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  • Open Access

    ARTICLE

    Experimental Study on Improvement Effects of Completely Weathered Phyllite Using Red Clay and Cement for High-Speed Railway Embankments

    Xiushao Zhao1, Jianglong Rao1, Qijing Yang1,2,*, Yu Rong3, Zhitao Fu1, Zhiyao Wang1, Zixi Chen1

    Journal of Renewable Materials, Vol.10, No.5, pp. 1287-1305, 2022, DOI:10.32604/jrm.2022.017473 - 22 December 2021

    Abstract Completely weathered phyllite (CWP) has the characteristics of difficult compaction, low shear strength after compaction and large settlement after construction. The traditional improvement method using a single agent of red clay or cement for CWP satisfies the subgrade requirements for ordinary railway, but cannot meet the requirements of immediate strength and long-term post-construction settlement of high-speed railway at the same time. A series of experimental investigations were undertaken for the blended CWP soils, with three additives used. The first additive was red clay, the second was cement and the third was a combination of both… More > Graphic Abstract

    Experimental Study on Improvement Effects of Completely Weathered Phyllite Using Red Clay and Cement for High-Speed Railway Embankments

  • Open Access

    REVIEW

    A Review of Test Methods for the Determination of the Permeability Coefficient of Gravelly Soils Used for Embankment Dams

    Zhenggang Zhan1, Han Chen2,3, Yanyi Zhang2,3, Ruilin Cheng1, Gang Deng2,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.1, pp. 131-144, 2022, DOI:10.32604/fdmp.2022.017536 - 10 November 2021

    Abstract The factors influencing the permeability coefficient of gravelly soils used for the development of embankment dams (core wall) are analyzed. Such factors include (but are not limited to) soil size, anisotropy, density and boundary effects. A review of the literature is conducted and new directions of research are proposed. In such a framework, it is shown that gravelly soil with controlled density and vertical stress should be used to optimize the measurement of the vertical and horizontal permeability coefficients, respectively. More >

  • Open Access

    ARTICLE

    Clustering Indoor Location Data for Social Distancing and Human Mobility to Combat COVID-19

    Yuan Ai Ho1, Chee Keong Tan1,*, Yin Hoe Ng2

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 907-924, 2022, DOI:10.32604/cmc.2022.021756 - 03 November 2021

    Abstract The world is experiencing the unprecedented time of a pandemic caused by the coronavirus disease (i.e., COVID-19). As a countermeasure, contact tracing and social distancing are essential to prevent the transmission of the virus, which can be achieved using indoor location analytics. Based on the indoor location analytics, the human mobility on a site can be monitored and planned to minimize human’s contact and enforce social distancing to contain the transmission of COVID-19. Given the indoor location data, the clustering can be applied to cluster spatial data, spatio-temporal data and movement behavior features for proximity detection… More >

  • Open Access

    ARTICLE

    Optimized Stacked Autoencoder for IoT Enabled Financial Crisis Prediction Model

    Mesfer Al Duhayyim1, Hadeel Alsolai2, Fahd N. Al-Wesabi3,4, Nadhem Nemri3, Hany Mahgoub3, Anwer Mustafa Hilal5, Manar Ahmed Hamza5,*, Mohammed Rizwanullah5

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1079-1094, 2022, DOI:10.32604/cmc.2022.021199 - 03 November 2021

    Abstract Recently, Financial Technology (FinTech) has received more attention among financial sectors and researchers to derive effective solutions for any financial institution or firm. Financial crisis prediction (FCP) is an essential topic in business sector that finds it useful to identify the financial condition of a financial institution. At the same time, the development of the internet of things (IoT) has altered the mode of human interaction with the physical world. The IoT can be combined with the FCP model to examine the financial data from the users and perform decision making process. This paper presents… More >

  • Open Access

    ARTICLE

    Revisiting miR-155 in intervertebral disc degeneration: blood cell signature and local cell-free profiles

    ZHIHENG LIU1,2, ZHEN SUN3, ZHONGYUAN WAN4, HAIQIANG WANG2,*

    BIOCELL, Vol.46, No.2, pp. 511-517, 2022, DOI:10.32604/biocell.2021.016194 - 20 October 2021

