Shenjian Xiao¹, Xiaoli Qin¹, Yanzhao Tian^1,*, Zhongkai Dang²

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2351-2373, 2025, DOI:10.32604/cmc.2025.062324 - 16 April 2025

Abstract The advent of the digital age has consistently provided impetus for facilitating global trade, as evidenced by the numerous customs clearance documents and participants involved in the international trade process, including enterprises, agents, and government departments. However, the urgent issue that requires immediate attention is how to achieve secure and efficient cross-border data sharing among these government departments and enterprises in complex trade processes. In addressing this need, this paper proposes a data exchange architecture employing Multi-Authority Attribute-Based Encryption (MA-ABE) in combination with blockchain technology. This scheme supports proxy decryption, attribute revocation, and policy update,… More >

Ilesanmi Afolabi Daniyan^1,*, Rumbidzai Muvunzi², Festus Fameso³, Julius Ndambuki³, Williams Kupolati³, Jacques Snyman³

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1623-1648, 2025, DOI:10.32604/cmc.2025.062092 - 16 April 2025

Abstract This study evaluates the Fuzzy Analytical Hierarchy Process (FAHP) as a multi-criteria decision (MCD) support tool for selecting appropriate additive manufacturing (AM) techniques that align with cleaner production and environmental sustainability. The FAHP model was validated using an example of the production of aircraft components (specifically fuselage) employing AM technologies such as Wire Arc Additive Manufacturing (WAAM), laser powder bed fusion (L-PBF), Binder Jetting (BJ), Selective Laser Sintering (SLS), and Laser Metal Deposition (LMD). The selection criteria prioritized eco-friendly manufacturing considerations, including the quality and properties of the final product (e.g., surface finish, high strength,… More >

Jiahao Wu^1,2, Jinzhong Xu¹, Xiaoming Liu^1,*, Guan Yang^1,3, Jie Liu⁴

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2809-2828, 2025, DOI:10.32604/cmc.2025.061359 - 16 April 2025

Abstract Large language models cross-domain named entity recognition task in the face of the scarcity of large language labeled data in a specific domain, due to the entity bias arising from the variation of entity information between different domains, which makes large language models prone to spurious correlations problems when dealing with specific domains and entities. In order to solve this problem, this paper proposes a cross-domain named entity recognition method based on causal graph structure enhancement, which captures the cross-domain invariant causal structural representations between feature representations of text sequences and annotation sequences by establishing… More >

Kamil Yasen^1,#, Heyan Jin^2,#, Sijie Yang², Li Zhan², Xuyang Zhang², Ke Qin^1,3, Ye Li^2,3,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3277-3301, 2025, DOI:10.32604/cmc.2025.061037 - 16 April 2025

Abstract Research on mass gathering events is critical for ensuring public security and maintaining social order. However, most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting, and there is a relative lack of research on mass gathering behaviors. We believe real-time detection and monitoring of mass gathering behaviors are essential for migrating potential security risks and emergencies. Therefore, it is imperative to develop a method capable of accurately identifying and localizing mass gatherings before disasters occur, enabling prompt and effective responses. To address this problem, we propose… More >

Jianxiang Cao¹, Jinyang Wu¹, Wenqian Shang^1,*, Chunhua Wang¹, Kang Song¹, Tong Yi^2,*, Jiajun Cai¹, Haibin Zhu³

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2659-2675, 2025, DOI:10.32604/cmc.2025.060025 - 16 April 2025

Abstract With the rapid growth of social media, the spread of fake news has become a growing problem, misleading the public and causing significant harm. As social media content is often composed of both images and text, the use of multimodal approaches for fake news detection has gained significant attention. To solve the problems existing in previous multi-modal fake news detection algorithms, such as insufficient feature extraction and insufficient use of semantic relations between modes, this paper proposes the MFFFND-Co (Multimodal Feature Fusion Fake News Detection with Co-Attention Block) model. First, the model deeply explores the More >

