Lu Zhang^1,*, Yuzhuo Wang¹, Zhiwei Yu¹, Rong Jiang¹, Liguo Zhao¹, Yingdong Song^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012701

Abstract Thermo-mechanical fatigue (TMF), as the main failure mode of hot components of an aeroengine, are increasingly investigated recently [1,2]. TMF crack growth is studied in a nickel-based powder metallurgy (PM) superalloy subjected to in-phase (IP) and out-of-phase (OP), as well as isothermal fatigue (IF) at peak temperature. The crack growth rate and path are evaluated for both coarse grain (CG) and fine grain (FG) structure, especially the effects of phase angle and polycrystalline microstructure. The results show that the TMF crack propagation is mainly transgranular in OP condition; while in IP condition, crack propagates intergranularly… More >

Hao Yu^1,*, Mengcheng Huang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011120

Abstract Understanding the competitive adsorption behavior of CO₂ and CH₄ in shale nanopores is crucial for enhancing the recovery of shale gas and sequestration of CO₂, which is determined by both the inherent characteristics of the molecules and external environmental factors such as pore size, temperature, and partial pressures of CO₂ and CH₄. While the competitive adsorption behavior of CO₂/CH₄ has been analyzed by previous studies, a comprehensive understanding from the perspective of molecular kinetic theory and the efficient calculation for competitive adsorption behavior considering various geological situations is still challenging, limited by the huge computation cost of classical… More >

Mohammed A. Mahdi¹, Shahanawaj Ahamad², Sawsan A. Saad³, Alaa Dafhalla³, Alawi Alqushaibi⁴, Rizwan Qureshi^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2351-2373, 2024, DOI:10.32604/cmes.2024.055723 - 31 October 2024

Abstract The segmentation of head and neck (H&N) tumors in dual Positron Emission Tomography/Computed Tomography (PET/CT) imaging is a critical task in medical imaging, providing essential information for diagnosis, treatment planning, and outcome prediction. Motivated by the need for more accurate and robust segmentation methods, this study addresses key research gaps in the application of deep learning techniques to multimodal medical images. Specifically, it investigates the limitations of existing 2D and 3D models in capturing complex tumor structures and proposes an innovative 2.5D UNet Transformer model as a solution. The primary research questions guiding this study… More >

Xiaodong Shi^*, Tingyu Wang, Sui Ai, Jiasi Li

Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2571-2581, 2024, DOI:10.32604/phyton.2024.056606 - 30 October 2024

Abstract Cotton rose (Hibiscus mutabilis) is a well-known ornamental plant that produces large flowers of vibrant colors. However, metabolites in H. mutabilis flowers with vibrant color have not been fully understood. By performing a combined analysis of metabolomics and transcriptomics data, we here explored mechanisms for the production of primary active compounds in this plant. Multivariate statistics unveiled differences in flavonoid metabolism between white and pink flowers, with pink flowers exhibiting a greater flavonoid abundance. The white-to-pink transition of cotton rose flowers may be attributed to pelargonidin-3-O-glucoside formation. On examining the expression of genes related to the structure More > Graphic Abstract

Yusuf Olanrewaju Busari^1,2,*, Issah Sadiq Ibrahim¹, Kabir S. Ajao¹, Norliana Mohd Abbas², James Obafemi Adegbola¹, Hassan Kobe Ibrahim³, Abdallah Reghioua⁴, Yusuf Lanre Shuaib-Babata¹, Rachael Oluwatoyosi Idowu¹

Journal of Polymer Materials, Vol.41, No.3, pp. 117-129, 2024, DOI:10.32604/jpm.2024.055895 - 30 September 2024

Abstract The research paper focuses on manufacturing composite materials from waste polyethylene terephthalate (PET) reinforced with soda-lime glass to provide a lightweight, less brittle, and high rust resistance when exposed to hazardous environment. In developing nations such as Nigeria, there is a significant surge in the volume of bottled water and other packaging materials used in households, leading to a rapid accumulation of biodegradable waste, that presents concerns such as the creation of landfills and health issues. PET are thermoplastic polymer that can be melted and shaped into various objects. This study involves the incorporation of… More >

CHENGLIN QIN^1,2, LINFANG JIN^1,3, JIA LI^1,4, WENZHANG ZHA², HUIMING DING², XIAORONG LIU^1,5, XUN ZHU^1,*

Oncology Research, Vol.32, No.9, pp. 1517-1522, 2024, DOI:10.32604/or.2024.051893 - 23 August 2024

Abstract This article has no abstract. More >

Jia Guo^1,2,4,6, Jin Wang², Ke Yan³, Qiankun Zuo^1,2,4,*, Ruiheng Li^1,2,4, Zhou He^1,2,4, Dong Wang⁵, Yuji Sato⁶

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1203-1233, 2024, DOI:10.32604/cmc.2024.051336 - 18 July 2024

Abstract Complex optimization problems hold broad significance across numerous fields and applications. However, as the dimensionality of such problems increases, issues like the curse of dimensionality and local optima trapping also arise. To address these challenges, this paper proposes a novel Wild Gibbon Optimization Algorithm (WGOA) based on an analysis of wild gibbon population behavior. WGOA comprises two strategies: community search and community competition. The community search strategy facilitates information exchange between two gibbon families, generating multiple candidate solutions to enhance algorithm diversity. Meanwhile, the community competition strategy reselects leaders for the population after each iteration, More >

Song Deng^1,*, Yiming Yuan²

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3679-3697, 2024, DOI:10.32604/cmc.2024.052008 - 20 June 2024

Abstract Malicious attacks against data are unavoidable in the interconnected, open and shared Energy Internet (EI), Intrusion tolerant techniques are critical to the data security of EI. Existing intrusion tolerant techniques suffered from problems such as low adaptability, policy lag, and difficulty in determining the degree of tolerance. To address these issues, we propose a novel adaptive intrusion tolerance model based on game theory that enjoys two-fold ideas: 1) it constructs an improved replica of the intrusion tolerance model of the dynamic equation evolution game to induce incentive weights; and 2) it combines a tournament competition More >

Cheng Yang^1,2, Miaojia Lou^2,*, Xiaoyu Chen^1,2, Zixuan Ren¹

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4107-4126, 2024, DOI:10.32604/cmc.2024.049183 - 20 June 2024

Abstract Chinese shadow puppetry has been recognized as a world intangible cultural heritage. However, it faces substantial challenges in its preservation and advancement due to the intricate and labor-intensive nature of crafting shadow puppets. To ensure the inheritance and development of this cultural heritage, it is imperative to enable traditional art to flourish in the digital era. This paper presents an Interactive Collaborative Creation System for shadow puppets, designed to facilitate the creation of high-quality shadow puppet images with greater ease. The system comprises four key functions: Image contour extraction, intelligent reference recommendation, generation network, and… More >

Huiling Lu^1,*, Tao Zhou^2,3

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4371-4393, 2024, DOI:10.32604/cmc.2024.047827 - 20 June 2024

Abstract The precise detection and segmentation of tumor lesions are very important for lung cancer computer-aided diagnosis. However, in PET/CT (Positron Emission Tomography/Computed Tomography) lung images, the lesion shapes are complex, the edges are blurred, and the sample numbers are unbalanced. To solve these problems, this paper proposes a Multi-branch Cross-scale Interactive Feature fusion Transformer model (MCIF-Transformer Mask RCNN) for PET/CT lung tumor instance segmentation, The main innovative works of this paper are as follows: Firstly, the ResNet-Transformer backbone network is used to extract global feature and local feature in lung images. The pixel dependence relationship… More >