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  • Open Access

    ARTICLE

    A Study on the Inter-Pretability of Network Attack Prediction Models Based on Light Gradient Boosting Machine (LGBM) and SHapley Additive exPlanations (SHAP)

    Shuqin Zhang1, Zihao Wang1,*, Xinyu Su2

    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.062080

    Abstract The methods of network attacks have become increasingly sophisticated, rendering traditional cybersecurity defense mechanisms insufficient to address novel and complex threats effectively. In recent years, artificial intelligence has achieved significant progress in the field of network security. However, many challenges and issues remain, particularly regarding the interpretability of deep learning and ensemble learning algorithms. To address the challenge of enhancing the interpretability of network attack prediction models, this paper proposes a method that combines Light Gradient Boosting Machine (LGBM) and SHapley Additive exPlanations (SHAP). LGBM is employed to model anomalous fluctuations in various network indicators,… More >

  • Open Access

    ARTICLE

    A Holistic Anti-Counterfeiting Platform Using NFC and Blockchain Technologies

    Rajendren Subramaniam1, Saaidal Razalli Azzuhri2,*, Teh Ying Wah1, Atif Mahmood3, Vimala Balakrishnan1

    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.061560

    Abstract Counterfeiting is still a pervasive global issue, affecting multiple industries and hindering industrial innovation, while causing substantial financial losses, reputational damage, and risks to consumer safety. From luxury goods and pharmaceuticals to electronics and automotive parts, counterfeit products infiltrate supply chains, leading to a loss of revenue for legitimate businesses and undermining consumer trust. Traditional anti-counterfeiting measures, such as holograms, serial numbers, and barcodes, have proven to be insufficient as counterfeiters continuously develop more sophisticated replication techniques. As a result, there is a growing need for more advanced, secure, and reliable methods to prevent counterfeiting.… More >

  • Open Access

    ARTICLE

    A Q-Learning-Assisted Co-Evolutionary Algorithm for Distributed Assembly Flexible Job Shop Scheduling Problems

    Song Gao, Shixin Liu*

    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.058334

    Abstract With the development of economic globalization, distributed manufacturing is becoming more and more prevalent. Recently, integrated scheduling of distributed production and assembly has captured much concern. This research studies a distributed flexible job shop scheduling problem with assembly operations. Firstly, a mixed integer programming model is formulated to minimize the maximum completion time. Secondly, a Q-learning-assisted co-evolutionary algorithm is presented to solve the model: (1) Multiple populations are developed to seek required decisions simultaneously; (2) An encoding and decoding method based on problem features is applied to represent individuals; (3) A hybrid approach of heuristic… More >

  • Open Access

    REVIEW

    Eosinophils in Rheumatoid Arthritis: A Multifaceted Role in the Pathogenesis of the Disease

    Alexander Blagov1,*, Michael Bukrinsky2, Aleksandra Utkina3, Gulalek Babayeva4, Vasily Sukhorukov1, Alexander Orekhov5

    BIOCELL, DOI:10.32604/biocell.2025.062821

    Abstract Eosinophils are multifunctional granulocytes that contribute to the initiation and modulation of inflammation. Accumulating evidence suggests that eosinophils are adaptable leukocytes that orchestrate the resolution of inflammatory responses. The most prevalent chronic inflammatory illness, rheumatoid arthritis (RA), is typified by persistent synovitis that makes it hard for the disease to go away on its own. Interestingly, a unique subset of eosinophils known as regulatory eosinophils has been found in RA patients’ synovium, especially while the disease is in remission. Pro-resolving signatures of regulatory eosinophils in the synovium are distinct from those of their lung counterparts. More >

  • Open Access

    REVIEW

    Exploring Neutrophil Extracellular Traps in Cardiovascular Pathologies: The Impact of Lipid Profiles, PAD4, and Radiation

    SIARHEI A. DABRAVOLSKI1,*, MICHAEL I. BUKRINSKY2, ALEKSANDRA S. UTKINA3, ALESSIO L. RAVANI4, VASILY N. SUKHORUKOV5,6, ALEXANDER N. OREKHOV7

    BIOCELL, DOI:10.32604/biocell.2025.062789

    Abstract Neutrophil extracellular traps (NET) have emerged as critical players in the pathogenesis of atherosclerosis and other cardiovascular diseases (CVD). These web-like structures, composed of DNA, histones, and granule proteins released by neutrophils, contribute significantly to both inflammation and thrombosis. This manuscript offers a comprehensive review of the recent literature on the involvement of NET in atherosclerosis, highlighting their interactions with various pathophysiological processes and their potential as biomarkers for CVD. Notably, the impact of radiation on NET formation is explored, emphasising how oxidative stress and inflammatory responses drive NET release, contributing to plaque instability. The… More >