Yaojin Fan, Huaqing Dong^*, Zixuan Zong, Tingting Long, Qianglin Huang, Guoqiang Huang

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 731-769, 2025, DOI:10.32604/sdhm.2025.061056 - 03 April 2025

Abstract This study presents a comprehensive investigation of residual strength in corroded pipelines within the Yichang-Qianjiang section of the Sichuan-East Gas Pipeline, integrating advanced numerical simulation with experimental validation. The research methodology incorporates three distinct parameter grouping approaches: a random group based on statistical analysis of 389 actual corrosion defects detected during 2023 MFL inspection, a deviation group representing historically documented failure scenarios, and a structural group examining systematic parameter variations. Using ABAQUS finite element software, we developed a dynamic implicit analysis model incorporating geometric nonlinearity and validated it through 1:12.7 scaled model testing, achieving prediction… More >

Jie Zou^1,2, Ping Wu^2,*, Jianwei Chen³, Weijie Fan², Yidong Xu²

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 441-471, 2025, DOI:10.32604/sdhm.2024.058864 - 03 April 2025

Abstract As an essential part of the urban infrastructure, underground utility tunnels have a long service life, complex structural performance evolution and dynamic changes both inside and outside the tunnel. These combined factors result in a wide variety of disaster risks during the operation and maintenance phase, which make risk management and control particularly challenging. This work first reviews three common representative disaster factors during the operation and maintenance period: settlement, earthquakes, and explosions. It summarizes the causes of disasters, key technologies, and research methods. Then, it delves into the research on the intelligent operation and More >

Zhe Gong¹, Ge Yan², Jie Ma¹, Chang-Lin Yan², Fu-Kang Shen¹, Hu Li³, Hua-Ping Wang^1,*

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 473-498, 2025, DOI:10.32604/sdhm.2024.057916 - 03 April 2025

Abstract Vacuum pressure vessels are one of the critical components in the aerospace field, and understanding the mechanical behavior feature is particularly important for safe operation. Therefore, it is meaningful to obtain the stress and strain distributions in the key positions of the vacuum tank, which can contribute to the safe performance assessment, operation efficiency, and fault analysis. Hence, this paper provides the distribution characteristics and variation rules of stress and tank strain of vacuum under different internal and external pressures through the elastic theoretical analysis and iteration method. The quasi-distributed fiber Bragg grating (FBG) sensors… More >

Alex Kibet^*, Gilbert Langat

Journal of Intelligent Medicine and Healthcare, Vol.3, pp. 1-14, 2025, DOI:10.32604/jimh.2022.062824 - 04 April 2025

Abstract Multiple Sclerosis (MS) is a disease that disrupts the flow of information within the brain. It affects approximately 1 million people in the US. And remains incurable. MS treatments can cause side effects and impact the quality of life and even survival rates. Based on existing research studies, we investigate the risks and benefits of three treatment options based on methylprednisolone (a corticosteroid hormone medication) prescribed in (1) high-dose, (2) low-dose, or (3) no treatment. The study currently prescribes one treatment to all patients as it has been proven to be the most effective on More >

Meng Wang¹, Onkei Lei^1,2, Frankie U Kei Wong¹, Water Soi Po Wong¹, Walter Heung Chin Hui¹, Gasper Chi Hong Leong¹, Wenze Fang^1,3, Zhaowei Kong^1,*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 363-378, 2025, DOI:10.32604/ijmhp.2025.060875 - 31 March 2025

Abstract Background: This study evaluated physical fitness and mental health in young and elderly women 3 months after mild COVID-19 infection, and examined the impact of infection and age on long COVID occurrence and trajectory. Methods: There were 213 eligible female volunteers (107 young, 106 elderly) recruited approximately three months after the significant outbreak of COVID-19 in China. Participants completed a fitness test and mental health assessment using the Post-Traumatic Stress Disorder Self-Assessment Scale (PTSD) and the Pittsburgh Sleep Quality Inventory (PSQI). Results: Despite no significant difference in physical fitness, infected young and elderly females experienced poorer… More >