Tianyu Li¹, Dezhi Han¹, Jiatao Li¹, Kuan-Ching Li^2,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4117-4140, 2025, DOI:10.32604/cmc.2025.063630 - 19 May 2025

Abstract As is known, centralized federated learning faces risks of a single point of failure and privacy breaches, and blockchain-based federated learning frameworks can address these challenges to a certain extent in recent works. However, malicious clients may still illegally access the blockchain to upload malicious data or steal on-chain data. In addition, blockchain-based federated training suffers from a heavy storage burden and excessive network communication overhead. To address these issues, we propose an asynchronous, tiered federated learning storage scheme based on blockchain and IPFS. It manages the execution of federated learning tasks through smart contracts… More >

Milinda Priyankara Bandara Gamawelagedara¹, Mian Usman Sattar¹, Raza Hasan^2,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4061-4084, 2025, DOI:10.32604/cmc.2025.062826 - 19 May 2025

Abstract Fuel station drive-offs, wherein the drivers simply drive off without paying, are a major issue in the UK (United Kingdom) due to rising fuel costs and financial hardships. The phenomenon has increased greatly over the last few years, with reports indicating a substantial increase in such events in the major cities. Traditional prevention measures such as Avutec and Driveoffalert rely primarily on expensive infrastructure and blacklisted databases. Such systems typically involve costly camera installation and maintenance and are consequently out of the budget of small fuel stations. These conventional approaches also fall short regarding real-time… More >

Chunming Tang^*, Yu Wang

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5115-5128, 2025, DOI:10.32604/cmc.2025.062328 - 19 May 2025

Abstract Image dehazing aims to generate clear images critical for subsequent visual tasks. CNNs have made significant progress in the field of image dehazing. However, due to the inherent limitations of convolution operations, it is challenging to effectively model global context and long-range spatial dependencies effectively. Although the Transformer can address this issue, it faces the challenge of excessive computational requirements. Therefore, we propose the FS-MSFormer network, an asymmetric encoder-decoder architecture that combines the advantages of CNNs and Transformers to improve dehazing performance. Specifically, the encoding process employs two branches for multi-scale feature extraction. One branch… More >

Anna Chiara Uggenti¹, Giorgio Rech², Raffaella Gerboni^2,*, Gianmario Ledda², Amedeo Aliberti¹, Claudia Vivalda³, Emanuela Bruno², Andrea Carpignano²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.4, pp. 757-782, 2025, DOI:10.32604/fdmp.2025.062347 - 06 May 2025

Abstract The paper presents an innovative approach to studying the reuse of a decommissioned natural gas production platform for the seasonal storage and extraction of a hydrogen-methane (H₂-CH₄) mixture from a depleted reservoir. The reuse plan involves removing outdated equipment from the platform’s decks while retaining essential components such as wellheads and separators. Exploiting a depleted reservoir for the injection of an H₂-CH₄ mixture requires a thorough understanding of its specific characteristics. This paper focuses on the engineering approach adopted in the basic design phase for such a conversion, providing recommendations and HSE guidelines. Given the hazardous… More >

LIWEN FENG^1,2,#,*, YUTING CHEN^3,#, WENYI JIN⁴

Oncology Research, Vol.33, No.5, pp. 1091-1103, 2025, DOI:10.32604/or.2024.054207 - 18 April 2025

Abstract Osteosarcoma (OS) is a prevalent primary bone malignancy with limited treatment options. Therefore, it is imperative to investigate and understand the mechanisms underlying OS pathogenesis. Cancer-associated fibroblasts (CAFs) are markedly abundant in tumor stromal cells and are essentially involved in the modulation of tumor occurrence and development. In recent years, CAFs have become a hotspot as researchers aim to elucidate CAF mechanisms that regulate tumor progression. However, most studies on CAFs are limited to a few common cancers, and their association with OS remains elusive. This review describes the role and current knowledge of CAFs More >

Xiangyang Cao^1,2, Yaojie Zheng^1,2, Hanbin Xiao^1,2,*, Min Xiao^2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 289-334, 2025, DOI:10.32604/cmes.2025.063954 - 11 April 2025

