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A STUDY OF PHYSICAL AND ANATOMICAL CHARACTERISTICS OF THE HEAVY METAL ACCUMULATION OF JUNCUS RIGIDUS DESFONTAINES, 1798 (FAMILY, JUNCACEAE) IN BASRAH PROVINCE, SOUTHEREN OF IRAQ
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This study was carried out to determine the heavy metal accumulation of Juncus rigidus Desfontaines, 1798 from three different regions of the Basrah Province in Southern of Iraq. Specifically, the concentrations of lead, nickel, and cadmium were determined in the roots, culms and leaves of the plant. The results indicated that the highest accumulation of the heavy metal was recorded in lead (Pb) 12.50± 3.58 mg kg-1and then in nickel (< 0.30). The lowest value was recorded for cadmium (< 0.05). As well, lead concentrations in J. rigidus varied in different locations and parts of the plant from undetectable in control to 12.66, 19.33, and 9.80 mg kg-1 in leaves, culm, and roots respectively from Station 2, and 10.76, 12.66, and 9.50 mg kg-1 in Station 3. The values of translocation factor (TF), bioconcentration factor (BCF), and Biological Accumulation Coefficient (BAC) were greater than>1 used to the ability of J. rigidus for both phytoextraction and phytostabilization.

   The anatomical analysis showed that heavy metal accumulation in plant tissues led to a reduction in root and culm thickness; in polluted area it has been found that cortex and intercellular spaces in aerenchyma layers were deceased in size, whereas high pollution levels were observed in vascular bundles, which were smaller, and had increased sclerenchyma, as well as appeared more black or dark color compared to the specimens grown in the control area

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Wed Nov 13 2019
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Wir konzentrieren uns in diesem Beitrag auf eine wichtige sprachliche Fertigkeit, die den rezeptiven Fertigkeiten gehört, die ist das Hörverstehen.

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Political translation is the focus here. There are many general problems faced by translators when translating political texts from Arabic into Spanish. The aim here is to clarify the definition of functions or terms within the text, and to arrive at the correct from of translation of such texts from Spanish into Arabic.  It is worth mentioning that the paper is of two parts: the first exemplifies what is meant by translation, the prerequisites of a translator, along with mentioning the methods followed&nbs

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Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date.  A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s

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