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  • Open Access

    ARTICLE

    Microscopic Analysis of Cementitious Sand and Gravel Damming Materials

    Ran Wang1, Aimin Gong1,*, Shanqing Shao1, Baoli Qu2, Jing Xu3, Fulai Wang1, Feipeng Liu3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.4, pp. 749-769, 2024, DOI:10.32604/fdmp.2023.042566 - 28 March 2024

    Abstract The mechanical properties of cementitious sand and gravel damming material have been experimentally determined by means of microscopic SEM (Scanning Electron Microscopy) image analysis. The results show that the combination of fly ash and water can fill the voids in cemented sand and gravel test blocks because of the presence of hydrated calcium silicate and other substances; thereby, the compactness and mechanical properties of these materials can be greatly improved. For every 10 kg/m3 increase in the amount of cementitious material, the density increases by about 2%, and the water content decreases by 0.2%. The amount More > Graphic Abstract

    Microscopic Analysis of Cementitious Sand and Gravel Damming Materials

  • Open Access

    ARTICLE

    Enhanced 3D Point Cloud Reconstruction for Light Field Microscopy Using U-Net-Based Convolutional Neural Networks

    Shariar Md Imtiaz1, Ki-Chul Kwon1, F. M. Fahmid Hossain1, Md. Biddut Hossain1, Rupali Kiran Shinde1, Sang-Keun Gil2, Nam Kim1,*

    Computer Systems Science and Engineering, Vol.47, No.3, pp. 2921-2937, 2023, DOI:10.32604/csse.2023.040205 - 09 November 2023

    Abstract This article describes a novel approach for enhancing the three-dimensional (3D) point cloud reconstruction for light field microscopy (LFM) using U-net architecture-based fully convolutional neural network (CNN). Since the directional view of the LFM is limited, noise and artifacts make it difficult to reconstruct the exact shape of 3D point clouds. The existing methods suffer from these problems due to the self-occlusion of the model. This manuscript proposes a deep fusion learning (DL) method that combines a 3D CNN with a U-Net-based model as a feature extractor. The sub-aperture images obtained from the light field… More >

  • Open Access

    ARTICLE

    Classification of Human Protein in Multiple Cells Microscopy Images Using CNN

    Lina Al-joudi, Muhammad Arif*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1763-1780, 2023, DOI:10.32604/cmc.2023.039413 - 30 August 2023

    Abstract The subcellular localization of human proteins is vital for understanding the structure of human cells. Proteins play a significant role within human cells, as many different groups of proteins are located in a specific location to perform a particular function. Understanding these functions will help in discovering many diseases and developing their treatments. The importance of imaging analysis techniques, specifically in proteomics research, is becoming more prevalent. Despite recent advances in deep learning techniques for analyzing microscopy images, classification models have faced critical challenges in achieving high performance. Most protein subcellular images have a significant… More >

  • Open Access

    ARTICLE

    A Simple Clear Technique in Observing Vascular Development of Grape Ovary

    Teng Fei1, Youmei Li1, Bo Li2, Zhaosen Xie1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2117-2132, 2023, DOI:10.32604/phyton.2023.028208 - 29 May 2023

    Abstract The vascular system of the grapevine (Vitis vinifera L.) flower is a channel for transporting water and nutrients to the ovary. It plays an important role in the development of the ovary and fertilization through pollination. However, the vascular bundles in the flower are so tiny that they are difficult to sample and observe by traditional slicing techniques. In this study, ‘Summer Black’ grape flowers were selected as the test materials, and the tissue samples were treated by the optical clearing technique. After simple compaction, the structure and development of the vasculature were observed by common… More >

  • Open Access

    ARTICLE

    Detection of Omicron Caused Pneumonia from Radiology Images Using Convolution Neural Network (CNN)

    Arfat Ahmad Khan1, Malik Muhammad Ali Shahid2, Rab Nawaz Bashir2, Salman Iqbal2, Arshad Shehzad Ahmad Shahid3, Javeria Maqbool4, Chitapong Wechtaisong5,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3743-3761, 2023, DOI:10.32604/cmc.2023.033924 - 31 October 2022

    Abstract COVID-19 disease caused by the SARS-CoV-2 virus has created social and economic disruption across the world. The ability of the COVID-19 virus to quickly mutate and transfer has created serious concerns across the world. It is essential to detect COVID-19 infection caused by different variants to take preventive measures accordingly. The existing method of detection of infections caused by COVID-19 and its variants is costly and time-consuming. The impacts of the COVID-19 pandemic in developing countries are very drastic due to the unavailability of medical facilities and infrastructure to handle the pandemic. Pneumonia is the… More >

  • Open Access

    ARTICLE

    Study on Properties of Blue-Brick Masonry Materials for Historical Buildings

    Shaochun Ma1,2,*, Lin Wang1, Peng Bao1,*

    Journal of Renewable Materials, Vol.10, No.7, pp. 1961-1978, 2022, DOI:10.32604/jrm.2022.018755 - 07 March 2022

