Tianyuan Qi¹, Junpeng Zhao^1,2,*, Chunjie Wang^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 127-151, 2025, DOI:10.32604/cmes.2025.070769 - 30 October 2025

Abstract A major bottleneck in large-scale eigenfrequency topology optimization is the repeated solution of the generalized eigenvalue problem. This work presents an efficient graphics processing unit (GPU) solver for three-dimensional (3D) topology optimization that maximizes the fundamental eigenfrequency. The Successive Iteration of Analysis and Design (SIAD) framework is employed to avoid solving a full eigenproblem at every iteration. The sequential approximation of the eigenpairs is solved by the GPU-accelerated multigrid-preconditioned conjugate gradient (MGPCG) method to efficiently improve the eigenvectors along with the topological evolution. The cluster-mean approach is adopted to address the non-differentiability issue caused by… More > Graphic Abstract

Zeinel Momynkulov^1,2, Azhar Tursynova^1,2,*, Olzhas Olzhayev^1,2, Akhanseri Ikramov^1,2, Sayat Ibrayev¹, Batyrkhan Omarov^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 891-918, 2025, DOI:10.32604/cmes.2025.068615 - 30 October 2025

Abstract Robotic manipulators increasingly operate in complex three-dimensional workspaces where accuracy and strict limits on position, velocity, and acceleration must be satisfied. Conventional geometric planners emphasize path smoothness but often ignore dynamic feasibility, motivating control-aware trajectory generation. This study presents a novel model predictive control (MPC) framework for three-dimensional trajectory planning of robotic manipulators that integrates second-order dynamic modeling and multi-objective parameter optimization. Unlike conventional interpolation techniques such as cubic splines, B-splines, and linear interpolation, which neglect physical constraints and system dynamics, the proposed method generates dynamically feasible trajectories by directly optimizing over acceleration inputs while… More >

Fang Yuan, Xueyao Gao^*, Chunxiang Zhang

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5037-5055, 2025, DOI:10.32604/cmc.2025.067760 - 23 October 2025

Abstract 3D model classification has emerged as a significant research focus in computer vision. However, traditional convolutional neural networks (CNNs) often struggle to capture global dependencies across both height and width dimensions simultaneously, leading to limited feature representation capabilities when handling complex visual tasks. To address this challenge, we propose a novel 3D model classification network named ViT-GE (Vision Transformer with Global and Efficient Attention), which integrates Global Grouped Coordinate Attention (GGCA) and Efficient Channel Attention (ECA) mechanisms. Specifically, the Vision Transformer (ViT) is employed to extract comprehensive global features from multi-view inputs using its self-attention More >

Saif Allah Allouani¹, Amine Zenjari², Abla Berrada¹, Mohammed Ben Amar¹, Amal Zaki^2,*

Journal of Psychology in Africa, Vol.35, No.5, pp. 619-625, 2025, DOI:10.32604/jpa.2025.070238 - 24 October 2025

Abstract This study adapted and validated the Three-Dimensional Wisdom Scale (3D-WS; Ardelt, 2003) for a Moroccan adult sample. The 3D-WS conceptualizes wisdom through cognitive, reflective, and affective dimensions. A total of 404 Moroccan adults (56.9% women; M = 31.8 years, SD = 9.4) completed an online survey. Exploratory factor analysis (principal-axis extraction with Promax rotation) reduced the scale to 15 culturally adapted items across three factors, accounting for 44.3% of the total variance. Confirmatory factor analysis demonstrated satisfactory fit: χ²/df = 1.46, GFI = 0.94, CFI = 0.91, RMSEA = 0.049. Bifactor modeling indicated a strong More >

Sofija Jovanović Stojanov¹, Marija Grozdanić¹, Mila Ljujić², Sandra Dragičević², Miodrag Dragoj¹, Jelena Dinić^1,*

Oncology Research, Vol.33, No.10, pp. 2741-2785, 2025, DOI:10.32604/or.2025.067126 - 26 September 2025

