Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1,825)
  • Open Access

    REVIEW

    Computing Challenges of UAV Networks: A Comprehensive Survey

    Altaf Hussain1, Shuaiyong Li2, Tariq Hussain3, Xianxuan Lin4,*, Farman Ali5,*, Ahmad Ali AlZubi6

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 1999-2051, 2024, DOI:10.32604/cmc.2024.056183 - 18 November 2024

    Abstract Devices and networks constantly upgrade, leading to rapid technological evolution. Three-dimensional (3D) point cloud transmission plays a crucial role in aerial computing terminology, facilitating information exchange. Various network types, including sensor networks and 5G mobile networks, support this transmission. Notably, Flying Ad hoc Networks (FANETs) utilize Unmanned Aerial Vehicles (UAVs) as nodes, operating in a 3D environment with Six Degrees of Freedom (6DoF). This study comprehensively surveys UAV networks, focusing on models for Light Detection and Ranging (LiDAR) 3D point cloud compression/transmission. Key topics covered include autonomous navigation, challenges in video streaming infrastructure, motivations for More >

  • Open Access

    ARTICLE

    An Enhanced Integrated Method for Healthcare Data Classification with Incompleteness

    Sonia Goel1,#, Meena Tushir1, Jyoti Arora2, Tripti Sharma2, Deepali Gupta3, Ali Nauman4,#, Ghulam Muhammad5,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3125-3145, 2024, DOI:10.32604/cmc.2024.054476 - 18 November 2024

    Abstract In numerous real-world healthcare applications, handling incomplete medical data poses significant challenges for missing value imputation and subsequent clustering or classification tasks. Traditional approaches often rely on statistical methods for imputation, which may yield suboptimal results and be computationally intensive. This paper aims to integrate imputation and clustering techniques to enhance the classification of incomplete medical data with improved accuracy. Conventional classification methods are ill-suited for incomplete medical data. To enhance efficiency without compromising accuracy, this paper introduces a novel approach that combines imputation and clustering for the classification of incomplete data. Initially, the linear More >

  • Open Access

    ARTICLE

    Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer: FCGR3A as key gene

    ZHEN WANG1, JUN FU1, SAISAI ZHU1, HAODONG TANG2, KUI SHI1, JIHUA YANG3, MENG WANG3, MENGGE WU1, DUNFENG QI1,*

    Oncology Research, Vol.32, No.12, pp. 1851-1866, 2024, DOI:10.32604/or.2024.055286 - 13 November 2024

    Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) has a rich and complex tumor immune microenvironment (TIME). M2 macrophages are among the most extensively infiltrated immune cells in the TIME and are necessary for the growth and migration of cancers. However, the mechanisms and targets mediating M2 macrophage infiltration in pancreatic cancer remain elusive. Methods: The M2 macrophage infiltration score of patients was assessed using the xCell algorithm. Using weighted gene co-expression network analysis (WGCNA), module genes associated with M2 macrophages were identified, and a predictive model was designed. The variations in immunological cell patterns, cancer mutations, and… More > Graphic Abstract

    Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer: <i>FCGR3A</i> as key gene

  • Open Access

    ARTICLE

    Liver-directed therapies for fibrolamellar carcinoma: A single-center experience

    SAM SON1, AKSHAAR BRAHMBHATT1, KEN ZHAO1, BRETT MARINELLI1, JAMES HARDING2, WILLIAM JARNAGIN3, GHASSAN K. ABOU-ALFA2, HOOMAN YARMOHAMMADI1,*

    Oncology Research, Vol.32, No.12, pp. 1831-1836, 2024, DOI:10.32604/or.2024.052985 - 13 November 2024

    Abstract Background: This article aims to present the single-institution outcomes of patients with Fibrolamellar Carcinoma (FLC) treated with liver-directed therapies (LDT). Methods: In this single-center retrospective study, all patients diagnosed with FLC who underwent LDT were identified. Between July 2012 and July 2023, six patients were identified. One patient was excluded due to bleeding. Demographic and clinical parameters were recorded. Complications within 30 days of the LDT were evaluated. Radiological treatment responses at 1, 6, and 12 months were assessed per mRECIST. Results: A total of five patients, which included three females and two males, were reviewed.… More >

  • Open Access

    ARTICLE

    CES1 is associated with cisplatin resistance and poor prognosis of head and neck squamous cell carcinoma

    CHUAN JIANG1,2, CHUNLEI LIU1,3, XI YAO1,3, JINGYA SU1,2, WEI LU1,3, ZHENGBO WEI3,*, YING XIE1,2,*

    Oncology Research, Vol.32, No.12, pp. 1935-1948, 2024, DOI:10.32604/or.2024.052244 - 13 November 2024

    Abstract Background: Head and neck squamous cell carcinoma (HNSCC) is a prevalent form of cancer globally, with chemoresistance posing a major challenge in treatment outcomes. The efficacy of the commonly used chemotherapeutic agent, cisplatin, is diminished in patients with poor prognoses. Methods: Various bioinformatics databases were utilized to examine Carboxylesterase 1 (CES1) gene expression, clinicopathologic features, patient survival analysis, and gene function. An organoid model of HNSCC was established, along with the induction of drug-resistant HNSCC in the organoid model. CES1 expression was assessed using qRT-PCR and Western Blot, and differential markers were identified through transcriptome… More >