    Abstract There are a large number of historic buildings which were mainly made of blue-brick masonry in today’s world. However, for the natural and man-made reasons, these historic buildings have been damaged in different degrees. In order to protect historic buildings more scientifically and learn about the preservation state of existing historic buildings, it is necessary to ascertain the material properties of blue brick in historic buildings. The article takes the blue bricks of historical buildings in Kaifeng area of the Central Plains as an example to study. Through the analysis of physical properties, X-ray fluorescence… More > Graphic Abstract

    Study on Properties of Blue-Brick Masonry Materials for Historical Buildings

  • Open Access

    ARTICLE

    Urdnet: A Cryo-EM Particle Automatic Picking Method

    Jianquan Ouyang1, Yue Zhang1, Kun Fang1,2,*, Tianming Liu3, Xiangyu Pan2

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1593-1610, 2022, DOI:10.32604/cmc.2022.025072 - 24 February 2022

    Abstract Cryo-Electron Microscopy (Cryo-EM) images are characterized by the low signal-to-noise ratio, low contrast, serious background noise, more impurities, less data, difficult data labeling, simpler image semantics, and relatively fixed structure, while U-Net obtains low resolution when downsampling rate information to complete object category recognition, obtains high-resolution information during upsampling to complete precise segmentation and positioning, fills in the underlying information through skip connection to improve the accuracy of image segmentation, and has advantages in biological image processing like Cryo-EM image. This article proposes A U-Net based residual intensive neural network (Urdnet), which combines point-level and More >

  • Open Access

    ARTICLE

    Flammabilty and Mechanical Performance of MWCNT Incorporated Cyante Ester/Carbon Fiber Composites

    JITENDRA. S. TATE1,2,*, HARISH KALLAGUNTA1,2, ANDREW ALVAREZ1

    Journal of Polymer Materials, Vol.38, No.1-2, pp. 101-120, 2021, DOI:10.32381/JPM.2021.38.1-2.9

    Abstract The exponential growth in composites and their increased use in military, aerospace, energy, and automotive industry is driven by their high performance and light weight. High performance thermosetting polymers such as cyanate ester have received considerable attention due to its ability of volatile-free curing. It also offers advantages such as excellent radiation shielding, high thermal stability, and hydrophobicity with lots of potential for enhanced mechanical strength. This research article discusses the results of effects of multiwalled carbon nanotubes (MWCNT) at predetermined loading levels of 0.5wt%, 1wt% and 1.5wt% on mechanical, thermal and flammability properties of More >

  • Open Access

    ARTICLE

    Fiber Loading of Date Palm and Kenaf Reinforced Epoxy Composites: Tensile, Impact and Morphological Properties

    Syed Waheedullah Ghori1,*, G. Srinivasa Rao2

    Journal of Renewable Materials, Vol.9, No.7, pp. 1283-1292, 2021, DOI:10.32604/jrm.2021.014987 - 18 March 2021

    Abstract Date palm fiber (DPF) and kenaf fiber were reinforced in epoxy having various fiber loading 40%, 50%, and 60% by weight. These hybrid samples were manufactured by hot press technique and then characterized for tensile, impact, and morphological behavior to evaluate the ratio of fibers in the hybrid composites; the addition of kenaf improved the tensile properties, Scanning Electron Microscopy (SEM) revealed the interfacial bonding of fiber/matrix, and dispersion and void content in composites. Impact test studies reflected the effect of natural fiber with epoxy, level of stress transfer from matrix to reinforced material, and More > Graphic Abstract

    Fiber Loading of Date Palm and Kenaf Reinforced Epoxy Composites: Tensile, Impact and Morphological Properties

  • Open Access

    ARTICLE

    Fabrication of Crack-Free Flattened Bamboo and Its Macro-/Micro-Morphological and Mechanical Properties

    Zhichao Lou1,2, Tiancheng Yuan1, Qiuyi Wang1, Xinwu Wu1, Shouheng Hu1, Xiaomeng Hao1, Xianmiao Liu3,*, Yanjun Li1,*

    Journal of Renewable Materials, Vol.9, No.5, pp. 959-977, 2021, DOI:10.32604/jrm.2021.014285 - 20 February 2021

    Abstract This work aimed to help the bamboo industry develop methodology for producing imperfection-free bamboo boards that can serve either decorative or structural benefit to consumers seeking to engage with the bioeconomy. Specifi- cally, softened and slotted bamboo tubes were handled by a roller device with nails to render crack-free flattened bamboo board. Softening temperature and time were optimized herein according to findings regarding chemical composition and board mechanical properties. The optimal softening parameters for saturated steam heat treatment is proved to be 160°C for 8 minutes. The flattened bamboo board possesses an increased bending strength… More >

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