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  • Open Access

    ARTICLE

    IoT Task Offloading in Edge Computing Using Non-Cooperative Game Theory for Healthcare Systems

    Dinesh Mavaluru1,*, Chettupally Anil Carie2, Ahmed I. Alutaibi3, Satish Anamalamudi2, Bayapa Reddy Narapureddy4, Murali Krishna Enduri2, Md Ezaz Ahmed1

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1487-1503, 2024, DOI:10.32604/cmes.2023.045277

    Abstract In this paper, we present a comprehensive system model for Industrial Internet of Things (IIoT) networks empowered by Non-Orthogonal Multiple Access (NOMA) and Mobile Edge Computing (MEC) technologies. The network comprises essential components such as base stations, edge servers, and numerous IIoT devices characterized by limited energy and computing capacities. The central challenge addressed is the optimization of resource allocation and task distribution while adhering to stringent queueing delay constraints and minimizing overall energy consumption. The system operates in discrete time slots and employs a quasi-static approach, with a specific focus on the complexities of task partitioning and the management… More >

  • Open Access

    ARTICLE

    Comparative Analysis of ARIMA and LSTM Model-Based Anomaly Detection for Unannotated Structural Health Monitoring Data in an Immersed Tunnel

    Qing Ai1,2, Hao Tian2,3,*, Hui Wang1,*, Qing Lang1, Xingchun Huang1, Xinghong Jiang4, Qiang Jing5

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1797-1827, 2024, DOI:10.32604/cmes.2023.045251

    Abstract Structural Health Monitoring (SHM) systems have become a crucial tool for the operational management of long tunnels. For immersed tunnels exposed to both traffic loads and the effects of the marine environment, efficiently identifying abnormal conditions from the extensive unannotated SHM data presents a significant challenge. This study proposed a model-based approach for anomaly detection and conducted validation and comparative analysis of two distinct temporal predictive models using SHM data from a real immersed tunnel. Firstly, a dynamic predictive model-based anomaly detection method is proposed, which utilizes a rolling time window for modeling to achieve dynamic prediction. Leveraging the assumption… More >

  • Open Access

    ARTICLE

    Natural Convection and Irreversibility of Nanofluid Due to Inclined Magnetohydrodynamics (MHD) Filled in a Cavity with Y-Shape Heated Fin: FEM Computational Configuration

    Afraz Hussain Majeed1, Rashid Mahmood2, Sayed M. Eldin3, Imran Saddique4,5,*, S. Saleem6, Muhammad Jawad7

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1505-1519, 2024, DOI:10.32604/cmes.2023.030255

    Abstract This study explains the entropy process of natural convective heating in the nanofluid-saturated cavity in a heated fin and magnetic field. The temperature is constant on the Y-shaped fin, insulating the top wall while the remaining walls remain cold. All walls are subject to impermeability and non-slip conditions. The mathematical modeling of the problem is demonstrated by the continuity, momentum, and energy equations incorporating the inclined magnetic field. For elucidating the flow characteristics Finite Element Method (FEM) is implemented using stable FE pair. A hybrid fine mesh is used for discretizing the domain. Velocity and thermal plots concerning parameters are… More >

  • Open Access

    ARTICLE

    Letter Recognition Reinvented: A Dual Approach with MLP Neural Network and Anomaly Detection

    Nesreen M. Alharbi*, Ahmed Hamza Osman, Arwa A. Mashat, Hasan J. Alyamani

    Computer Systems Science and Engineering, Vol.48, No.1, pp. 175-198, 2024, DOI:10.32604/csse.2023.041044

    Abstract Recent years have witnessed significant advancements in the field of character recognition, thanks to the revolutionary introduction of machine learning techniques. Among various types of character recognition, offline Handwritten Character Recognition (HCR) is comparatively more challenging as it lacks temporal information, such as stroke count and direction, ink pressure, and unexpected handwriting variability. These issues contribute to a poor level of precision, which calls for the adoption of anomaly detection techniques to enhance Optical Character Recognition (OCR) schemes. Previous studies have not researched unsupervised anomaly detection using MLP for handwriting recognition. Therefore, this study proposes a novel approach for enhanced… More >

  • Open Access

    ARTICLE

    Folic Acid-Functionalized Nanocrystalline Cellulose as a Renewable and Biocompatible Nanomaterial for Cancer-Targeting Nanoparticles

    Thean Heng Tan1, Najihah Mohd Hashim2, Wageeh Abdulhadi Yehya Dabdawb1, Mochamad Zakki Fahmi3,*, Hwei Voon Lee1,*

    Journal of Renewable Materials, Vol.12, No.1, pp. 29-43, 2024, DOI:10.32604/jrm.2023.043449

    Abstract The study focuses on the development of biocompatible and stable FA-functionalized nanocrystalline cellulose (NCC) as a potential drug delivery system for targeting folate receptor-positive cancer cells. The FA-functionalized NCCs were synthesized through a series of chemical reactions, resulting in nanoparticles with favorable properties for biomedical applications. The microstructural analysis revealed that the functionalized NCCs maintained their rod-shaped morphology and displayed hydrodynamic diameters suitable for evading the mononuclear phagocytic system while being large enough to target tumor tissues. Importantly, these nanoparticles possessed a negative surface charge, enhancing their stability and repelling potential aggregation. The binding specificity of FA-functionalized NCCs to folate… More > Graphic Abstract

    Folic Acid-Functionalized Nanocrystalline Cellulose as a Renewable and Biocompatible Nanomaterial for Cancer-Targeting Nanoparticles

  • Open Access

    CASE REPORT

    Pulmonary Hypertension Crisis in Patient with Tetralogy of Fallot and Mixed Total Anomalous Pulmonary Vein Connection after the Primary Correction: A Rare Case Report

