Zhuangqiang Wen¹, Min Zhang², Zhekun Shou^3,*

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071300 - 08 January 2026

Abstract Roadbed disease detection is essential for maintaining road functionality. Ground penetrating radar (GPR) enables non-destructive detection without drilling. However, current identification often relies on manual inspection, which requires extensive experience, suffers from low efficiency, and is highly subjective. As the results are presented as radar images, image processing methods can be applied for fast and objective identification. Deep learning-based approaches now offer a robust solution for automated roadbed disease detection. This study proposes an enhanced Faster Region-based Convolutional Neural Networks (R-CNN) framework integrating ResNet-50 as the backbone and two-dimensional discrete Fourier spectrum transformation (2D-DFT) for… More >

Renfei Chang¹, Liqiang Jin¹, Haihui Xie^2,*, Kai Zhang³, Musheng Ye⁴

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.063718 - 08 January 2026

Abstract To investigate the impact of temporary structures on the mechanical behavior of shaped bridge towers during the construction process, the Dianbu River Special Bridge was selected as the engineering background. A finite element model of the middle tower column during the construction stage was established using ABAQUS to analyze the effects of key parameters, including the angle and pretension of temporary cables, as well as the wall thickness and diameter of temporary diagonal braces. The study examines how these parameters influence the stresses at the tower-girder consolidation. The results indicate that the angle of temporary More >

Jun Xiong^*, Peng Yang, Bohan Chen, Zeming Chen

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069438 - 27 December 2025

Abstract The reliable operation of power grid secondary equipment is an important guarantee for the safety and stability of the power system. However, various defects could be produced in the secondary equipment during long-term operation. The complex relationship between the defect phenomenon and multi-layer causes and the probabilistic influence of secondary equipment cannot be described through knowledge extraction and fusion technology by existing methods, which limits the real-time and accuracy of defect identification. Therefore, a defect recognition method based on the Bayesian network and knowledge graph fusion is proposed. The defect data of secondary equipment is… More >

Shaojie Min¹, Yaxiao Luo¹, Kebing Liu¹, Qingyuan Gong², Yang Chen^1,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-23, 2026, DOI:10.32604/cmc.2025.073175 - 09 December 2025

Abstract User identity linkage (UIL) across online social networks seeks to match accounts belonging to the same real-world individual. This cross-platform mapping enables accurate user modeling but also raises serious privacy risks. Over the past decade, the research community has developed a wide range of UIL methods, from structural embeddings to multimodal fusion architectures. However, corresponding adversarial and defensive approaches remain fragmented and comparatively understudied. In this survey, we provide a unified overview of both mapping and anti-mapping methods for UIL. We categorize representative mapping models by learning paradigm and data modality, and systematically compare them… More >

Wenxiang Zhang^1,2, Wenning Cui¹, Juan Huang³, Zhangen Lu¹, Kuijing Liang¹, Lingbao Wang^1,2, Shanshan Wei^1,2, Liran Shi¹, Huifen Li¹, Xiaoli Guo^1,2,*, Jianhui Ma^4,*

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3893-3912, 2025, DOI:10.32604/phyton.2025.073736 - 29 December 2025

Abstract UDP-glycosyltransferases (UGTs) play essential roles in plant secondary metabolism and stress responses, yet their composition and functions in Sorghum bicolor, a model C4 plant, remain inadequately characterized. This study identified 196 SbUGT genes distributed across all 10 chromosomes and classified them into 16 subfamilies (A–P) through phylogenetic analysis. Among these, 61.2% were intronless, and 10 conserved motifs, including the UGT-specific PSPG box, were identified. Synteny analysis using MCScanX revealed 12 segmental duplication events and conserved syntenic relationships with other Poaceae species (rice, maize, and barley). Promoter analysis uncovered 125 distinct cis-acting elements, predominantly associated with stress and… More >

Di Wu¹, Chunguang Ren¹, Liangliang Li¹, Chongpei Zheng², Wenwen Su^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4079-4090, 2025, DOI:10.32604/phyton.2025.072856 - 29 December 2025

