene pairs were identified in Kiwifruit where WGD/segmental duplication played a major role in duplicating these events. Structural analysis predicted that SOFF genes have a DUF 247 domain with a transmembrane region, while SyGI sequences have an REC-like conserved domain, with a “barrel-shaped” structure consisting of five α-helices and five β-strands. Promoter region analysis highlighted their probable regulatory roles in plant development, hormone signaling and stress responses. Protein interaction analysis exhibited only four SOFF genes with a close interaction with other genes, while SyGI genes had extensive interactions, particularly with cytokinin signal transduction pathways. Conclusions: The current study offers a crucial understanding of the molecular evolution and functional characteristics of SOFF and SyGI gene families, providing a foundation for future functional validation and genetic studies on developmental regulation and sex determination in dioecious plants. Also, this research enhances our insight into plant reproductive biology and offers possible targets for breeding and genetic engineering approaches. Full article

Recently, with the advantages of easy deployment, flexibility, diverse functions, and low cost, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications, whereas the high-speed movement and limited node energy of unmanned aerial vehicles (UAVs) leads to high dynamic topology and high packet loss rate in FANET. Thus, we introduce the software-defined networking (SDN) architecture into FANET and investigate routing scheme in an SDN-FANET to harvest the advantages of SDN centralized control. Firstly, a FANET segmented routing scheme based on the hybrid SDN architecture is proposed, where inter-segment conducts energy-balanced routing and intra-segment adopts three-dimensional (3D) greedy perimeter stateless routing (GPSR). Specifically, we design the specific process of message interaction between SDN controller and UAV nodes to ensure the execution of the inter-segment routing based on energy balance. Further, to reduce the packet loss rate in high-speed motion scenes, an adaptive extended Kalman prediction algorithm is also proposed to track and predict the 3D movement of UAVs. Simulations verify the effectiveness of the proposed routing scheme in terms of end-to-end delay and packet delivery ratio. Full article