Rui Xu¹, Chaogan Gao¹, Jiale Shi², Guorui Yu¹, Quhao Li^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1-16, 2025, DOI:10.32604/cmes.2025.071942 - 30 October 2025

Abstract To address the design challenges of helicopter hub central components under high-performance requirements, this paper conducts safe-life topology optimization design research considering fatigue performance for rotor hub central components under multi-load conditions, combined with helicopter fatigue strength engineering design theory. For dealing with the issues of derivative calculation difficulties when directly considering fatigue constraints in existing topology optimization methods, this study establishes a mathematical formulation suitable for structural topology optimization of hub central components by combining modified structural safety fatigue limits based on iso-life curves. Then the sensitivity analysis of design variables is derived, and More >

Nguyen Dong Phuong¹, Nanthakumar Srivilliputtur Subbiah¹, Yabin Jin², Xiaoying Zhuang^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 263-303, 2025, DOI:10.32604/cmes.2025.067100 - 30 October 2025

Abstract Traditional inverse neural network (INN) approaches for inverse design typically require auxiliary feedforward networks, leading to increased computational complexity and architectural dependencies. This study introduces a standalone INN methodology that eliminates the need for feedforward networks while maintaining high reconstruction accuracy. The approach integrates Principal Component Analysis (PCA) and Partial Least Squares (PLS) for optimized feature space learning, enabling the standalone INN to effectively capture bidirectional mappings between geometric parameters and mechanical properties. Validation using established numerical datasets demonstrates that the standalone INN architecture achieves reconstruction accuracy equal or better than traditional tandem approaches while More >

Fida Hussain^1,*, Farooq Khan², Javed Ahmad¹, Heqiang Huo³, Tao Jiang³, Iqrar Rana⁴, Sajida Habib⁵, Muhammad Umer Farooq^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3231-3249, 2025, DOI:10.32604/phyton.2025.069654 - 29 October 2025

Abstract The analysis of combining ability and heterosis is very important in enhancing the yield and oil quality of sunflowers under adverse conditions, and it reveals the potential of the parents and the mechanism of gene action. In this study, twenty-one hybrids were developed by crossing seven cytoplasmic male sterile (CMS) lines with three restorer lines and evaluated for agronomic and quality traits. Highly significant general combining ability (GCA) and specific combining ability (SCA) effects were observed, confirming the role of both additive and non-additive gene actions. Among the tested crosses, A-42 × R-86, A-92 ×… More >

Xin Wen^1,2,3, Siru Chen¹, Kechen Song^2,3,4,*, Han Yu^2,3,*, Xingjie Li^2,3, Ling Zhong¹

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4173-4201, 2025, DOI:10.32604/cmc.2025.070906 - 23 October 2025

Abstract With the growing demand for higher product quality in manufacturing, X-ray non-destructive testing has found widespread application not only in industrial quality control but also in a wide range of industrial applications, owing to its unique capability to penetrate materials and reveal both internal and surface defects. This paper presents a systematic review of recent advances and current applications of X-ray-based defect detection in industrial components. It begins with an overview of the fundamental principles of X-ray imaging and typical inspection workflows, followed by a review of classical image processing methods for defect detection, segmentation,… More >

Menghan Li^1,2,#, Yuhui He^1,#, Changning Chen², Li Liu², Jia Xu², Jiahao Cao^1,2, Xiaotong Guo^1,*, Linlin Dong^1,2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2575-2591, 2025, DOI:10.32604/phyton.2025.064518 - 29 August 2025

Abstract Codonopsis pilosula is a major Qi-tonifying medicinal herb, and its active composition is analyzed systematically. However, the relationship between its production origins and commodity specification grades with the active composition of C. pilosula lacks systematic research. This study integrates the HPLC and UV-Vis methodologies to evaluate the quality of C. pilosula from commodity specification grades and different origins, and it explores the correlation between ecological factors and production origins with active components. Here, network pharmacology is used to determine that lobetyolin, syringin, and tangshenoside I have potential efficacy in treating pulmonary fibrosis and oxidative stress. The HPLC and… More >

