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  • Open Access

    ARTICLE

    Maternal hyperthyroidism increases the synthesis activity and the osteogenic markers expression of calvarial osteoblasts from offspring in a murine model

    FABIANA ROCHA ARAÚJO1, BRUNO MACHADO BERTASSOLI2, ISABELLA CRISTINA SOUZA FÉLIX1, DOUGLAS MARINHO ABREU1, NATáLIA MELO OCARINO1, AMANDA MARIA SENA REIS3, JUNEO FREITAS SILVA4, ROGéRIA SERAKIDES1,*

    BIOCELL, Vol.47, No.2, pp. 423-430, 2023, DOI:10.32604/biocell.2023.023689

    Abstract To evaluate the characteristics and synthesis activity of osteoblasts extracted from the calvaria of offspring of rats exposed to maternal hyperthyroidism. Twelve adult Wistar rats were divided into two groups, one control and one treated with daily administration of L-thyroxine by an orogastric tube (50 µg/animal/day) during pregnancy. Three days after delivery and confirmation of the mothers’ hyperthyroidism, the offspring were euthanized for the extraction of osteoblasts from the calvaria. At 7, 14, and 21 days, proliferation activity was assessed using MTT assay, while alkaline phosphatase (ALP) activity was assessed by the BCIP/NBT method. At 21 days, the total area… More >

  • Open Access

    ARTICLE

    Butterfly Optimized Feature Selection with Fuzzy C-Means Classifier for Thyroid Prediction

    S. J. K. Jagadeesh Kumar1, P. Parthasarathi2, Mehedi Masud3, Jehad F. Al-Amri4, Mohamed Abouhawwash5,6,*

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2909-2924, 2023, DOI:10.32604/iasc.2023.030335

    Abstract The main task of thyroid hormones is controlling the metabolism rate of humans, the development of neurons, and the significant growth of reproductive activities. In medical science, thyroid disorder will lead to creating thyroiditis and thyroid cancer. The two main thyroid disorders are hyperthyroidism and hypothyroidism. Many research works focus on the prediction of thyroid disorder. To improve the accuracy in the classification of thyroid disorder this paper proposes optimization-based feature selection by using differential evolution with the Butterfly optimization algorithm (DE-BOA). For the classifier fuzzy C-means algorithm (FCM) is used. The proposed DEBOA-FCM is evaluated with parametric metric measures… More >

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