    Abstract We unraveled the expression profiles of coding-noncoding RNAs in intervertebral disc degeneration (IDD). However, it remains elusive regarding miR-155 expression in peripheral blood mononuclear cells (PBMCs) and local extracellular space in IDD. The study aimed for investigating the miR-155 expression of PBMCs, extracellular miRNAs (ex-miRNAs) of human nucleus pulposus (NP) tissues, and morphological changes of cell death in the IDD process. Here, we harvested peripheral blood and NP samples from scoliosis and IDD patients as control and degenerative groups, respectively. Then standard Ficoll density-gradient centrifugation was used to isolate PBMCs. The two subpopulations of PBMCs… 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 >

  • Open Access

    ARTICLE

    Transcriptome profile analysis of the accompanying migratory parasitic wasp Aenasius bambawalei (= Aenasius arizonensis girault) (Hymenoptera: Encyrtidae): Genes related to fertilization involved at different stage of ovary development

    JUAN ZHANG2, JUN HUANG3, YAYUAN TANG2, XIUZHEN LONG1

    BIOCELL, Vol.46, No.1, pp. 195-205, 2022, DOI:10.32604/biocell.2022.016563 - 28 September 2021

    Abstract Age-related declines in fertilization success have been reported for a wide range of species. The fertilization of parasitic wasps is closely related to egg production and sperm storage. Aenasius bambawalei (Hymenoptera: Encyridae) is a key parasitic wasp of the important invasive mealybug Phenacoccus solenopsis (Hemiptera: Pseudococcidae). The female offspring ratio of this parasitic wasp was declined with parental age in mass rearing under laboratory conditions. To investigate the molecular mechanisms involved in the reproduction of A. bambawalei, an extensive analysis of the impact of age on transcriptome profile of mated ovaries of this wasp was performed by comparing… More >

  • Open Access

    ARTICLE

    Handling Class Imbalance in Online Transaction Fraud Detection

    Kanika1, Jimmy Singla1, Ali Kashif Bashir2, Yunyoung Nam3,*, Najam UI Hasan4, Usman Tariq5

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2861-2877, 2022, DOI:10.32604/cmc.2022.019990 - 27 September 2021

    Abstract With the rise of internet facilities, a greater number of people have started doing online transactions at an exponential rate in recent years as the online transaction system has eliminated the need of going to the bank physically for every transaction. However, the fraud cases have also increased causing the loss of money to the consumers. Hence, an effective fraud detection system is the need of the hour which can detect fraudulent transactions automatically in real-time. Generally, the genuine transactions are large in number than the fraudulent transactions which leads to the class imbalance problem.… More >

  • Open Access

    ARTICLE

    Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

    Hanan A. Hosni Mahmoud*, Doaa S. Khafga, Amal H. Alharbi

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 805-821, 2022, DOI:10.32604/csse.2022.019633 - 09 September 2021

    Abstract Limbal Stem Cell Deficiency (LSCD) is an eye disease that can cause corneal opacity and vascularization. In its advanced stage it can lead to a degree of visual impairment. It involves the changing in the semispherical shape of the cornea to a drooping shape to downwards direction. LSCD is hard to be diagnosed at early stages. The color and texture of the cornea surface can provide significant information about the cornea affected by LSCD. Parameters such as shape and texture are very crucial to differentiate normal from LSCD cornea. Although several medical approaches exist, most… More >

  • Open Access

    ARTICLE

    A New Fuzzy Adaptive Algorithm to Classify Imbalanced Data

    Harshita Patel1, Dharmendra Singh Rajput1,*, Ovidiu Petru Stan2, Liviu Cristian Miclea2

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 73-89, 2022, DOI:10.32604/cmc.2022.017114 - 07 September 2021

    Abstract Classification of imbalanced data is a well explored issue in the data mining and machine learning community where one class representation is overwhelmed by other classes. The Imbalanced distribution of data is a natural occurrence in real world datasets, so needed to be dealt with carefully to get important insights. In case of imbalance in data sets, traditional classifiers have to sacrifice their performances, therefore lead to misclassifications. This paper suggests a weighted nearest neighbor approach in a fuzzy manner to deal with this issue. We have adapted the ‘existing algorithm modification solution’ to learn… More >

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