  • Open Access

    ARTICLE

    SLFN11 Deficiency-Induced Gemcitabine Resistance Is Overcome by Agents Targeting the DNA Damage Response in Pancreatic Cancer Cells

    Jae Hyeong Kim1, Yuna Youn1, Jin-Hyeok Hwang1,2,*

    BIOCELL, DOI:10.32604/biocell.2025.062144

    Abstract Objectives: SLFN11 (Schlafen-11) enhances sensitivity to DNA-damaging agents (DDAs) and DNA damage response (DDR) inhibitors in various cancer types. However, its function in pancreatic cancer (PC) remains largely unknown. This research aims to investigate the expression patterns of SLFN11 and other SLFN family members in PC and their correlation with drug sensitivity. Methods: SLFN11 expression and genetic alterations were analyzed using publicly available datasets (TCGA and GTEx). Functional studies, including cell cycle, apoptosis assays, and proliferation assays, were performed in SLFN11-knockdown and SLFN11-knockout (KO) PC cells. The relationship between SLFN11 expression and drug responsiveness was assessed via the CellMiner… More >

  • Open Access

    ARTICLE

    Concurrent Design on Three-Legged Jacket Structure and Transition Piece of Offshore Wind Turbine by Exploiting Topology Optimization

    Yiming Zhou1, Jinhua Zhang2,3, Kai Long2,*, Ayesha Saeed2, Yutang Chen2, Rongrong Geng2, Tao Tao4, Xiaohui Guo1

    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.063034

    Abstract The jacket structure and transition piece comprise the supporting structure of a bottom-fixed offshore wind turbine (OWT) connected to the steel tower, which determines the overall structural dynamic performance of the entire OWT. Ideally, optimal performance can be realized by effectively coordinating two components, notwithstanding their separate design processes. In pursuit of this objective, this paper proposes a concurrent design methodology for the jacket structure and transition piece by exploiting topology optimization (TO). The TO for a three-legged jacket foundation is formulated by minimizing static compliance. In contrast to conventional TO, two separated volume fractions… More >

  • Open Access

    REVIEW

    Sustainable Biocomposites from Renewable Resources in West Africa: A Review

    Souha Mansour1,2,*, Amandine Viretto1,2, Marie-France Thevenon1,2,*, Loïc Brancheriau1,2

    Journal of Renewable Materials, DOI:10.32604/jrm.2025.02024-0078

    Abstract The use of agricultural residues in biocomposite production has gained increasing attention, driven by several benefits. Converting agricultural by-products into bio-based materials within a circular economy represents a sustainable strategy to mitigate lignocellulosic waste, reduce reliance on fossil resources, and lower environmental pollution. This approach also creates economic opportunities for rural African communities by generating diverse income sources for workers in collection, processing, and manufacturing. As a result, the integration of agricultural residues into biocomposites production not only addresses environmental concerns but also fosters economic growth and supports rural development. In this review, five biomasses… More >

  • Open Access

    ARTICLE

    Enhancement of Thermal Performance of Counter Flow Double Pipe Heat Exchanger by Inserting Wavy-Edged Tape

    Zainab Mahdi Saleh1,*, Riyadh S. Al-Turaihi1, Zena Khalefa Kadhim2

    Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2025.063404

    Abstract This study involved numerical simulations of a double tube heat exchanger using the ANSYS FLUENT program version 22. The study aims to examine methods for minimizing pressure loss and consequently enhancing the thermal performance index (TPI) of a heat exchanger fitted with wavy edge tape that is a heat recovery system (the hot air in simulation instead of t heat from the exhaust gases of the brick factory furnaces and return it to warm the heavy fuel oil by substituting the electrical heater with a heat exchanger to recuperate waste heat from the flue gases,… More >

  • Open Access

    ARTICLE

    Artificial Neural Networks for Optimizing Alumina Al2O3 Particle and Droplet Behavior in 12kK Ar-H2 Atmospheric Plasma Spraying

    Ridha Djebali1,*, Bernard Pateyron2, Mokhtar Ferhi1, Mohamed Ouerhani3, Karim Khemiri1, Montassar Najari1, M. Ammar Abbassi4, Chohdi Amri5, Ridha Ennetta6, Zied Driss7

    Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2025.063375

    Abstract This paper investigates the application of Direct Current Atmospheric Plasma Spraying (DC-APS) as a versatile thermal spray technique for the application of coatings with tailored properties to various substrates. The process uses a high-speed, high-temperature plasma jet to melt and propel the feedstock powder particles, making it particularly useful for improving the performance and durability of components in renewable energy systems such as solar cells, wind turbines, and fuel cells. The integration of nanostructured alumina (Al2O3) thin films into multilayer coatings is considered a promising advancement that improves mechanical strength, thermal stability, and environmental resistance. The More >

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