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  • 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

    The Relationship BRCA1/2 Genes and Family History in Ovarian Cancers

    Neslihan Duzkale1,*, Hikmet Taner Teker2

    Oncologie, Vol.22, No.2, pp. 65-74, 2020, DOI:10.32604/oncologie.2020.013707

    Abstract BRCA1/2 genes are responsible for the hereditary breast and ovarian cancer syndrome. In this study, Turkish women with ovarian cancer were investigated in terms of demographic, clinicopathologic and family cancer stories according to their condition of the BRCA1/2 genes mutation carrier. During 2011 to 2017 in Turkey, BRCA1 and BRCA2 genes were analyzed in 38 women, who were diagnosed with cancer using Next Generation Sequencing technique. Pathogenic mutations were detected in 9 (23.7%) of patients. The diagnosis age for Ovarian cancer patients for BRCA1/2 mutation carriers was found higher. It was seen that mutations mostly occurred in the… More >

  • Open Access

    ARTICLE

    Optimized PID Controller Using Adaptive Differential Evolution with Meanof-pbest Mutation Strategy

    Ti-Hung Chen1, Ming-Feng Yeh2,*

    Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 407-420, 2020, DOI:10.32604/iasc.2020.013917

    Abstract On the basis of JADE (adaptive differential evolution with optional external archive) and the modified differential evolution with p-best crossover (MDE_pBX), this study attempts to propose a modified mutation strategy termed "DE/(pbest)/1" for the differential evolution (DE) algorithm, where “(pbest)” represents the mean of p top-best vectors. Two modified parameter adaptation mechanisms are also proposed to update the crossover rate and the scale factor, respectively, in an adaptive manner. The DE variant with the proposed mutation strategy and two modified adaptation mechanisms is termed adaptive differential evolution with mean-of-pbest mutation strategy, denoted by ADE_pBM is comparable to or More >

  • Open Access

    ARTICLE

    An Improved Crow Search Based Intuitionistic Fuzzy Clustering Algorithm for Healthcare Applications

    Parvathavarthini S1,*, Karthikeyani Visalakshi N2, Shanthi S3, Madhan Mohan J4

    Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 253-260, 2020, DOI:10.31209/2019.100000155

    Abstract Intuitionistic fuzzy clustering allows the uncertainties in data to be represented more precisely. Medical data usually possess a high degree of uncertainty and serve as the right candidate to be represented as Intuitionistic fuzzy sets. However, the selection of initial centroids plays a crucial role in determining the resulting cluster structure. Crow search algorithm is hybridized with Intuitionistic fuzzy C-means to attain better results than the existing hybrid algorithms. Still, the performance of the algorithm needs improvement with respect to the objective function and cluster indices especially with internal indices. In order to address these More >

  • Open Access

    ARTICLE

    Dephosphorylated mutations affect the protein-protein interactions of ERF in Populus simonii x P. nigra

    Yao SUN, Yao LI, Xin SUN, Qiong WU, Lei WANG*

    BIOCELL, Vol.44, No.1, pp. 117-126, 2020, DOI:10.32604/biocell.2020.08242 - 01 March 2020

    Abstract Phosphorylation is a common type of post-translational modification (PTM). It plays a vital role in many cellular processes. The reversible phosphorylation and dephosphorylation affect protein structures and proteinprotein interactions. Previously, we obtained five proteins that interact with ethylene-responsive factor (ERF) from the cDNA library of Populus simonii x Populus nigra. To further investigate the effect of dephosphorylation of PsnERF on its protein binding ability, we generated different phosphorylation states of PsnERF and demonstrated their protein binding capacity by the yeast two-hybrid assay (Y2H). The secondary structures and 3D structures of PsnERF, ERFm, TrunERF, and psnerf197/198/202a were predicted More >

  • Open Access

    ARTICLE

    An Improved Whale Optimization Algorithm for Feature Selection

    Wenyan Guo1, *, Ting Liu1, Fang Dai1, Peng Xu1

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 337-354, 2020, DOI:10.32604/cmc.2020.06411

