SHAOFENG XIONG^1,2, WENKAI LV³, GUOSHENG CAO⁴, LONGSHENG FU¹, WEN LIU³, MENGFAN LEI², YANNI LV^1,5,*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.073401 - 23 January 2026

Abstract Objective: Leucine-rich alpha-2 glycoprotein 1 (Lrg1) could regulate diverse cells in cerebral ischemia-reperfusion. Our study seeks to uncover Lrg1’s impact on endothelial cell heterogeneity via differentiation pathways and transcription factors. Method: The CSOmap model measured cell-to-brain-center distances using single-cell RNA sequencing (scRNA-seq) data in middle cerebral artery occlusion reperfusion (MCAO/R). Monocle2 mapped endothelial differentiation paths. Gene set enrichment analysis (GSEA) analyzed endothelial subcluster variations. Database searches revealed a zinc finger MIZ-type containing 1 protein-frizzled 3 (Zmiz1-Fzd3) promoter interaction. Endothelial cells were transfected with a Fzd3 promoter-luciferase plasmid. Polymerase chain reaction (PCR) and western blotting assessed… More >

Tai Liu^1,2, Mao Ye^2,*, Feng Wu³, Chao Zhu², Bo Chen², Guoyan Zhang^1,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072692 - 12 January 2026

Abstract With the continuous advancement of unmanned technology in various application domains, the development and deployment of blind-spot-free panoramic video systems have gained increasing importance. Such systems are particularly critical in battlefield environments, where advanced panoramic video processing and wireless communication technologies are essential to enable remote control and autonomous operation of unmanned ground vehicles (UGVs). However, conventional video surveillance systems suffer from several limitations, including limited field of view, high processing latency, low reliability, excessive resource consumption, and significant transmission delays. These shortcomings impede the widespread adoption of UGVs in battlefield settings. To overcome these… More >

Rekha Phadke¹, Abdul Lateef Haroon Phulara Shaik², Dayanidhi Mohapatra³, Doaa Sami Khafaga^4,*, Eman Abdullah Aldakheel⁴, N. Sathyanarayana⁵

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-26, 2026, DOI:10.32604/cmc.2025.067564 - 09 December 2025

Abstract Recently, the Internet of Things (IoT) technology has been utilized in a wide range of services and applications which significantly transforms digital ecosystems through seamless interconnectivity between various smart devices. Furthermore, the IoT plays a key role in multiple domains, including industrial automation, smart homes, and intelligent transportation systems. However, an increasing number of connected devices presents significant challenges related to efficient resource allocation and system responsiveness. To address these issue, this research proposes a Modified Walrus Optimization Algorithm (MWaOA) for effective resource management in smart IoT systems. In the proposed MWaOA, a crowding process… More >

Asma Batool¹, Fahad Ahmed¹, Naila Sammar Naz¹, Ayman Altameem², Ateeq Ur Rehman^3,4, Khan Muhammad Adnan^5,*, Ahmad Almogren^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4129-4152, 2025, DOI:10.32604/cmes.2025.073149 - 23 December 2025

Abstract Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival. However, many state-of-the-art deep learning (DL) methods remain opaque and lack clinical interpretability. This paper presents an explainable artificial intelligence (XAI) framework that combines a fine-tuned Visual Geometry Group 16-layer network (VGG16) convolutional neural network with layer-wise relevance propagation (LRP) to deliver high-performance classification and transparent decision support. This approach is evaluated on the publicly available Kaggle kidney cancer imaging dataset, which comprises labeled cancerous and non-cancerous kidney scans. The proposed model achieved 98.75% overall accuracy, with precision, More >

Xuekun Shao^1,#, Cheng Wang^2,#,*, Mengru Zhang², Yi Wang², Zhuoya Qiu¹, Wen Cai¹, Ruiliang Zhu³, Ping Wang^2,*

BIOCELL, Vol.49, No.11, pp. 2181-2194, 2025, DOI:10.32604/biocell.2025.070859 - 24 November 2025

Abstract Objectives: PI3K plays a pivotal role in the inflammatory response by modulating the production and release of inflammatory factors. Pik3cb is one of the subunits of PI3K, and its specific role in myocardium inflammation remains unelucidated. This study aimed to investigate the role of Pik3cb in the inflammatory response and to elucidate the underlying mechanism. Methods: An inflammation model was established using H9c2 cells treated with LPS and ATP, and Pik3cb expression was evaluated in this model system. Subsequently, an overexpression model was constructed by transfecting cells with a Pik3cb overexpression plasmid, after which the… More > Graphic Abstract

Zheda Zhao, Tao Xu, Tong Yang, Yunpeng Wu^*, Fengxiang Guo^*

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1457-1472, 2025, DOI:10.32604/sdhm.2025.069611 - 17 November 2025

