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ANATOMICAL STUDY OF SOME SPECIES BELONGING TO THE PAPAVERACEAE FAMILY IN NORTH OF IRAQ
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    The anatomical features of leaves and stems of seven species belonging to five genera of the Papaveraceae family were studied, including: Fumaria bracteosa Pomel, 1875; Glaucium grandiflorum Boissier & A. Huet,1856; Hypecoum pendulum Linnaeus, 1753; Papaver fugax Poiret,1804; Papaver macrostomum Boissier & A. Huet, 1867; Papaver rhoeas Linnaeus, 1753 and Roemeria refracta de Candolle,1821. The results showed that the anticlinal cell walls of the adaxial surface were more thickened in P. fugax, H. pendulum, P. macrostomum and R.refracta, while it was thin in P. rhoeas. The current investigation finds three types of the stomata (i.e., anomocytic, paracytic and hemiparacytic), and the number of stomata on the adaxial epidermis ranged between 22.11 stomata mm2 in P. rhoeas and 69.30 stomata/mm2 in P. fugax; the stomatal index percentage on the adaxial surface was 15.04% in P. macrostomum and 4.14% in P. rhoeas.

 

    The type of the mesophyll was bifacial (dorsiventral) in structure for the species. Stems gave a good character in separation of the species; shape and size of cortex cells, and the numbers of cortex layers were taxonomically significant. The observations of this study showed six types of trichomes that were non-glandular biseriated, triseriated or multiseriated, unicellular with multicellular short hairs and finally uniseriate long hairs (in G. grandiflorum). P. rhoeas recognized by found glandular short hairs.

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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