  • Open Access

    PROCEEDINGS

    Towards High-Fidelity and Efficient Computation for Diagnosis and Treatment of Cardiovascular Disease

    Lei Wang1,*, Blanca Rodriguez2, Xiaoyu Luo3, Charles Augarde4

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.013350

    Abstract Cardiovascular disease is the leading cause of death worldwide. Disease-specific software, like FFRct from HeartFlow, and high-fidelity computational models within a general-purpose software, like Living Heart Project within Abaqus, are essential to revolutionise diagnosis and treatment of cardiovascular disease for clinicians and design of medical devices for industries. This talk presents our past researches on computational modelling of tear propagation in the aortic dissection [1-2] and of electromechanical coupling in the human heart with the finite element method [3], and our current exploration on high-fidelity and efficient computation and software development for diagnosis and treatment More >

  • Open Access

    REVIEW

    The roles and mechanisms of miRNA in HBV-HCC carcinogenesis: Why no therapeutic agents after 30 years?

    KURT SARTORIUS1,2,3,*, BENN SARTORIUS4, CHERIE WINKLER5, ANIL CHUTURGOON2, ANNA KRAMVIS1, PING AN5, WEIGANG ZHANG6, YUNJIE LU3,6,7,*

    BIOCELL, Vol.48, No.11, pp. 1543-1567, 2024, DOI:10.32604/biocell.2024.055505 - 07 November 2024

    Abstract Hepatitis B-associated hepatocellular carcinoma (HBV-HCC) remains an intractable high-mortality solid tumor cancer that accounted for 42% of global HCC cases in 2019. Despite some developments in systemic therapy, only a small subset of late-stage HCC patients responds positively to recently developed therapeutic innovations. MicroRNAs (miRNAs) act as an ancillary epigenetic system that can regulate genome expression in all cancer pathways including HCC. The molecular mechanisms of miRNA regulation in cancer pathogenesis offered researchers a new approach that was widely hoped would translate into miRNA-based drugs and diagnostics. Thirty years on, miRNA-based diagnostic and therapeutic agents… More >

  • Open Access

    ARTICLE

    MPPa-PDT induced apoptosis and autophagy through JNK and p38 MAPK signaling pathways in A549 cells

    PINGHUA TU, SHANSHAN WANG, KELAN DENG, XINJUN LI, ZHANLING WU*

    BIOCELL, Vol.48, No.11, pp. 1603-1612, 2024, DOI:10.32604/biocell.2024.054364 - 07 November 2024

    Abstract Objectives: The antitumor effects of pyropheophorbide-α methyl ester-mediated photodynamic therapy (MPPa-PDT) were observed in several cancers. The objective of this investigation was to examine the antineoplastic efficacy of MPPa-PDT acting on lung carcinoma A549 cells and further elaborate mechanisms. Methods: The viability of A549 cells was examined with cell counting kit-8 after MPPa-PDT disposal. Hoechst 33342 staining, monodansylcadaverine (MDC) staining, and transmission electron microscopy were employed to observe apoptotic bodies and autophagic vesicles. Flow cytometry with Annexin V/propidium iodide (PI) labeling objectively assessed cell death. The expression of associated proteins, including Caspase-3, Beclin-1, LC-3II, and More > Graphic Abstract

    MPPa-PDT induced apoptosis and autophagy through JNK and p38 MAPK signaling pathways in A549 cells

  • Open Access

    PROCEEDINGS

    Characterization and Numerical Simulation of Delamination Propagation Behavior in Carbon Fiber Reinforced Composite Laminates

    Yu Gong1,*, Jianyu Zhang1, Libin Zhao2, Ning Hu2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011451

    Abstract Advanced carbon fiber reinforced composite materials are increasingly being used in aerospace and other fields. Composite laminate structure is one of the commonly used configurations, but due to weak interlayer performance, interlayer delamination is prone to occur [1]. The occurrence and growth of delamination will seriously affect the overall integrity and safety of composite structures, making it a focus of attention in the design of laminated structures. Accurately characterizing the delamination mechanical properties of composite laminates and simulating delamination propagation behavior is the basis for damage tolerance design and analysis of composite structures with delamination… More >

  • Open Access

    PROCEEDINGS

    Microcarrier Systems for Cell Co-Culture Reveal Cell-Cell Interactions

    Zhanwu Hou1, Linfeng Xu2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-0, 2024, DOI:10.32604/icces.2024.012892

    Abstract The cell-cell interaction between immune cells and tumor cells in the tumor microenvironment plays an important role in the genesis and development of tumors. However, due to the lack of methods to systematically identify the interaction between the two, the specific molecular mechanisms involved are not well understood. The microfluidic platform provides a high-throughput and precise method for studying cell interactions in microreactive systems. However, the traditional platform for studying cell interactions is the closed droplet system, which is easy to cause the consumption of nutrients and the accumulation of wastes, thus interfering with cell… More >

Displaying 1-10 on page 1 of 1825. Per Page