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  • Open Access

    ARTICLE

    K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

    Khalid Hamid1, Muhammad Waseem Iqbal2,*, Erssa Arif1, Yasir Mahmood3,4, Ahmad Salman Khan3, Nazri Kama4, Azri Azmi4, Atif Ikram5,6

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5423-5440, 2022, DOI:10.32604/cmc.2022.030927

    Abstract Any number that can be uniquely determined by a graph is called graph invariants. During the most recent twenty years’ innumerable numerical graph invariants have been described and used for correlation analysis. In the fast and advanced environment of manufacturing of networks and other products which used different networks, no dependable assessment has been embraced to choose, how much these invariants are connected with a network graph or molecular graph. In this paper, it will talk about three distinct variations of bridge networks with great capability of expectation in the field of computer science, chemistry,… More >

  • 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

    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

    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

    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

    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

    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

    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

    Application of Different Variants of the BEM in Numerical Modeling of Bioheat Transfer Problems

    Ewa Majchrzak*

    Molecular & Cellular Biomechanics, Vol.10, No.3, pp. 201-232, 2013, DOI:10.3970/mcb.2013.010.201

    Abstract Heat transfer processes proceeding in the living organisms are described by the different mathematical models. In particular, the typical continuous model of bioheat transfer bases on the most popular Pennes equation, but the Cattaneo-Vernotte equation and the dual phase lag equation are also used. It should be pointed out that in parallel are also examined the vascular models, and then for the large blood vessels and tissue domain the energy equations are formulated separately. In the paper the different variants of the boundary element method as a tool of numerical solution of bioheat transfer problems 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 >

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