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  • Open Access

    ARTICLE

    Film Flow of Nano-Micropolar Fluid with Dissipation Effect

    Abuzar Abid Siddiqui1, Mustafa Turkyilmazoglu2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2487-2512, 2024, DOI:10.32604/cmes.2024.050525

    Abstract The physical problem of the thin film flow of a micropolar fluid over a dynamic and inclined substrate under the influence of gravitational and thermal forces in the presence of nanoparticles is formulated. Five different types of nanoparticle samples are accounted for in this current study, namely gold Au, silver Ag, molybdenum disulfide MoS2, aluminum oxide Al2O3, and silicon dioxide SiO2. Blood, a micropolar fluid, serves as the common base fluid. An exact closed-form solution for this problem is derived for the first time in the literature. The results are particularly validated against those for the Newtonian fluid… More >

  • Open Access

    ARTICLE

    BDPartNet: Feature Decoupling and Reconstruction Fusion Network for Infrared and Visible Image

    Xuejie Wang1, Jianxun Zhang1,*, Ye Tao2, Xiaoli Yuan1, Yifan Guo1

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4621-4639, 2024, DOI:10.32604/cmc.2024.051556

    Abstract While single-modal visible light images or infrared images provide limited information, infrared light captures significant thermal radiation data, whereas visible light excels in presenting detailed texture information. Combining images obtained from both modalities allows for leveraging their respective strengths and mitigating individual limitations, resulting in high-quality images with enhanced contrast and rich texture details. Such capabilities hold promising applications in advanced visual tasks including target detection, instance segmentation, military surveillance, pedestrian detection, among others. This paper introduces a novel approach, a dual-branch decomposition fusion network based on AutoEncoder (AE), which decomposes multi-modal features into intensity… More >

  • Open Access

    REVIEW

    The pathogenesis of chronic subdural hematoma in the perspective of neomembrane formation and related mechanisms

    MINGYUE HUANG1,#, JUNFEI DAI1,#, XIANLIANG ZHONG2, JIN WANG2, JIANZHONG XU2, BO DU2,*

    BIOCELL, Vol.48, No.6, pp. 889-896, 2024, DOI:10.32604/biocell.2024.050097

    Abstract Chronic subdural hematoma (CSDH) is a disease characterized by capsuled blood products that progressively occupy the intracranial space, causing intracranial hypertension and compression in the brain. CSDH frequently occurs in all demographics, especially in the elderly, but the pathogenesis of CSDH remains unclear. In this review, we discuss the origin, development, and current treatment strategies of CSDH. For the first time, we analyzed the cellular and molecular compositions of hematoma membranes with a focus on neomembrane formation, a complex early-stage interactive event in hematoma pathogenesis. We hypothesize that in patients with CSDH, dural border cells… More >

  • Open Access

    ARTICLE

    Silencing of Btbd7 Inhibited Epithelial–Mesenchymal Transition and Chemoresistance in CD133+ Lung Carcinoma A549 Cells

    Li-Zhou Fang*, Jian-Qing Zhang*, Ling Liu*, Wei-Ping Fu*, Jing-Kui Shu*, Jia-Gang Feng*, Xiao Liang

    Oncology Research, Vol.25, No.5, pp. 819-829, 2017, DOI:10.3727/096504016X14772349843854

    Abstract Cancer stem cells (CSCs) are responsible for tumorigenesis and recurrence, so targeting CSCs is an effective method to potentially cure cancer. BTB/POZ domain-containing protein 7 (Btbd7) has been found in various cancers, including lung cancer and liver cancer, but the role of Btbd7 in non-small cell lung cancer (NSCLC), CSC self-renewal, and chemoresistance is still unknown. Therefore, in this study we found that the ratio of tumor sphere formation and stem cell transcription factors in CD133+ cells was dramatically enhanced compared to parental cells, which indicated successful sorting of CD133+ cells from A549. Meanwhile, Btbd7 and More >

  • Open Access

    ARTICLE

    Depletion of NFBD1/MDC1 Induces Apoptosis in Nasopharyngeal Carcinoma Cells Through the p53–ROS–Mitochondrial Pathway

    Zhihai Wang*, Kui Liao, Wenqi Zuo*, Xueliang Liu*, Zhili Qiu*, Zhitao Gong*, Chuan Liu*, Quan Zeng*, Yi Qian*, Liang Jiang*, Youquan Bu, Suling Hong*, Guohua Hu*

    Oncology Research, Vol.25, No.1, pp. 123-136, 2017, DOI:10.3727/096504016X14732772150226

    Abstract NFBD1, a signal amplifier of the p53 pathway, is vital for protecting cells from p53-mediated apoptosis and the early phase of DNA damage response under normal culture conditions. Here we investigated its expression in patients with nasopharyngeal carcinoma (NPC), and we describe the biological functions of the NFBD1 gene. We found that NFBD1 mRNA and protein were more highly expressed in NPC tissues than in nontumorous tissues. To investigate the function of NFBD1, we created NFBD1-depleted NPC cell lines that exhibited decreased cellular proliferation and colony formation, an increase in their rate of apoptosis, and More >

