Ping Wu¹, Jie Zou², Wangxin Li^1,*, Yidong Xu¹

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.070873 - 08 January 2026

Abstract The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical prediction models. Consequently, early anomalies (e.g., minor cracks) are often misjudged, and warnings lag by about 24 h without automated spatial localization. This study establishes a technical framework for requirements analysis, architectural design, and data-integration protocols. Revit parametric modelling is used to build a 3D tunnel model with structural elements, pipelines and 18 monitoring points (for displacement and joint width). Custom Revit API code integrated real-time sensor data into the BIM platform via an automated… More >

Song Xu^1,2,*, Liang Xuan^1,2, Yifeng Li^1,2, Qiang Zhang^1,2

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.070472 - 09 December 2025

Abstract The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts. In the industrial robot production scenarios, the 6D pose estimation of industrial parts mainly faces two challenges: one is the loss of information and interference caused by occlusion and stacking in the sorting scenario, the other is the difficulty of feature extraction due to the weak texture of industrial parts. To address the above problems, this paper proposes an attention-based pixel-level voting network for 6D pose estimation of weakly textured industrial parts, namely CB-PVNet. On the… More >

Federico Greco^1,2,*, Marco Cataldo³, Valerio D’Andrea^2,4, Luca Pugliese⁵, Andrea Panunzio⁶, Alessandro Tafuri⁶, Bruno Beomonte Zobel^2,4, Carlo Augusto Mallio^2,4

Canadian Journal of Urology, Vol.32, No.5, pp. 433-443, 2025, DOI:10.32604/cju.2025.068390 - 30 October 2025

Abstract Background: Radiogenomics offers a non-invasive approach to correlate imaging features with tumor molecular profiles. This study aims to identify computed tomography (CT) imaging characteristics associated with positive NIPA-like domain containing 4 (NIPAL4) expression in clear cell renal cell carcinoma (ccRCC) and to develop a radiogenomic predictive model to support personalized risk stratification. Methods: A retrospective analysis was conducted on 241 ccRCC patients from The Cancer Genome Atlas (TCGA) and The Cancer Imaging Archive (TCIA) databases. Clinical, pathological, and CT features were compared between NIPAL4-positive and NIPAL4-negative groups. A penalized logistic regression model was built to… More >

Gabriel Matheus Da Silva Batista, Lucas Pina Rodrigues, Andrey Jorge Serra^*

BIOCELL, Vol.49, No.10, pp. 1873-1885, 2025, DOI:10.32604/biocell.2025.067186 - 22 October 2025

Abstract Adipose-derived stem cells (ADSCs) therapy has emerged as a promising strategy for treating degenerative, inflammatory, and cardiometabolic diseases. In addition to their higher bioavailability in adipose tissue, ADSCs demonstrate superior activity in producing specific immune modulators and growth factors when compared to other stem cell types. The detrimental impact of heart failure (HF)—a condition that still lacks a fully effective therapy—has driven significant interest in the therapeutic potential of ADSCs. This interest is supported by robust evidence from experimental studies employing HF animal models. Accordingly, this review aims to explore the cardioprotective mechanisms through which More >

Bouasria Youssef, Zaimi Mhammed, El Ainaoui Khadija, Assaid El Mahdi^*

Energy Engineering, Vol.122, No.10, pp. 4195-4223, 2025, DOI:10.32604/ee.2025.067425 - 30 September 2025

Abstract Current research focuses on the performance degradation of photovoltaic (PV) modules, examining both crystalline silicon (p-Si and m-Si) and thin-film technologies, including a-Si/c-Si, HIT, CdTe and CIGS. These modules were operated outdoors in two distinct climatic zones in the United States (US) over a period of three years. The degradation analysis includes the study of various quantities, such as the decrease in peak power, the reduction in current and voltage, and the variation in the fill factor. The annual degradation rate (DR) of PV modules is obtained by a linear fit of the effective maximum… More >

