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  • Open Access

    ARTICLE

    Aerodynamic Analysis and Optimization of Pantograph Streamline Fairing for High-Speed Trains

    Xiang Kan1, Yan Li2, Tian Li1,*, Jiye Zhang1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.5, pp. 1075-1091, 2024, DOI:10.32604/fdmp.2023.044050 - 07 June 2024

    Abstract A pantograph serves as a vital device for the collection of electricity in trains. However, its aerodynamic resistance can limit the train’s running speed. As installing fairings around the pantograph is known to effectively reduce the resistance, in this study, different fairing lengths are considered and the related aerodynamic performances of pantograph are assessed. In particular, this is accomplished through numerical simulations based on the k-ω Shear Stress Transport (SST) two-equation turbulence model. The results indicate that the fairing diminishes the direct impact of high-speed airflow on the pantograph, thereby reducing its aerodynamic resistance. However, it More >

  • Open Access

    ARTICLE

    Model Agnostic Meta-Learning (MAML)-Based Ensemble Model for Accurate Detection of Wheat Diseases Using Vision Transformer and Graph Neural Networks

    Yasir Maqsood1, Syed Muhammad Usman1,*, Musaed Alhussein2, Khursheed Aurangzeb2,*, Shehzad Khalid3, Muhammad Zubair4

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2795-2811, 2024, DOI:10.32604/cmc.2024.049410 - 15 May 2024

    Abstract Wheat is a critical crop, extensively consumed worldwide, and its production enhancement is essential to meet escalating demand. The presence of diseases like stem rust, leaf rust, yellow rust, and tan spot significantly diminishes wheat yield, making the early and precise identification of these diseases vital for effective disease management. With advancements in deep learning algorithms, researchers have proposed many methods for the automated detection of disease pathogens; however, accurately detecting multiple disease pathogens simultaneously remains a challenge. This challenge arises due to the scarcity of RGB images for multiple diseases, class imbalance in existing… More >

  • Open Access

    ARTICLE

    Bone marrow microRNA-34a is a good indicator for response to treatment in acute myeloid leukemia

    MONA S. ABDELLATEIF1,*, NAGLAA M. HASSAN2, MAHMOUD M. KAMEL2, YOMNA M. EL-MELIGUI2

    Oncology Research, Vol.32, No.3, pp. 577-584, 2024, DOI:10.32604/or.2023.043026 - 06 February 2024

    Abstract Background: microRNA-34a (miR-34a) had been reported to have a diagnostic role in acute myeloid leukemia (AML). However, its value in the bone marrow (BM) of AML patients, in addition to its role in response to therapy is still unclear. The current study was designed to assess the diagnostic, prognostic, and predictive significance of miR-34a in the BM of AML patients. Methods: The miR-34a was assessed in BM aspirate of 82 AML patients in relation to 12 normal control subjects using qRT-PCR. The data were assessed for correlation with the relevant clinical criteria, response to therapy,… More >

  • Open Access

    REVIEW

    Phytochemistry and ethnomedicinal qualities of metabolites from Phyllanthus emblica L.: A review

    VIJAY KUMAR1,#, PRAVEEN C. RAMAMURTHY2,#, SIMRANJEET SINGH2,#, DALJEET SINGH DHANJAL3, PARUL PARIHAR4, DEEPIKA BHATIA5, RAM PRASAD6,*, JOGINDER SINGH7,*

    BIOCELL, Vol.47, No.5, pp. 1159-1176, 2023, DOI:10.32604/biocell.2023.022065 - 10 April 2023

    Abstract Phyllanthus emblica or Indian gooseberry is an integrated part of Ayurvedic and Traditional Chinese Medicines. For several decades, the well-known ancient herb has been extensively utilized in traditional medicine to cure diseases like fever, diabetes, constipation, jaundice, ulcers, biliousness, anemia, anorexia, and dyspepsia. In the traditional system, Indian gooseberry has various ethnomedicinal applications. In the Ayurvedic system, different methods of administration (anupan) have shown different ethnomedicinal properties of Indian gooseberry. Seventy well-known chemical components in Indian gooseberry have been identified through phytochemical evaluation, among which the flavonoids and phenols are most prominent. From the toxicity perspective,… More >

  • Open Access

    ARTICLE

    A Variational Multiscale Method for Particle Dispersion Modeling in the Atmosphere

    Y. Nishio1,*, B. Janssens1, K. Limam2, J. van Beeck3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 743-753, 2023, DOI:10.32604/fdmp.2022.021848 - 29 September 2022

    Abstract A LES model is proposed to predict the dispersion of particles in the atmosphere in the context of Chemical, Biological, Radiological and Nuclear (CBRN) applications. The code relies on the Finite Element Method (FEM) for both the fluid and the dispersed solid phases. Starting from the Navier-Stokes equations and a general description of the FEM strategy, the Streamline Upwind Petrov-Galerkin (SUPG) method is formulated putting some emphasis on the related assembly matrix and stabilization coefficients. Then, the Variational Multiscale Method (VMS) is presented together with a detailed illustration of its algorithm and hierarchy of computational More >