Abstract This study investigates the Maximum Power Point Tracking (MPPT) control method of offshore wind-photovoltaic hybrid power generation system with offshore crane-assisted. A new algorithm of Global Fast Integral Sliding Mode Control (GFISMC) is proposed based on the tip speed ratio method and sliding mode control. The algorithm uses fast integral sliding mode surface and fuzzy fast switching control items to ensure that the offshore wind power generation system can track the maximum power point quickly and with low jitter. An offshore wind power generation system model is presented to verify the algorithm effect. An offshore More >

Chao Luo¹, Zhengsong Xiang^1,2, Yin Zhou^1,*, Dingsong Qin³, Tianlei Cheng⁴, Qizhi Tang¹

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 683-703, 2025, DOI:10.32604/sdhm.2025.061549 - 03 April 2025

Abstract Failure tests were conducted on two concrete-filled steel tubular (CFST) truss arch bridges with a span of approximately 12 m to investigate the influence of initial geometric defects on the in-plane bearing capacity of CFST truss arch bridges. The effects of antisymmetric defect on the ultimate bearing capacity, failure mode, structural response, and steel–concrete confinement effect of CFST truss arch bridges under quarter-point loading were analyzed. On this basis, numerical simulations were conducted to investigate the in-plane bearing capacity of CFST truss arch bridges further under different scenarios. The initial defect form of the arch… More >

RIYAD F. ALZHRANI¹, LAMA BINOBAID², ABDULAZIZ A. ALORAINI¹, MESHAL S. ALSAHLI¹, AHMED H. BAKHEIT³, HANADI H. ASIRI³, SABRY M. ATTIA², ALI ALHOSHANI², GAMALELDIN I. HARISA^1,*

Oncology Research, Vol.33, No.4, pp. 919-935, 2025, DOI:10.32604/or.2024.054537 - 19 March 2025

Abstract Objective: Prostate cancer (PCA) is the second most widespread cancer among men globally, with a rising mortality rate. Enzyme-responsive lipid nanoparticles (ERLNs) are promising vectors for the selective delivery of anticancer agents to tumor cells. The goal of this study is to fabricate ERLNs for dual delivery of gefitinib (GF) and simvastatin (SV) to PCA cells. Methods: ERLNs loaded with GF and SV (ERLNGFSV) were assembled using bottom-up and top-down techniques. Subsequently, these ERLN cargoes were coated with triacylglycerol, and phospholipids and capped with chitosan (CS). The ERLNGFSV, and CS engineered ERLNGFSV (CERLNGFSV) formulations were… More > Graphic Abstract

Sha Chen^1,#, Minkai Cao^1,#, Kerong Liu^2,*, Ying Gu^1,*

BIOCELL, Vol.49, No.2, pp. 181-198, 2025, DOI:10.32604/biocell.2025.058745 - 28 February 2025

Abstract The increasing prevalence of gestational diabetes mellitus (GDM) is associated with an array of pregnancy complications and enduring health challenges in both mothers and their offspring. Studies have indicated that exposure to the intrauterine environment can prompt adaptations in the offspring, thereby programming transgenerational inheritance. Physical activity during pregnancy, as a non-pharmacological intervention, mitigates metabolic risks through epigenetic modifications, mediating placental adaptations, the action of exercise factors, and gut microbiota. Here, we provide a review summarizing how regular exercise can reduce the risk of GDM and positively influence pregnancy outcomes. It also discusses the exercise-induced More >

Karim Amrani^1,*, Eugenia Rossi di Schio^2,*, Mohamed Bouzit³, Abderrahim Mokhefi^1,4, Abdelkader Aris¹, Cherif Belhout³, Paolo Valdiserri²

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 185-206, 2025, DOI:10.32604/fhmt.2025.059833 - 26 February 2025

Abstract The present study focuses on the flow of a yield-stress (Bingham) nanofluid, consisting of suspended Fe₃O₄ nanoparticles, subjected to a magnetic field in a backward-facing step duct (BFS) configuration. The duct is equipped with a cylindrical obstacle, where the lower wall is kept at a constant temperature. The yield-stress nanofluid enters this duct at a cold temperature with fully developed velocity. The aim of the present investigation is to explore the influence of flow velocity (Re = 10 to 200), nanoparticle concentration ( = 0 to 0.1), magnetic field intensity (Ha = 0 to 100), and… More >