Abstract Anticancer drug resistance remains a major challenge in cancer treatment hindering the efficacy of chemotherapy and targeted therapies. Conventional two-dimensional (2D) cell cultures cannot replicate the complexity of the in vivo tumor microenvironment (TME), limiting their utility for drug resistance research. Therefore, three-dimensional (3D) tumor models have proven to be a promising alternative for investigating chemoresistance mechanisms. In this review, various cancer 3D models, including spheroids, organoids, scaffold-based models, and bioprinted models, are comprehensively evaluated with a focus on their application in drug resistance studies. We discuss the materials, properties, and advantages of each model, highlighting More > Graphic Abstract

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 >

Wanqing Yuan¹, Huiying Xie¹, Can Huang², Xiaoliang Wang^1,3,*, Qingquan Liu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2045-2066, 2025, DOI:10.32604/cmes.2025.058977 - 27 January 2025

Abstract Landing spacecraft experience significant impact forces during landing, resulting in large deformation and failure in the soil surface, which severely affects landing safety and stability. This paper establishes a smoothed particle hydrodynamics (SPH) model based on the theory of soil elastoplastic constitutive relations to describe the process of a lander’s footpad impacting lunar regolith vertically. The model can provide engineering indices such as impact load and penetration depth, and illustrate the large deformation and crater characteristics of the regolith. A detailed analysis of the response of the footpad and lunar regolith during landing reveals that… More > Graphic Abstract

SAYUMI TAHARA¹, SYDNEY RENTSCH¹, FERNANDA COSTAS CASAL DE FARIA¹, PATRICIA SARCHET¹, ROMA KARNA¹, FEDERICA CALORE^2,*, RAPHAEL E. POLLOCK¹

Oncology Research, Vol.33, No.1, pp. 1-13, 2025, DOI:10.32604/or.2024.053635 - 20 December 2024

Abstract Liposarcoma is one of the most common soft tissue sarcomas, however, its occurrence rate is still rare compared to other cancers. Due to its rarity, in vitro experiments are an essential approach to elucidate liposarcoma pathobiology. Conventional cell culture-based research (2D cell culture) is still playing a pivotal role, while several shortcomings have been recently under discussion. In vivo, mouse models are usually adopted for pre-clinical analyses with expectations to overcome the issues of 2D cell culture. However, they do not fully recapitulate human dedifferentiated liposarcoma (DDLPS) characteristics. Therefore, three-dimensional (3D) culture systems have been the recent… More >

Mouna Benshab¹, Said Bouchta^1,2,*, M’barek Feddaoui¹, Abdellatif Dayf¹, Jaouad Bouchta¹, Abderrahman Nait Alla¹

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1865-1885, 2024, DOI:10.32604/fhmt.2024.056551 - 19 December 2024

Abstract This paper presents a numerical study on natural convection and heat transfer using a hybrid nanofluid within a three-dimensional cavity under the influence of a magnetic field. The primary objective of this research is to analyze how various magnetic field conditions affect the thermal performance of the hybrid nanofluid, particularly in terms of heat transfer and fluid motion. Specific objectives include evaluating the effects of the Rayleigh number, nanoparticle volume fraction, and Hartmann number on the dynamic and thermal fields, as well as the overall heat transfer efficiency. The transport equations were discretized using the… More >

Sheng Guo^1,2,*, Mengmeng Yang¹, Yao Huang², Xizi Gao¹, Chao Cai^3,*, Kun Zhou^4,5,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012655

Abstract 3D printing technology has demonstrated considerable potential in wastewater remediation. Zero-valent metal (ZVM) has been recognized as an efficient catalyst facilitating the organic pollutant degradation in water. However, owing to its inclination toward oxidation and aggregation, the practical utilization of ZVM remains a challenge. Herein, we have employed 3D printing techniques to fabricate hierarchically porous ZVM, such as zero-valent copper and zero-valent iron, which exhibit a high level of printing precision and commendable resistance to compression. These 3D-ZVM catalysts can effectively activate peroxymonosulfate (PMS), thereby degrading various organic pollutants, including tetracycline, ciprofloxacin, rhodamine B, and… More >