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  • Open Access

    ARTICLE

    K-Banhatti Sombor Invariants of Certain Computer Networks

    Khalid Hamid1, Muhammad Waseem Iqbal2,*, Abaid Ur Rehman Virk3, Muhammad Usman Ashraf4, Ahmed Mohammed Alghamdi5, Adel A. Bahaddad6, Khalid Ali Almarhabi7

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 15-31, 2022, DOI:10.32604/cmc.2022.028406 - 18 May 2022

    Abstract Any number that can be uniquely determined by a graph is called a graph invariant. During the last twenty years’ countless mathematical graph invariants have been characterized and utilized for correlation analysis. However, no reliable examination has been embraced to decide, how much these invariants are related with a network graph or molecular graph. In this paper, it will discuss three different variants of bridge networks with good potential of prediction in the field of computer science, mathematics, chemistry, pharmacy, informatics and biology in context with physical and chemical structures and networks, because k-banhatti sombor More >

  • Open Access

    ARTICLE

    A Learning-Based Fault Localization Approach Using Subset of Likely and Dynamic Invariants

    Asadullah Shaikh1,*, Syed Rizwan2, Abdullah Alghamdi1, Noman Islam2, M.A. Elmagzoub1, Darakhshan Syed2

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1529-1546, 2022, DOI:10.32604/iasc.2022.021163 - 09 October 2021

    Abstract Fault localization is one of the main tasks of software debugging. Developers spend a lot of time, cost, and effort to locate the faults correctly manually. For reducing this effort, many automatic fault localization techniques have been proposed, which inputs test suites and outputs a sorted list of faulty entities of the program. For further enhancement in this area, we developed a system called SILearning, which is based on invariant analysis. It learns from some existing fixed bugs to locate faulty methods in the program. It combines machine-learned ranking, program invariant differences, and spectrum-based fault… More >

  • Open Access

    ARTICLE

    Selection and Analysis of Polymorphisms in Somaclonal Variants of Agave americana Resistant to Fusarium oxysporum via an Ethyl Methanesulphonate Treatment

    Sheila Jazmín Reyes-Zambrano1,*, Carlos Alberto Lecona-Guzmán1, Federico Antonio Gutiérrez-Miceli1, Víctor Manuel Ruiz-Valdiviezo1, Arely Anayansi Vargas-Díaz2

    Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1727-1739, 2021, DOI:10.32604/phyton.2021.016171 - 28 June 2021

    Abstract Agave americana L. callus were exposed to different concentrations of ethyl methanesulphonate (EMS) 0, 15, 30, 45 and 60 mM and to different times of exposure (2 and 4 h). The viability and capacity of shoot formation were shown to be affected when the callus were exposed to high concentrations (30–60 mM). Only the callus exposed to 15 mM EMS presented shoot formation; the exposure time of two hours produced the largest quantity of shoots regenerated per callus (21 shoots/callus). In order to generate somaclonal variants resistant to Fusarium oxysporum, a selection pressure was applied through of… More >

  • Open Access

    ARTICLE

    Data-Fusion for Epidemiological Analysis of Covid-19 Variants in UAE

    Anoud Bani-Hani1,*, Anaïs Lavorel2, Newel Bessadet3

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3895-3913, 2021, DOI:10.32604/cmc.2021.015355 - 06 May 2021

    Abstract Since December 2019, a new pandemic has appeared causing a considerable negative global impact. The SARS-CoV-2 first emerged from China and transformed to a global pandemic within a short time. The virus was further observed to be spreading rapidly and mutating at a fast pace, with over 5,775 distinct variations of the virus observed globally (at the time of submitting this paper). Extensive research has been ongoing worldwide in order to get a better understanding of its behaviour, influence and more importantly, ways for reducing its impact. Data analytics has been playing a pivotal role… More >

  • Open Access

    REVIEW

    Ethyl Methanesulfonate as Inductor of Somaclonal Variants in Different Crops

    José Gregorio Joya-Dávila, F. A. Gutiérrez-Miceli*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 835-850, 2020, DOI:10.32604/phyton.2020.013679 - 09 November 2020

    Abstract Ethyl methanesulfonate is a chemical mutagen, which is currently being used in plant breeding, to increase genetic variability in genes of agronomic interest, of species useful in agriculture. It primarily causes single base point mutations by inducing guanine alkylation, resulting in GC to AT transitions. Its effect is different between clones of a genotype and between genotypes of the same species. This review presents the results obtained in recent research, where its effect on plant tissues, callus, and cells in suspension has been evaluated. Changes in the phenotypic expression of somaclonal variants were reported, involving… More >

