Wael A. Altabey^*

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.073949 - 31 March 2026

Abstract The study of long-term pavement performance is a fundamental topic in the field of highway engineering. Through comprehensive and in-depth research on the pavement system, the previous scattered, one-sided, superficial, and perceptual knowledge and experience are summarized and sublimated into a systematic and complete engineering theory, thereby providing powerful guidance and assistance for the practice of pavement design, construction, maintenance, operation, and management. In this research, the mentoring system deployment technology for automatic monitoring is carried out for long-term pavement performance. By burying a variety of sensors in different parts of the road surface, base,… More >

Xianghui Li^1,2, Xin Fu³, Libo Pan², Fancong Zeng^1,2,*, Zhijiang Zuo^1,2

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.073124 - 31 March 2026

Abstract The present study proposes an autonomous visual inspection system based on Wall-Climbing Robot (WCR), with a view to addressing the shortcomings of traditional building crack detection methods, namely their low measurement accuracy, high manual dependence and insufficient environmental adaptability. The system has been developed to construct a crack recognition model with robust illumination adaptation by fusing the improved YOLOv5s target detection algorithm with the Canny edge enhancement algorithm. The system has been realized as a lightweight deployment on an embedded device (MaixCAM). The robot platform employs a design scheme integrating a dual-chamber negative pressure adsorption… More >

Xuming Mo^1,*, Taibing Fan^2,*, Zhongdong Hua^3,*, Christoph Haller⁴, Shinichiro Oda⁵, Shuhua Luo⁶, Weijie Liang², Yuzhong Yang¹, Huaipu Liu³, Nianguo Dong⁷, Shoujun Li⁸, Xinxin Chen⁹, Jimei Chen¹⁰, Hao Zhang¹¹, Qiang Shu¹², Haibo Zhang¹¹, Quansheng Xing¹³, Jinghao Zheng¹¹, Xiaofeng Li¹⁴, Teng Ming¹⁵, Qi An¹⁶, Ping Wen¹⁷, Qiang Wang¹⁸, Jirong Qi¹, Huiwen Chen¹¹, Shusheng Wen¹⁹, Rui Chen²⁰, Ming Ye²¹, Keming Yang⁸, Minhua Fang²², Caixia Liu²³, Ke Lin¹⁶, Zhongshi Wu²⁴, Xiangming Fan¹², Zhengxia Pan²⁵, Yiqun Ding²⁶, Ming’an Pi²⁷, Xin Li²⁸, Yong Zou²⁹, Shuguang Tao³⁰, Renwei Chen³¹, Li Ma⁹, Libing Zhang³², Tao You³³, Dongshan Liao³⁴, Cheng Zhou³⁵, Hongxin Li³⁶, Gengxu Zhou³⁷, Chunhu Gu³⁸, Zhiqiang Li³⁹, Yonggang Li²⁵, Hui Zhang⁴⁰, Xiaomin He¹¹, Yanan Lu¹¹, Haifa Hong⁴¹, Benqing Zhang⁸, Li Gong²⁷, Jiafeng Qi⁴², Song Bai³⁹, Yuhang Liu⁴³, Tianli Zhao²⁴, Cardiothoracic Surgery Group, Pediatric Surgery Branch of Chinese Medical Doctor Association, Cardiac Surgery Group, Pediatric Surgery Branch of Chinese Medical Association, the Asian Association for Pediatric and Congenital Heart Surgery

Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.077974 - 31 March 2026

Abstract Congenital heart disease (CHD) is a common birth defect in children, and surgical intervention is the primary treatment. The traditional standard median sternotomy (MS) has drawbacks such as significant trauma and obvious scarring. The right axillary incision (RAI) has gradually become a conventional approach due to its advantages of preserving thoracic cage integrity, small incision size, rapid recovery, and hidden scarring. However, there is currently a lack of relevant guidelines and consensus for its application. This consensus adopts the international Delphi process, systematically searching domestic and foreign literature on CHD from 1982 to 2024. It… More >

Wei-Chiang Hong^1,*, Yi Liang²

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.080415 - 30 March 2026

Abstract This article has no abstract. More >

Saira Batool^*, Muhammad Imran^*, Brett McKinney^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.079067 - 30 March 2026