Abstract To identify the pathogen responsible for fruit rot disease in Rosa roxburghii Tratt. from Guiding County, Guizhou Province, China, diseased fruit samples were collected. The pathogen was isolated, purified, and identified through morphological, molecular, and pathogenic analyses. Subsequently, its biological characteristics were evaluated. Furthermore, to determine the agent with the strongest toxicity against the identified pathogen, the antifungal activity of six chemical and biological agents was evaluated through indoor toxicity assays. Finally, Neopestalotiopsis clavispora was identified as the pathogen responsible for fruit rot disease in R. roxburghii Tratt. The diameter of the pathogen grown under different carbon and… More >

Harith Iman Othman Kalam¹, Ainon Nisa Othman^1,*, Mohamad Hezri Razali^1,*, Pauziyah Mohammad Salim¹, Akhbaaruddin Abd Hamid²

Revue Internationale de Géomatique, Vol.34, pp. 973-985, 2025, DOI:10.32604/RIG.2025.071917 - 24 December 2025

Abstract Ground Penetrating Radar (GPR) is a widely used method that is non-destructive for underground or subsurface detection. It is used in various fields and has proved to be reliable and effective. This research focuses on detecting the presence of air cavities using GPR and analyzing the radargram output based on the compactness of soil and different frequencies. The compactness is used to illustrate the presence of cavities underground artificially. The research examines how variations in the compactness of soil affect the radargram response in showing the presence of cavities using different frequencies. Experimental results demonstrate More >

Jo Van Damme¹, Stijn Van Damme², Soffe Struyf¹, Ghislain Opdenakker³

European Cytokine Network, Vol.36, No.1, pp. 6-14, 2025, DOI:10.1684/ecn.2025.0501 - 05 January 2026

Abstract Since their discovery, chemotactic cytokines or chemokines have been intensively studied for about half a century. Chemokines originate from tissue cells, leukocytes, blood platelets and plasma. Here, we review a number of seminal findings on plasma chemokines within an historical and international context. These aspects include how induction and purification protocols led to the discovery of a new family of mediators, named chemokines, on the basis of protein sequencing; how molecular cloning techniques facilitated discoveries of additional family members on the basis of conserved protein structures; how blood plasma and platelets were used as a More >

Lei Han^1,*, Wanyu Ye¹, Chunfang Liu², Shihua Huang¹, Chun Chen³, Luxin Zhan³, Siyuan Liang³

Energy Engineering, Vol.122, No.12, pp. 4947-4969, 2025, DOI:10.32604/ee.2025.069040 - 27 November 2025

Abstract In contemporary medium-voltage distribution networks heavily penetrated by distributed energy resources (DERs), the harmonic components injected by power-electronic interfacing converters, together with the inherently intermittent output of renewable generation, distort the zero-sequence current and continuously reshape its frequency spectrum. As a result, single-line-to-ground (SLG) faults exhibit a pronounced, strongly non-stationary behaviour that varies with operating point, load mix and DER dispatch. Under such circumstances the performance of traditional rule-based algorithms—or methods that rely solely on steady-state frequency-domain indicators—degrades sharply, and they no longer satisfy the accuracy and universality required by practical protection systems. To overcome… More >

Kavita Bodke^1,*, Sunil Bhirud¹, Keshav Kashinath Sangle²

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1547-1562, 2025, DOI:10.32604/sdhm.2025.069239 - 17 November 2025

Abstract Structural Health Monitoring (SHM) systems play a key role in managing buildings and infrastructure by delivering vital insights into their strength and structural integrity. There is a need for more efficient techniques to detect defects, as traditional methods are often prone to human error, and this issue is also addressed through image processing (IP). In addition to IP, automated, accurate, and real- time detection of structural defects, such as cracks, corrosion, and material degradation that conventional inspection techniques may miss, is made possible by Artificial Intelligence (AI) technologies like Machine Learning (ML) and Deep Learning… More > Graphic Abstract