  • Open Access

    ARTICLE

    Computing Topological Invariants of Triangular Chandelier Lattice

    Nazeran Idrees1, *, Raghisa Khalid1, Fozia Bashir Farooq2, Sumiya Nasir3

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1119-1132, 2020, DOI:10.32604/cmc.2020.08166 - 30 April 2020

    Abstract A numerical parameter mathematically derived from the graph structure is a topological index. The topological index is the first actual choice in QSAR research and these indices are used to build the correlation model between the chemical structures of various chemicals compounds. Here, we investigate some old degree-based topological indices like Randic index, sum connectivity index, ABC index, GA index, 1st and 2nd Zagreb indices, modified second Zagreb index, redefined version of 1st, 2nd and 3rd Zagreb indices, hyper and augmented Zagreb indices, forgotten index and symmetric division degree index, and some new degree-based indices like SK index, SK1 index, More >

  • Open Access

    ABSTRACT

    The Analysis of Transformation Temperature and Microstructural Evolution in Ni-Ti Based Shape Memory Alloys by Molecular Dynamics

    Hsin-Yu Chen, Nien-Ti Tsou*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 55-55, 2019, DOI:10.32604/icces.2019.05403

    Abstract Shape memory alloys has been widely applied on actuators and medical devices. The transformation temperature and microstructural evolution play the crucial factors and dominate the behavior of shape memory alloys. In order to understand the influence of the composition of the Ni-Ti on the two factors, molecular dynamics (MD) is adopted to simulate the temperature-induced phase transformation in the current study. In addition, the results are post-processed by the martensite variant identification method. The method allows to reveal the detailed microstructural evolution and the volume fraction of each variant/phase in each case of the composition More >

  • Open Access

    ARTICLE

    The Analysis of Thermal-Induced Phase Transformation and Microstructural Evolution in Ni-Ti Based Shape Memory Alloys By Molecular Dynamics

    Hsin-Yu Chen1, Nien-Ti Tsou1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.2, pp. 319-332, 2019, DOI:10.32604/cmes.2019.06447

    Abstract Shape memory alloys has been widely applied on actuators and medical devices. The transformation temperature and microstructural evolution play two crucial factors and dominate the behavior of shape memory alloys. In order to understand the influence of the composition of the Ni-Ti alloys on the two factors, molecular dynamics was adopted to simulate the temperature-induced phase transformation. The results were post-processed by the martensite variant identification method. The method allows to reveal the detailed microstructural evolution of variants/phases in each case of the composition of Ni-Ti. Many features were found and having good agreement with More >

  • Open Access

    ARTICLE

    Sociodemographic and survival disparities for histologic variants of bladder cancer

    Joshua S. Jue1,2, Tulay Koru-Sengul3,4, Kevin J. Moore2,3, Feng Miao2, Mahmoud Alameddine1, Bruno Nahar1, Sanoj Punnen1, Dipen J. Parekh1,4, Chad R. Ritch1, Mark L. Gonzalgo1,4

    Canadian Journal of Urology, Vol.25, No.1, pp. 9179-9185, 2018

    Abstract Introduction: To investigate the impact of perioperative factors on overall survival among patients with histologic variants of bladder cancer treated with radical cystectomy.
    Materials and methods: The National Cancer Data Base (NCDB) was utilized to identify patients diagnosed with muscle-invasive bladder cancer (cT2–T4, N0, M0) from 2004 to 2013. Variant histology bladder cancers—including non-mucinous adenocarcinoma, mucinous/signet ring adenocarcinoma, micropapillary urothelial carcinoma, small cell carcinoma, and squamous cell carcinoma—were compared to urothelial carcinoma with respect to overall survival. Adjusted hazard ratios (aHR) and 95% confidence intervals (CI) were calculated using a multivariable Cox regression model to examine factors… More >

  • Open Access

    ARTICLE

    Some Geometric Invariants of Pseudo-Spherical Evolutes in the Hyperbolic 3-Space

    H. S. Abdel-Aziz1, M. Khalifa Saad1,2,*, A. A. Abdel-Salam1

    CMC-Computers, Materials & Continua, Vol.57, No.3, pp. 389-415, 2018, DOI:10.32604/cmc.2018.02149

    Abstract In this paper, we study the pseudo-spherical evolutes of curves in three dimensional hyperbolic space. We use techniques from singularity theory to investigate the singularities of pseudo-spherical evolutes and establish some relationships between singularities of these curves and geometric invariants of curves under the action of the Lorentz group. Besides, we defray with illustration some computational examples in support our main results. More >

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