Abstract Bacterial growth requires strategic allocation of limited intracellular resources, especially under cold stress, where stabilized messenger ribonucleic acid (mRNA) secondary structures slow translation by impairing ribosome binding. Escherichia coli (E. coli) counters this bottleneck by inducing the cold-shock protein A (CspA), an RNA chaperone that remodels inhibitory structures. However, synthesizing CspA diverts biosynthetic capacity from ribosome production and metabolism, creating a fundamental resource-allocation trade-off. In this work, we develop a dynamical model capturing the interplay between metabolic precursors, ribosomes, and CspA, and use it to examine how growth and allocation patterns shift with temperature. Steady-state analysis shows… More >

Jaeho Hwang¹, Moohong Min^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078940 - 30 March 2026

Abstract Illicit web ecosystems, encompassing phishing, illegal online gambling, scam platforms, and malicious advertising, have rapidly expanded in scale and complexity, creating severe social, financial, and cybersecurity risks. Traditional rule-based and blacklist-driven detection approaches struggle to cope with polymorphic, multilingual, and adversarially manipulated threats, resulting in increasing demand for Artificial Intelligence (AI)-based solutions. This review provides a comprehensive synthesis of research on AI-driven threat detection for illicit web environments. It surveys detection models across multiple modalities, including text-based analysis of Uniform Resource Locator (URL) and HyperText Markup Language (HTML), vision-based recognition of webpage layouts and logos,… More >

Muhammad Adnan Tariq¹, Sunawar Khan², Tehseen Mazhar^2,3, Tariq Shahzad⁴, Sahar Arooj⁵, Khmaies Ouahada⁶, Muhammad Adnan Khan^7,*, Habib Hamam^8,9,10,11

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078672 - 30 March 2026

Abstract The contemporary smart cities, smart homes, smart buildings, and smart health care systems are the results of the explosive growth of Internet of Things (IoT) devices and deep learning. Yet the centralized training paradigms have fundamental issues in data privacy, regulatory compliance, and ownership silo alongside the scaled limitations of the real-life application. The concept of Federated Deep Learning (FDL) is a privacy-by-design method that will enable the distributed training of machine learning models among distributed clients without sharing raw data and is suitable in heterogeneous urban settings. It is an overview of the privacy-preserving… More >

Ryul Kim, Young Hwan Choi^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.077480 - 30 March 2026

Abstract Leakage events occurring at multiple locations simultaneously generate overlapping and topology-dependent pressure signatures, making reliable detection and subsequent restoration planning a persistent challenge in water distribution systems (WDSs). While recent data-driven techniques have improved the ability to identify anomalous hydraulic behavior, most approaches remain limited to the detection stage and offer little guidance on how utilities should prioritize repairs once multiple failures are identified. To bridge this gap, this study proposes an integrated framework that links topology-aware leakage detection with quantitative restoration prioritization. First, a multi-task learning framework based on Graph Attention Networks (GAT) is… More >

Milan Sága, Ján Minárik^*, Milan Vaško, Jaroslav Majko

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.076734 - 30 March 2026

Abstract The presented study analyses the impact of hysteresis on the response of mechanical systems. The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to describe a damaged or a faulty system. The hysteretic models are able to describe various types of nonlinear behaviour that can reflect the wear or damage of the system components. The data obtained from these models can possibly serve as a basis for the advanced approaches, such as digital twin modelling and predictive maintenance. All the results presented in this… More >

Yan Shi^1,2, Xin Wang³, Yi Wang³, Bingfeng Zhao⁴, Shang Ren⁴, Xufang Zhang^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.076624 - 30 March 2026

Abstract This paper introduces a computationally efficient global sensitivity analysis method for quantifying the influence of uncertain clamp support conditions on the natural frequencies of aero-engine pipe systems. The dynamic model is based on a three-dimensional Timoshenko beam finite element formulation, with clamps represented as distributed spring elements possessing anisotropic stiffness. To overcome the prohibitive cost of traditional Monte Carlo simulation, the multiplicative dimensional reduction method (M-DRM) is integrated with variance decomposition theory. This approach approximates the high-dimensional frequency response function as a product of univariate components, enabling rapid computation of Sobol’ sensitivity indices with a More >