Shih-Lin Lin^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1365-1382, 2025, DOI:10.32604/cmc.2025.067764 - 29 August 2025

Abstract This paper proposes an integrated multi-stage framework to enhance frequency modulated continuous wave (FMCW) automotive radar performance under high noise and interference. The four-stage pipeline is applied consecutively: (i) an improved independent component analysis (ICA) blindly separates the two-channel echoes, isolating target and interference components; (ii) a recursive least-squares (RLS) filter compensates amplitude- and phase-mismatches, restoring signal fidelity; (iii) variational mode decomposition (VMD) followed by the Hilbert-Huang Transform (HHT) extracts noise-free intrinsic mode functions (IMFs) and sharpens their time-frequency signatures; and (iv) HHT-based beat-frequency estimation reconstructs a clean echo and delivers accurate range information. Finally, More >

Shunying Zhao^1,2,*, Baojuan Ye^2,*, Min Rao², Yulan Guo¹

Journal of Psychology in Africa, Vol.35, No.4, pp. 463-470, 2025, DOI:10.32604/jpa.2025.070060 - 17 August 2025

Abstract This study investigated how components of threat-related attentional biases are associated with levels of sense of control. Utilizing a using a spatial-cueing paradigm, 36 college students with a high sense of control (females = 22, M_age = 19.44, SD = 1.36) and 35 with a low sense of control (females = 15, M_age = 19.77, SD = 1.40) were assigned to task featuring different cue-target intervals (i.e., 50 and 800 ms). The student participants completed the Control Sense Scale, the GAD-7 Anxiety Scale, and the PHQ-9 Patient Health Questionnaire. Data from employing spatial-cueing task procedure, would provide… More >

Kofi Bonsu^*, Olivier Bonin

Revue Internationale de Géomatique, Vol.34, pp. 639-654, 2025, DOI:10.32604/rig.2025.067000 - 11 August 2025

Abstract This study analyzes the spatial accessibility of key services in Caen, France, focusing on how different transport modes (car, bicycle, and public transit) influence access to essential services across the urban and suburban landscape. Indeed, the introduction of traffic restrictions in towns with low emission zones encourages a detailed study, on a fine spatial scale, of the differences in accessibility between different modes of transport, for different services and for different journey times. Using spatial analysis techniques, we examine accessibility patterns in relation to services such as shops, healthcare, education, and tourism, highlighting significant disparities… More >

Ibrahim T. Teke^1,2, Ahmet H. Ertas^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 201-237, 2025, DOI:10.32604/cmes.2025.066644 - 31 July 2025

Abstract Fatigue failure continues to be a significant challenge in designing structural and mechanical components subjected to repeated and complex loading. While earlier studies mainly examined material properties and how stress affects lifespan, this review offers the first comprehensive, multiscale comparison of strategies that optimize geometry to improve fatigue performance. This includes everything from microscopic features like the shape of graphite nodules to large-scale design elements such as fillets, notches, and overall structural layouts. We analyze and combine various methods, including topology and shape optimization, the ability of additive manufacturing to fine-tune internal geometries, and reliability-based More >

Khlood M. Mehdar¹, Toufique A. Soomro^2,3,*, Ahmed Ali⁴, Faisal Bin Ubaid⁵, Muhammad Irfan^6,*, Sabah Elshafie Mohammed Elshafie¹, Aisha M. Mashraqi⁷, Abdullah A. Asiri⁸, Nagla Hussien Mohamed Khalid⁸, Hanan T. Halawani⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3091-3132, 2025, DOI:10.32604/cmes.2025.065471 - 30 June 2025

Abstract Breast cancer remains one of the most pressing global health concerns, and early detection plays a crucial role in improving survival rates. Integrating digital mammography with computational techniques and advanced image processing has significantly enhanced the ability to identify abnormalities. However, existing methodologies face persistent challenges, including low image contrast, noise interference, and inaccuracies in segmenting regions of interest. To address these limitations, this study introduces a novel computational framework for analyzing mammographic images, evaluated using the Mammographic Image Analysis Society (MIAS) dataset comprising 322 samples. The proposed methodology follows a structured three-stage approach. Initially,… More >