Sae Hee Cheon¹, Sung-Whan Kim^2,3,*

BIOCELL, Vol.49, No.9, pp. 1697-1710, 2025, DOI:10.32604/biocell.2025.068743 - 25 September 2025

Abstract Objectives: Despite the considerable regenerative capacity exhibited by adipose-derived mesenchymal stem cells (ASCs), their genetic and molecular mechanisms remain incompletely understood. Methods: In this study, we analyzed the global gene expression profile of adipose-derived mesenchymal stem cells (ASCs) using microarray analysis and compared it with stromal vascular fraction (SVF) cells. Results: Microarray analysis revealed that ASCs express elevated levels of genes related to the extracellular matrix (ECM; extracellular matrix) and collagen, which are critical components of tissue remodeling and wound healing. Additionally, genes associated with cell growth, differentiation, motility, and plasticity were highly expressed. When compared… More >

Shuo Zhang, Hanwu He, Yueming Wu^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 801-826, 2025, DOI:10.32604/cmc.2025.066540 - 29 August 2025

Abstract Virtual maintenance, as an important means of industrial training and education, places strict requirements on the accuracy of participant pose perception and assessment of motion standardization. However, existing research mainly focuses on human pose estimation in general scenarios, lacking specialized solutions for maintenance scenarios. This paper proposes a virtual maintenance human pose estimation method based on multi-scale feature enhancement (VMHPE), which integrates adaptive input feature enhancement, multi-scale feature correction for improved expression of fine movements and complex poses, and multi-scale feature fusion to enhance keypoint localization accuracy. Meanwhile, this study constructs the first virtual maintenance-specific… More >

Xuelin Qin¹, Huinan Sang², Shihua Wu², Shishu Chen², Zhiwei Chen², Yongjun Ren^2,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1959-1980, 2025, DOI:10.32604/cmc.2025.066266 - 29 August 2025

Abstract As an essential tool for quantitative analysis of lower limb coordination, optical motion capture systems with marker-based encoding still suffer from inefficiency, high costs, spatial constraints, and the requirement for multiple markers. While 3D pose estimation algorithms combined with ordinary cameras offer an alternative, their accuracy often deteriorates under significant body occlusion. To address the challenge of insufficient 3D pose estimation precision in occluded scenarios—which hinders the quantitative analysis of athletes’ lower-limb coordination—this paper proposes a multimodal training framework integrating spatiotemporal dependency networks with text-semantic guidance. Compared to traditional optical motion capture systems, this work… More >

Ahmad Mwfaq Bataineh^1,2,*, Ahmad Sufril Azlan Mohamed¹

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 93-124, 2025, DOI:10.32604/cmc.2025.064250 - 09 June 2025

Abstract Advancements in deep learning have considerably enhanced techniques for Rapid Entire Body Assessment (REBA) pose estimation by leveraging progress in three-dimensional human modeling. This survey provides an extensive overview of recent advancements, particularly emphasizing monocular image-based methodologies and their incorporation into ergonomic risk assessment frameworks. By reviewing literature from 2016 to 2024, this study offers a current and comprehensive analysis of techniques, existing challenges, and emerging trends in three-dimensional human pose estimation. In contrast to traditional reviews organized by learning paradigms, this survey examines how three-dimensional pose estimation is effectively utilized within musculoskeletal disorder (MSD)… More >

Yangyang Cao, Jiye Zhang^*, Jiawei Shi, Yao Zhang

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1079-1098, 2025, DOI:10.32604/fdmp.2025.060429 - 30 May 2025

Abstract The pantograph area is a critical source of aerodynamic noise in high-speed trains, generating noise both directly and through its cavity, a factor that warrants considerable attention. One effective method for reducing aerodynamic noise within the pantograph cavity involves the introduction of a jet at the leading edge of the cavity. This study investigates the mechanisms driving cavity aerodynamic noise under varying jet velocities, using Improved Delayed Detached Eddy Simulation (IDDES) and Ffowcs Williams-Hawkings (FW-H) equations. The numerical simulations reveal that an increase in jet velocity results in a higher elevation of the shear layer… More >