    Abstract Whale optimization algorithm (WOA) is a new population-based metaheuristic algorithm. WOA uses shrinking encircling mechanism, spiral rise, and random learning strategies to update whale’s positions. WOA has merit in terms of simple calculation and high computational accuracy, but its convergence speed is slow and it is easy to fall into the local optimal solution. In order to overcome the shortcomings, this paper integrates adaptive neighborhood and hybrid mutation strategies into whale optimization algorithms, designs the average distance from itself to other whales as an adaptive neighborhood radius, and chooses to learn from the optimal solution… More >

  • Open Access

    ARTICLE

    AACR 2019 — Congrès de l’association américaine de recherche contre le cancer

    T. Pudlarz, N. Naoun, G. Beinse, D. Grazziotin-Soares, J.-P. Lot

    Oncologie, Vol.21, No.1, pp. 53-68, 2019, DOI:10.3166/onco-2019-0036

    Abstract Dans ce numéro spécial de la revue Oncologie, les principaux points discutés au congrès de l’Association amé- ricaine pour la recherche sur le cancer (AACR) sont rapportés. L’objectif ici est de présenter de manière concise des exposés qui méritent une attention toute particulière. Le programme de la réunion de l’AACR de cette année, qui a eu lieu à Atlanta, a couvert les dernières découvertes de tout le spectre de la recherche sur le cancer — des sciences de la population à la prévention ; biologie du cancer, études translationnelles et cliniques ; à la survie… More >

  • Open Access

    ARTICLE

    Mutations du gène ESR1 : du fondamental à la clinique

    V. Massard, A. Harlé, L. Uwer, J.-L. Merlin

    Oncologie, Vol.21, No.1, pp. 29-32, 2019, DOI:10.3166/onco-2019-0027

    Abstract L’hormonorésistance acquise constitue l’un des défis majeurs dans le traitement du cancer du sein avancé exprimant le récepteur aux estrogènes (RE) et sans surexpression de HER2. Les mutations activatrices du gène ESR1 affectant le domaine de liaison du ligand ont récemment été identifiées comme l’un des principaux mécanismes de résistance aux inhibiteurs de l’aromatase (IA). Ces mutations peuvent être recherchées sur des prélèvements histologiques ou sur ADN tumoral circulant, par PCR ou séquen- çage de nouvelle génération (NGS). Elles induisent une activation constitutionnelle du RE conduisant à une résistance acquise aux IA ; le tamoxifène, le More >

  • Open Access

    ARTICLE

    A Hybrid GABC-GA Algorithm for Mechanical Design Optimization Problems

    Hui Zhi1,2, Sanyang Liu1

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 815-825, 2019, DOI:10.31209/2019.100000085

    Abstract In this paper, we proposed a hybrid algorithm, which is embedding the genetic operators in the global-best-guided artificial bee colony algorithms called GABCGA to solve the nonlinear design optimization problems. The genetic algorithm has no memory function and good at find global optimization with large probability, but the artificial bee colony algorithm not have selection, crossover and mutation operator and most significant at local search. The hybrid algorithm balances the exploration and exploitation ability further by combining the advantages of both. The experimental results of five engineering optimization and comparisons with existing approaches show that More >

  • Open Access

    ARTICLE

    Reversible Data Hiding in Encrypted Image Based on Block Classification Permutation

    Qun Mo1, Heng Yao1, Fang Cao2, Zheng Chang3, Chuan Qin1,*

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 119-133, 2019, DOI:10.32604/cmc.2019.05770

    Abstract Recently, reversible data hiding in encrypted image (RDHEI) has attracted extensive attention, which can be used in secure cloud computing and privacy protection effectively. In this paper, a novel RDHEI scheme based on block classification and permutation is proposed. Content owner first divides original image into non-overlapping blocks and then set a threshold to classify these blocks into smooth and non-smooth blocks respectively. After block classification, content owner utilizes a specific encryption method, including stream cipher encryption and block permutation to protect image content securely. For the encrypted image, data hider embeds additional secret information… More >

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