Wael A. Altabey^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.079495 - 24 August 2026

Abstract The goal of this paper is to improve the monitoring of civil structures when we pair unmanned aerial vehicles (UAVs) technology with the current proposed algorithm, particularly to identify cracks in concrete structures. Typically, the current UAV methods are more about creating state maps of these structures, but they struggle with the impact of the drone’s movement on crack detection accuracy. This presents challenges for using intelligent systems for concrete crack detection. The current approach combines advanced technologies with a network of high-definition cameras mounted on inspection UAV systems and distributed in different parts of… More >

Caiping Huang^*, Yulong Mei, Wangyuan Tian, Zihang Yu

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.073282 - 24 August 2026

Abstract Bridge damage detection is critical to bridge maintenance practices. However, traditional inspection methods are plagued by high labour intensity and low operational efficiency. To enhance the intelligence, objectivity, and efficiency of bridge damage detection, this study proposes an automated approach for the identification and quantitative measurement of concrete defects. Specifically, this method adopts the Visual Geometry Group (VGG) network as the backbone of the U-Net architecture to perform semantic segmentation on images containing typical concrete defects, including spalling, cracks, and exposed reinforcement bars. Subsequently, mathematical morphology algorithms are employed to optimise the segmented images, thereby… More >

Emmanuel Naveen Raj^1,#, Chia-Jung Li^1,2,3,4,5,#, Shih-Hsuan Cheng¹, Su-Boon Yong^6,7, Zhi-Hong Wen^3,8, An-Jen Chiang^1,9,*

Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.079551 - 13 August 2026

Abstract Objectives: Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) necessitate the discovery of novel biomarkers for prognostic and therapeutic advancement. This study aims to evaluate the clinical significance of ubiquitin-conjugating enzyme E2C (UBE2C) and its association with the tumor microenvironment (TME) in CESC. Methods: We meticulously sourced CESC data from renowned repositories such as The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO), leveraging cutting-edge techniques including single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and pharmacogenomics. Through multifaceted data analysis, we endeavored to unravel the intricate role and potential value of UBE2C in… More > Graphic Abstract

Yasmine Labiad¹, Céline Baier¹, Michèle Genin², Caroline Besson^3,4, Sophie Prevot⁵, Hubert Lepidi⁶, Régis Costello^1,7,*

Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.076241 - 16 July 2026

Abstract Objectives: Transcriptomic profiling has enabled the classification of Diffuse Large B-Cell Lymphoma (DLBCL) into distinct subtypes, such as Germinal Center B-cell-like (GCB) and Activated B-cell-like (ABC), primarily in HIV-negative patients. However, HIV-associated DLBCL may follow different molecular mechanisms due to immune dysregulation. This study aimed to characterize the transcriptomic landscape of HIV-related DLBCL to identify distinct subtypes and deregulated pathways with potential theranostic implications. Methods: Twelve formalin-fixed, paraffin-embedded DLBCL samples from HIV-positive patients were analyzed using Agilent’s microarray. Quantile normalization and unsupervised hierarchical clustering were performed to classify tumors based on gene expression profiles. Results: Two distinct More > Graphic Abstract

Huajie Zhang^1,2, Xiaopeng Li^1,2, Hanlin Xiao^3,*, Lifeng Xing³, Wenyue Zhou^1,2

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.086505 - 12 July 2026

Abstract This article has no abstract. More >

Qiang Xu^1,*, Leyao Cong¹, Jianing Wang¹, Xingyu Zhu¹, Shaojun Cui¹, Guoqiang Sun², Xueheng Shi²

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.073947 - 12 July 2026

Abstract Power system faults can trigger a massive influx of complex alarm signals to the operation and maintenance center, posing significant challenges for dispatchers in accurately identifying the underlying faults. To address the issues of sample imbalance and low accuracy in traditional power grid monitoring alarm event identification methods, a power grid monitoring alarm event identification method based on BERT large language model is proposed. Firstly, information entropy is employed to filter effective monitoring alarm signals, and the k-means clustering algorithm is used to group all alarm signals into different event types, forming the initial power… More >

Chengcheng Sha^*, Manyuan Li, Xiaolei Pan^*

Journal of Psychology in Africa, Vol.36, No.3, pp. 341-349, 2026, DOI:10.32604/jpa.2026.074832 - 30 June 2026

Abstract This study explores how authentic leadership reduces workplace deviance behavior in the era of artificial intelligence (AI) through a chain mediation mechanism involving positive psychological capital and organizational identification. The sample comprised 619 business professionals who regularly used AI tools in their work (52% male; M = 34 years, 20.7% from the service education). The results revealed a significant workplace deviance behavior to be lower with authentic leadership. Organizational identification mediated the relationship between authentic leadership and workplace deviance behavior for lower workplace deviance. Although positive psychological capital alone did not mediate this relationship, it More >

Liqiong Chen¹, Haoyu Jia¹, Mailun Liu², Kai Zhang^1,*, Song Yang¹, Zongjun Jiang¹

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.077675 - 30 June 2026

Abstract Buried natural gas pipelines are critical components of energy infrastructure, and their durability and safe operation depend on effective structural health monitoring and the early identification of damage states. In farmland environments, rotary tillage imposes repeated and often concealed mechanical loads on buried pipelines, resulting in stress accumulation, progressive deterioration, and potentially structural failure. However, predictive and interpretable health monitoring approaches that explicitly incorporate rotary tiller-induced damage mechanisms remain scarce. In this study, a physics-informed and interpretable hybrid framework is proposed for the structural health monitoring of buried pipelines subjected to rotary tiller loading. A… More >

Yuan Chen^#, Sumeera Asghar^#, Hanfei Li, Ju Cai, Yin You, Yan Li^*

Phyton-International Journal of Experimental Botany, Vol.95, No.6, 2026, DOI:10.32604/phyton.2026.080045 - 29 June 2026

Abstract The TIFY transcription factor family plays a major role in plant growth and development. Petal size is a very important agronomic characteristic in the ornamental species of Verbena bonariensis. This study identifies 16 TIFY genes (VbTIFYs) in the V. bonariensis genome. Phylogenetic reconstruction divided these genes into six distinct subclades, indicating a high degree of homology between Verbena bonariensis and Arabidopsis thaliana. Promoter sequence analysis illustrated that the promoters of TIFY genes harbor not only cis-acting elements related to hormone regulation, but also functional motifs involved in light responses and low-temperature adaptation. Chromosomal localization results shows that VbTIFY genes… More >

Svetlana Goryunova^1,2,*, Margarita Lebedeva¹, Aya Trifonova¹, Denis Goryunov^2,3, Anastasia Sivolapova², Aleksey Troitsky³, Igor Loskutov⁴, Vitalii Pukhalskiy¹

Phyton-International Journal of Experimental Botany, Vol.95, No.6, 2026, DOI:10.32604/phyton.2026.077294 - 29 June 2026

Abstract Twenty-six cultivated and wild oat species with genomes of varying ploidy levels are currently known worldwide. The search for informative markers, as well as the analysis of variability and phylogeny of oat species, represents a key research directions with both fundamental and applied significance. Chloroplast microsatellites are promising markers for studying groups of closely related species, particularly in the context of allopolyploid origin analyses. The transferability of chloroplast microsatellite markers among species belonging to different “core pooids” supertribes within the Pooideae subfamily of Poaceae has been demonstrated. Following preliminary screening, twelve primer pairs were selected… More >