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  • Open Access

    ARTICLE

    Calculation Method and Simulation for Workspace of Arm–Rail Coordinated Spray Painting Robot

    Kai Li1, Guolei Wang2, Dunmin Lu1,*, Yanbin Yao3, Zhiyong Li4

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077651 - 09 April 2026

    Abstract To address the need for improving the efficiency of spray painting large and complex curved surfaces, this study investigates the arm–rail coordinated spray painting operation method and proposes a robot workspace calculation method for efficient spray area partitioning. The steps for calculating the workspace under the constraints of the principal normal vector and the conical pose domain are introduced, along with an analysis of the robot’s forward and inverse kinematics. Simulation validation was conducted using a wind turbine blade as the target object. The results show that the workspace based on conical pose domain constraints More >

  • Open Access

    ARTICLE

    Painted Wolf Optimization: A Novel Nature-Inspired Metaheuristic Algorithm for Real-World Optimization Problems

    Saeid Sheikhi*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.077788 - 12 March 2026

    Abstract Metaheuristic optimization algorithms continue to be essential for solving complex real-world problems, yet existing methods often struggle with balancing exploration and exploitation across diverse problem landscapes. This paper proposes a novel nature-inspired metaheuristic optimization algorithm named the Painted Wolf Optimization (PWO) algorithm. The main inspiration for the PWO algorithm is the group behavior and hunting strategy of painted wolves, also known as African wild dogs in the wild, particularly their unique consensus-based voting rally mechanism, a behavior fundamentally distinct from the social dynamics of grey wolves. In this innovative process, pack members explore different areas… More >

  • Open Access

    ARTICLE

    Associations between ureteral stent indwelling time, patient characteristics, and stent pain from an international prospective registry

    Connor M. Forbes1,*, Ben H. Chew1, K.F. Victor Wong1, Runhan Ren1, Yuanyuan Ji2, Alexander P. Glaser3, Kazumi Taguchi4, Amy E. Krambeck5, Marcelino E. Rivera6, Ojas Shah7, Edouard Tariel8, Channa Amarasekera5, Shuzo Hamamoto4, Dirk Lange1, Wilson R. Molina9, John J. Knoedler10, Mitchell R. Humphreys11, Karen L. Stern,11

    Canadian Journal of Urology, Vol.32, No.4, pp. 335-344, 2025, DOI:10.32604/cju.2025.063577 - 29 August 2025

    Abstract Objectives: Previous studies have shown conflicting results concerning the optimal duration of ureteral stenting after endourologic treatment of stone disease, its effect on patient comfort, and the necessity for emergent, unscheduled care. This study assessed the impact of stent duration, sex, and other patient-associated factors on reported pain scores using a large, international prospective registry. Methods: A prospective observational patient registry on ureteral stents from 10 institutions in 4 countries (United States, Canada, France, and Japan) from 2020–2023 was assessed. The primary outcome was Patient-Reported Outcomes Measurement Information System (PROMIS) pain intensity scores administered on… More >

  • Open Access

    ARTICLE

    An Image Inpainting Approach Based on Parallel Dual-Branch Learnable Transformer Network

    Rongrong Gong1,#, Tingxian Zhang2,#, Yawen Wei2, Dengyong Zhang2, Yan Li3,*

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1221-1234, 2025, DOI:10.32604/cmc.2025.066842 - 29 August 2025

    Abstract Image inpainting refers to synthesizing missing content in an image based on known information to restore occluded or damaged regions, which is a typical manifestation of this trend. With the increasing complexity of image in tasks and the growth of data scale, existing deep learning methods still have some limitations. For example, they lack the ability to capture long-range dependencies and their performance in handling multi-scale image structures is suboptimal. To solve this problem, the paper proposes an image inpainting method based on the parallel dual-branch learnable Transformer network. The encoder of the proposed model More >

  • Open Access

    ARTICLE

    Influence of Psychological Factors Related with Body Image Perception on Resistance to Physical Activity amongst University Students in Southern Spain

    Gracia Cristina Villodres1,#,*, Federico Salvador-Pérez2, José Joaquín Muros1, Rocío Vizcaíno-Cuenca3,4,#

    International Journal of Mental Health Promotion, Vol.27, No.7, pp. 877-899, 2025, DOI:10.32604/ijmhp.2025.066137 - 31 July 2025

    Abstract Background: University students face significant challenges in maintaining healthy physical activity (PA) and dietary habits, and they often fall short of global health recommendations. Psychological factors such as social physique anxiety, body image concerns, and self-objectification may act as barriers to PA engagement, influencing both mental and physical health. The present study constructed a structural equation model (SEM) to examine the relationship between body image-related psychological factors and resistance to PA in university students from southern Spain. Methods: A cross-sectional and correlational study was conducted with 519 university students (74% females, 26% males; Mean age… More >