Abstract Utilizing unmanned aerial vehicle (UAV) photography to timely detect and evaluate potential safety hazards (PSHs) around high-speed rail has great potential to complement and reform the existing manual inspections by providing better overhead views and mitigating safety issues. However, UAV inspections based on manual interpretation, which heavily rely on the experience, attention, and judgment of human inspectors, still inevitably suffer from subjectivity and inaccuracy. To address this issue, this study proposes a lightweight hybrid learning algorithm named HDTA (hybrid dual tasks architecture) to automatically and efficiently detect the PSHs of UAV imagery. First, this HDTA… More >

Sari Masri, Ahmad Hasasneh^*

Computer Systems Science and Engineering, Vol.49, pp. 481-497, 2025, DOI:10.32604/csse.2025.068616 - 10 October 2025

Abstract Diagnosing dental disorders using routine photographs can significantly reduce chair-side workload and expand access to care. However, most AI-based image analysis systems suffer from limited interpretability and are trained on class-imbalanced datasets. In this study, we developed a balanced, transformer-based pipeline to detect three common dental disorders: tooth discoloration, calculus, and hypodontia, from standard color images. After applying a color-standardized preprocessing pipeline and performing stratified data splitting, the proposed vision transformer model was fine-tuned and subsequently evaluated using standard classification benchmarks. The model achieved an impressive accuracy of 98.94%, with precision, recall and F1 scores More >

Mingyang Tang^1,2,#, Shengfu He^3,#, Bao Meng^1,2, Qingyue Zhang^1,2, Chengcheng Li^1,2, Yating Sun^1,2, Weijie Sun^1,2, Cui Wang⁴, Qingxiang Kong⁵, Yanyan Liu^1,2, Lifen Hu^1,2, Yufeng Gao^1,2, Qinxiu Xie^1,2, Jiabin Li^1,2,*, Ting Wu^1,2,*

Oncology Research, Vol.33, No.10, pp. 3077-3100, 2025, DOI:10.32604/or.2025.067065 - 26 September 2025

Abstract Background: Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths. The Nod-like receptor (NLR) family is involved in innate immunity and tumor progression, but its role in HCC remains unclear. This study aimed to evaluate the prognostic value and biological function of NLR genes in HCC. Methods: Transcriptomic and clinical data from The Cancer Genome Atlas were analyzed using nonnegative matrix factorization (NMF) to classify HCC into molecular subtypes. Differentially expressed genes were used to build an NLR-based prognostic model (NLR_score) through univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox… More > Graphic Abstract

Luyao Jiang^1,#, Longsheng Fu^2,#, Shaofeng Xiong^2,3, Guosheng Cao⁴, Yanqin Mei^2,3, Yaoqi Wu², Jin Chen^1,*, Yanni LV^2,5,6,*

BIOCELL, Vol.49, No.9, pp. 1749-1769, 2025, DOI:10.32604/biocell.2025.068507 - 25 September 2025

Abstract Background: After ischemic stroke, neutrophils hyperactivate, increasing in number and worsening inflammation, causing neural damage. Prior scRNA-seq showed Lrg1 modulates cells subsentence to cerebral ischemia-reperfusion injury, but its mechanism in regulating neutrophil accumulation/differentiation post-injury is unclear. Methods: Lrg1 knockout impact on neutrophil accumulation was assessed via immunofluorescence and western blot. Three-dimensional reconstruction of immunofluorescent staining analyzed cell-cell interactions among neutrophils and microglia. scRNA-seq of WT and Lrg1^-/- mice from GSE245386 and GSE279462 was conducted. Each group conducted oxidative phosphorylation scoring via Gene Set Enrichment Analysis (GSEA), while Metascape was employed to perform GO and KEGG enrichment… More > Graphic Abstract

Gang Li^1,#, Ru Wang^1,#, Yang Zhang^2,*, Chuanyun Xu², Xinyu Fan¹, Zheng Zhou¹, Pengfei Lv¹, Zihan Ruan¹

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3267-3288, 2025, DOI:10.32604/cmc.2025.067763 - 23 September 2025

Abstract Currently, challenges such as small object size and occlusion lead to a lack of accuracy and robustness in small object detection. Since small objects occupy only a few pixels in an image, the extracted features are limited, and mainstream downsampling convolution operations further exacerbate feature loss. Additionally, due to the occlusion-prone nature of small objects and their higher sensitivity to localization deviations, conventional Intersection over Union (IoU) loss functions struggle to achieve stable convergence. To address these limitations, LR-Net is proposed for small object detection. Specifically, the proposed Lossless Feature Fusion (LFF) method transfers spatial… More >