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  • Open Access


    DNA-Barcoding of Some Medicinal Plant Species in Saudi Arabia Using rbcL and matK Genes

    Abdulrahman Alasmari*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1059-1081, 2020, DOI:10.32604/phyton.2020.010952

    Abstract In the Kingdom of Saudi Arabia (KSA), thousands of plants are considered to have therapeutic value. The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources. The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification. The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal… More >

  • Open Access


    Nonlinear Time Series Analysis of Pathogenesis of COVID-19 Pandemic Spread in Saudi Arabia

    Sunil Kumar Sharma1, Shivam Bhardwaj2,*, Rashmi Bhardwaj3, Majed Alowaidi1

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 805-825, 2021, DOI:10.32604/cmc.2020.011937

    Abstract This article discusses short–term forecasting of the novel Corona Virus (COVID-19) data for infected and recovered cases using the ARIMA method for Saudi Arabia. The COVID-19 data was obtained from the Worldometer and MOH (Ministry of Health, Saudi Arabia). The data was analyzed for the period from March 2, 2020 (the first case reported) to June 15, 2020. Using ARIMA (2, 1, 0), we obtained the short forecast up to July 02, 2020. Several statistical parameters were tested for the goodness of fit to evaluate the forecasting methods. The results show that ARIMA (2, 1, 0) gave a better forecast… More >

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