    Dian Kesumarini1,2, Yunita Widyastuti3, Cindy Elfira Boom1, Lucia Kris Dinarti4,*

    Congenital Heart Disease, Vol.18, No.6, pp. 671-678, 2023, DOI:10.32604/chd.2023.044746

    Abstract Tetralogy of Fallot (TOF) with total anomalous pulmonary vein connections (TAPVC) is a rare type of complex congenital heart disease among all TOF cases. Co-presentation of major aortopulmonary collateral arteries (MAPCAs) compensates for the lack of central pulmonary blood flow and decreases the severity of right-to-left shunting in TOF. We present a case of a 2-year-old child with complex diagnoses of TOF, TAPVC, a large secundum atrial septal defect (ASD), and intraoperatively identified MAPCAs. She underwent surgery to repair the TAPVC, valve-sparing reconstruction of the right ventricular outflow tract, interventricular defect closure, and the creation of patent foramen ovale (PFO).… More >

  • Open Access

    ARTICLE

    Low-molecular-weight fucoidan inhibits the proliferation of melanoma via Bcl-2 phosphorylation and PTEN/AKT pathway

    MINJI PARK1, CHULHWAN BANG2, WON-SOO YUN3, YUN-MI JEONG3,*

    Oncology Research, Vol.32, No.2, pp. 273-282, 2024, DOI:10.32604/or.2023.044362

    Abstract Fucoidan, a sulfate polysaccharide obtained from brown seaweed, has various bioactive properties, including anti-inflammatory, anti-cancer, anti-viral, anti-oxidant, anti-coagulant, anti-thrombotic, anti-angiogenic, and anti-Helicobacter pylori properties. However, the effects of low-molecular-weight fucoidan (LMW-F) on melanoma cell lines and three dimensional (3D) cell culture models are not well understood. This study aimed to investigate the effects of LMW-F on A375 human melanoma cells and cryopreserved biospecimens derived from patients with advanced melanoma. Ultrasonic wave was used to fragment fucoidan derived from Fucus vesiculosus into smaller LMW-F. MTT and live/dead assays showed that LMW-F inhibited cell proliferation in both A375 cells and patient-derived melanoma… More >

  • Open Access

    ARTICLE

    Identification and validation of novel prognostic fatty acid metabolic gene signatures in colon adenocarcinoma through systematic approaches

    HENG ZHANG1,#, WENJING CHENG2,#, HAIBO ZHAO2, WEIDONG CHEN2, QIUJIE ZHANG2,*, QING-QING YU2,*

    Oncology Research, Vol.32, No.2, pp. 297-308, 2024, DOI:10.32604/or.2023.043138

    Abstract Background: Colorectal cancer (CRC) belongs to the class of significantly malignant tumors found in humans. Recently, dysregulated fatty acid metabolism (FAM) has been a topic of attention due to its modulation in cancer, specifically CRC. However, the regulatory FAM pathways in CRC require comprehensive elucidation. Methods: The clinical and gene expression data of 175 fatty acid metabolic genes (FAMGs) linked with colon adenocarcinoma (COAD) and normal cornerstone genes were gathered through The Cancer Genome Atlas (TCGA)-COAD corroborating with the Molecular Signature Database v7.2 (MSigDB). Initially, crucial prognostic genes were selected by uni- and multi-variate Cox proportional regression analyses; then, depending… More >

  • Open Access

    ARTICLE

    Absent in melanoma 2 attenuates proliferation and migration and promotes apoptosis of human colorectal cancer cells by activating P38MAPK signaling pathway

    ZHI ZHANG1,#, XIAOSONG LI1,2,#, YING ZHANG1,2,#, HAO ZHU1,2, ZHENGUO QIAO3, YANG LU4, XIUWEI MI4, HUIHUA CAO5, GENHAI SHEN1,*, SONGBING HE4,*

    Oncology Research, Vol.32, No.2, pp. 353-360, 2024, DOI:10.32604/or.2023.042986

    Abstract Colorectal cancer (CRC) stands among the top prevalent cancers worldwide and holds a prominent position as a major contributor to cancer-related mortality globally. Absent in melanoma 2 (AIM2), a constituent of the interferon-inducible hematopoietic interferon-inducible nuclear antigens with 200 amino acid repeats protein family, contributes to both cancer progression and inflammasome activation. Despite this understanding, the precise biological functions and molecular mechanisms governed by AIM2 in CRC remain elusive. Consequently, this study endeavors to assess AIM2’s expression levels, explore its potential antitumor effects, elucidate associated cancer-related processes, and decipher the underlying signaling pathways in CRC. Our findings showed a reduced… More > Graphic Abstract

    Absent in melanoma 2 attenuates proliferation and migration and promotes apoptosis of human colorectal cancer cells by activating P38MAPK signaling pathway

  • Open Access

    ARTICLE

    Extensive prediction of drug response in mutation-subtype-specific LUAD with machine learning approach

    KEGANG JIA1,#, YAWEI WANG2,#, QI CAO3,*, YOUYU WANG1,*

    Oncology Research, Vol.32, No.2, pp. 409-419, 2024, DOI:10.32604/or.2023.042863

    Abstract Background: Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide. Therapeutic failure in lung cancer (LUAD) is heavily influenced by drug resistance. This challenge stems from the diverse cell populations within the tumor, each having unique genetic, epigenetic, and phenotypic profiles. Such variations lead to varied therapeutic responses, thereby contributing to tumor relapse and disease progression. Methods: The Genomics of Drug Sensitivity in Cancer (GDSC) database was used in this investigation to obtain the mRNA expression dataset, genomic mutation profile, and drug sensitivity information of NSCLS. Machine Learning (ML) methods, including Random Forest… More >

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