  • Open Access

    REVIEW

    The Peritoneal Macrophages in Inflammatory Diseases and Abdominal Cancers

    Ting Liu1, Fang Liu1, Lei-Wen Peng, Li Chang, Yong-Mei Jiang

    Oncology Research, Vol.26, No.5, pp. 817-826, 2018, DOI:10.3727/096504017X15130753659625

    Abstract Peritoneal macrophages (PMs) are the major cell type of peritoneal cells that participate in multiple aspects of innate and acquired immunity in the peritoneal cavity. PMs have an ability to release a large amount of proinflammatory and anti-inflammatory cytokines and therefore play a critical role in regulating the differentiation of innate immune cells and inflammatory T cells. Accumulating studies demonstrate that the immunological reactions and inflammatory responses of PMs are strongly related to the pathogenic processes of various inflammatory diseases and abdominal cancers. Consequently, the regulation of PM activation has gradually emerged as a promising More >

  • Open Access

    ARTICLE

    A Planning Method for Operational Test of UAV Swarm Based on Mission Reliability

    Jingyu Wang1, Ping Jiang1,*, Jianjun Qi2

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1889-1918, 2024, DOI:10.32604/cmes.2024.049813

    Abstract The unmanned aerial vehicle (UAV) swarm plays an increasingly important role in the modern battlefield, and the UAV swarm operational test is a vital means to validate the combat effectiveness of the UAV swarm. Due to the high cost and long duration of operational tests, it is essential to plan the test in advance. To solve the problem of planning UAV swarm operational test, this study considers the multi-stage feature of a UAV swarm mission, composed of launch, flight and combat stages, and proposes a method to find test plans that can maximize mission reliability.… More >

  • Open Access

    ARTICLE

    Generalized nth-Order Perturbation Method Based on Loop Subdivision Surface Boundary Element Method for Three-Dimensional Broadband Structural Acoustic Uncertainty Analysis

    Ruijin Huo1,2,3, Qingxiang Pei1,2,3, Xiaohui Yuan1,*, Yanming Xu3

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 2053-2077, 2024, DOI:10.32604/cmes.2024.049185

    Abstract In this paper, a generalized th-order perturbation method based on the isogeometric boundary element method is proposed for the uncertainty analysis of broadband structural acoustic scattering problems. The Burton-Miller method is employed to solve the problem of non-unique solutions that may be encountered in the external acoustic field, and the th-order discretization formulation of the boundary integral equation is derived. In addition, the computation of loop subdivision surfaces and the subdivision rules are introduced. In order to confirm the effectiveness of the algorithm, the computed results are contrasted and analyzed with the results under Monte More >

  • Open Access

    ARTICLE

    Sepsis Prediction Using CNNBDLSTM and Temporal Derivatives Feature Extraction in the IoT Medical Environment

    Sapiah Sakri1, Shakila Basheer1, Zuhaira Muhammad Zain1, Nurul Halimatul Asmak Ismail2,*, Dua’ Abdellatef Nassar1, Manal Abdullah Alohali1, Mais Ayman Alharaki1

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1157-1185, 2024, DOI:10.32604/cmc.2024.048051

    Abstract Background: Sepsis, a potentially fatal inflammatory disease triggered by infection, carries significant health implications worldwide. Timely detection is crucial as sepsis can rapidly escalate if left undetected. Recent advancements in deep learning (DL) offer powerful tools to address this challenge. Aim: Thus, this study proposed a hybrid CNNBDLSTM, a combination of a convolutional neural network (CNN) with a bi-directional long short-term memory (BDLSTM) model to predict sepsis onset. Implementing the proposed model provides a robust framework that capitalizes on the complementary strengths of both architectures, resulting in more accurate and timelier predictions. Method: The sepsis prediction… More >

  • Open Access

    ARTICLE

    Structural, Thermal, Optical, Mechanical and Morphological Properties of ABS/RGO with DBDPE Nanocomposites

    İBRAHIM KARTERIa,b,*, MUSTAFA ÖZYEŞILDAĞb

    Journal of Polymer Materials, Vol.38, No.1-2, pp. 167-177, 2021, DOI:10.32381/JPM.2021.38.1-2.13

    Abstract This study aims to provide a comprehensive account of chemically reduced graphene oxide (RGO) and decabromodiphenyl ethane (DBDPE) filled acrylonitrile-butadiene-styrene (ABS) multifunctional filaments for fused deposition modeling (FDM) applications. ABS/RGO with DBDPE nanocomposites (ABS-GDM) were fabricated by single-screw extrusion at a diameter of 1.75 mm. The proportion of RGO and DBDPE for the ABS-GDM filaments was set to 0.75 wt%. The properties of the ABS-GDM were determined using optical, mechanical, thermal, and morphological characteristics (using scanning electron microscopy). A three-dimensional (3D) model was successfully printed using the developed ABS-GDM filaments for FDM 3D printing. These More >

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