  • Open Access

    ARTICLE

    Multi-Scale Dilated Attention-Based Transformer Network for Image Inpainting

    Jinrong Li1,2, Chunhua Wei2, Lei Liang2,3,*, Zhisheng Gao1,*

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3259-3280, 2025, DOI:10.32604/cmc.2025.063547 - 03 July 2025

    Abstract The Pressure Sensitive Paint Technique (PSP) has gained attention in recent years because of its significant benefits in measuring surface pressure on wind tunnel models. However, in the post-processing process of PSP images, issues such as pressure taps, paint peeling, and contamination can lead to the loss of pressure data on the image, which seriously affects the subsequent calculation and analysis of pressure distribution. Therefore, image inpainting is particularly important in the post-processing process of PSP images. Deep learning offers new methods for PSP image inpainting, but some basic characteristics of convolutional neural networks (CNNs)… More >

  • Open Access

    ARTICLE

    Enhanced Multimodal Physiological Signal Analysis for Pain Assessment Using Optimized Ensemble Deep Learning

    Karim Gasmi1, Olfa Hrizi1,*, Najib Ben Aoun2,3, Ibrahim Alrashdi1, Ali Alqazzaz4, Omer Hamid5, Mohamed O. Altaieb1, Alameen E. M. Abdalrahman1, Lassaad Ben Ammar6, Manel Mrabet6, Omrane Necibi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2459-2489, 2025, DOI:10.32604/cmes.2025.065817 - 30 May 2025

    Abstract The potential applications of multimodal physiological signals in healthcare, pain monitoring, and clinical decision support systems have garnered significant attention in biomedical research. Subjective self-reporting is the foundation of conventional pain assessment methods, which may be unreliable. Deep learning is a promising alternative to resolve this limitation through automated pain classification. This paper proposes an ensemble deep-learning framework for pain assessment. The framework makes use of features collected from electromyography (EMG), skin conductance level (SCL), and electrocardiography (ECG) signals. We integrate Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Bidirectional Gated Recurrent Units (BiGRU),… More >

  • Open Access

    ARTICLE

    What Factors Predict Prosocial Behavior during Social Crisis? A Cross-Sectional Study during the COVID-19 Pandemic in Spain

    Agar Marín-Morales1,2,*, Sofia Amaoui2, Carmen Fernández-Fillol2,3,4, Gustavo Carlo5, Sandra Rivas-García2,6

    International Journal of Mental Health Promotion, Vol.27, No.4, pp. 561-576, 2025, DOI:10.32604/ijmhp.2025.058881 - 30 April 2025

    Abstract Background: Prosocial behavior plays a crucial role in improving interpersonal relationships and social well-being, especially in times of crisis. The COVID-19 pandemic caused a severe humanitarian crisis, prompting governments to implement measures such as social confinement. The main objective of the study was to analyze the psychological and sociodemographic variables that may predict prosocial behavior during quarantine. Methods: The sample consisted of 172 participants from Spain, divided into two groups based on whether they reported an increase in prosocial behaviors during quarantine. An online survey was administered to analyze the psychological and sociodemographic variables. Results: Overall, More >

  • Open Access

    ARTICLE

    Blur-Deblur Algorithm for Pressure-Sensitive Paint Image Based on Variable Attention Convolution

    Ruizhe Yu1, Tingrui Yue3, Lei Liang2,3,*, Zhisheng Gao1,*

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5239-5256, 2025, DOI:10.32604/cmc.2025.059077 - 06 March 2025

    Abstract In the PSP (Pressure-Sensitive Paint), image deblurring is essential due to factors such as prolonged camera exposure times and high model velocities, which can lead to significant image blurring. Conventional deblurring methods applied to PSP images often suffer from limited accuracy and require extensive computational resources. To address these issues, this study proposes a deep learning-based approach tailored for PSP image deblurring. Considering that PSP applications primarily involve the accurate pressure measurements of complex geometries, the images captured under such conditions exhibit distinctive non-uniform motion blur, presenting challenges for standard deep learning models utilizing convolutional… More >

  • Open Access

    ARTICLE

    Associations of Physical Activity and Sedentary Behavior with Internalizing Problems among Youth with Chronic Pain

    Lingling Yu1,2, Yanxia Chen3,*, Jinming Li2, André O. Werneck4, Fabian Herold5, Alyx Taylor6, Benjamin Tari7, Liye Zou2

    International Journal of Mental Health Promotion, Vol.27, No.2, pp. 97-110, 2025, DOI:10.32604/ijmhp.2025.061237 - 03 March 2025

    Abstract Background: Taking actions to maintain a healthy lifestyle, including regular engagement in physical activity (PA) and reducing sedentary behavior (SB), may protect against the development of internalizing problems among healthy youth. However, it remains unclear whether such associations exist among youth with chronic pain who often report symptoms of depression and anxiety. To this end, we aimed to investigate the associations between independent and combined PA and/or SB patterns with indicators of internalizing problems in this vulnerable population. Methods: Data used in this cross-sectional study were retrieved from the U.S. National Survey of Children’s Health… More >

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