  • Open Access

    ARTICLE

    A Construction of Object Detection Model for Acute Myeloid Leukemia

    K. Venkatesh1,*, S. Pasupathy1, S. P. Raja2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 543-560, 2023, DOI:10.32604/iasc.2023.030701 - 29 September 2022

    Abstract The evolution of bone marrow morphology is necessary in Acute Myeloid Leukemia (AML) prediction. It takes an enormous number of times to analyze with the standardization and inter-observer variability. Here, we proposed a novel AML detection model using a Deep Convolutional Neural Network (D-CNN). The proposed Faster R-CNN (Faster Region-Based CNN) models are trained with Morphological Dataset. The proposed Faster R-CNN model is trained using the augmented dataset. For overcoming the Imbalanced Data problem, data augmentation techniques are imposed. The Faster R-CNN performance was compared with existing transfer learning techniques. The results show that the More >

  • Open Access

    ARTICLE

    An Improved Handoff Algorithm for Heterogeneous Wireless Networks

    Deepak Dahiya1, Payal Mahajan2,*, Zaheeruddin2, Mamta Dahiya3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3433-3453, 2022, DOI:10.32604/cmc.2022.026676 - 16 June 2022

    Abstract Heterogeneous Wireless Network is currently a major area of focus in communication engineering. But the important issue in recent communication is the approachability to the wireless networks while maintaining the quality of service. Today, all the wireless access networks are working in tandem to keep the users always connected to the internet cloud that matches the price affordability and performance goals. In order to achieve seamless connectivity, due consideration has to be given to handoff precision and a smaller number of handoffs. Several researchers have used heuristic approaches to solve this issue. In the present More >

  • Open Access

    ARTICLE

    A Dynamic Multi-ary Query Tree Protocol for Passive RFID Anti-collision

    Gang Li1, Haoyang Sun1, Zhenbing Li1, Peiqi Wu1, Daniele Inserra1,*, Jian Su2, Xiaochuan Fang3, Guangjun Wen1

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4931-4944, 2022, DOI:10.32604/cmc.2022.026654 - 21 April 2022

    Abstract

    In this paper, a dynamic multi-ary query tree (DMQT) anti-collision protocol for Radio Frequency Identification (RFID) systems is proposed for large scale passive RFID tag identification. The proposed DMQT protocol is based on an iterative process between the reader and tags which identifies the position of collision bits through map commands and dynamically encodes them to optimize slots allocation through query commands. In this way, the DMQT completely eliminates empty slots and greatly reduces collision slots, which in turn reduces the identification time and energy costs. In addition and differently to other known protocols, the

    More >

  • Open Access

    ARTICLE

    STMN1 promotes the proliferation and inhibits the apoptosis of acute myeloid leukemiacells by activating the PI3K/Akt pathway

    PENG YANG1,*, ZHIYING ZOU1, XULING GAO2

    BIOCELL, Vol.46, No.1, pp. 207-218, 2022, DOI:10.32604/biocell.2021.014728 - 29 September 2021

    Abstract Recent studies have shown that the microtubule disrupting protein Stathmin 1 (STMN1) is differentially expressed in AML patients and healthy control. The aim of this study was to explore the effects and molecular mechanism of STMN1 in AML. Here, the expression of STMN1 in peripheral blood cells (PBMCs) and bone marrow of AML patients and healthy volunteers was detected by RT-PCR and Western blot. STMN1 expression was regulated by transfected with STMN1 overexpressed plasmid or shRNA in two human leukemia cell lines K562 and HL60. Cell proliferation was examined by CCK8 and Edu staining. Annexin V… More >

  • Open Access

    ARTICLE

    CD34+ CD38- subpopulation without CD123 and CD44 is responsible for LSC and correlated with imbalance of immune cell subsets in AML

    QIANSHAN TAO#, QING ZHANG#, HUIPING WANG, HAO XIAO, MEI ZHOU, LINLIN LIU, HUI QIN, JIYU WANG, FURUN AN, ZHIMIN ZHAI*, YI DONG*

    BIOCELL, Vol.46, No.1, pp. 159-169, 2022, DOI:10.32604/biocell.2021.014139 - 29 September 2021

    Abstract Acute myeloid leukemia (AML) is regarded as a stem cell disease. However, no one unique marker is expressed on leukemia stem cells (LSC) but not on leukemic blasts nor normal hematopoietic stem cells (HSC). CD34+ CD38- with or without CD123 or CD44 subpopulations are immunophenotypically defined as putative LSC fractions in AML. Nevertheless, markers that can be effectively and simply held responsible for the intrinsical heterogeneity of LSC is still unclear. In the present study, we examined the frequency of three different LSC subtypes (CD34+ CD38-, CD34+ CD38- CD123+ , CD34+ CD38- CD44+ ) in AML at diagnosis. We then… More >

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