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Phytochemical, antibacterial and antioxidant activities of Capparis spinosa L. Cultivated in Iraq
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The Capparis spinosa L. is a species has a great interest in the field of traditional medicine for its pharmacological properties with many bioactive compounds. Our study is aiming at the recovery of this species through a phytochemical analysis and an evaluation of antibacterial and antioxidant activities of leaves of Capparis spinosa L. collected from natural habitats within the region of Al-Jadriya, Baghdad, Iraq. Phytochemical investigation demonstrated the presence of flavonoids, phenols, alkaloids, tannins, and glycosides in the methanolic extract of leaves. The quantitative analysis of total phenolic contents is being performed by Folin-Ciocalteau method and expressed in terms of gallic acid equivalents. C. spinosa exhibited progressive phenolic content in methanolic extract which was 21.62, 24.81 and 29.54 mg/g in concentration 8, 10 and 12 mg/ml, respectively. The antioxidant activity is determined by the DPPH test, showed that the radical scavenging capacity (EC50) of methanolic extract was found to be (7.1 mg/ml), while the (EC50) of vitamin C and BHT was (1 and 1.4 mg/ml) respectively. The antibacterial activity evaluated against pathogenic strains such as Staphylococcus aureus, Klebsiella pneumoniae, Escherichia coli and Pseudomonas aeruginosa revealed the effectiveness of methanolic extract against the most tested isolates at 100 mg/ml while P. aeruginosa exhibited resistance against extract. Minimal inhibitory concentrations (MICs) results revealed the activity of methanolic extract against S. aureus at 75 mg/ml, while the MIC of P. aeruginosa reached to 250 mg/ml. On the basis of the above findings, it can be concluded that C. spinosa possesses obvious antioxidant and antimicrobial potential can be used as a natural medicinal agent.

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Publication Date
Sat Dec 30 2023
Journal Name
Journal Of Economics And Administrative Sciences
The Cluster Analysis by Using Nonparametric Cubic B-Spline Modeling for Longitudinal Data
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Longitudinal data is becoming increasingly common, especially in the medical and economic fields, and various methods have been analyzed and developed to analyze this type of data.

In this research, the focus was on compiling and analyzing this data, as cluster analysis plays an important role in identifying and grouping co-expressed subfiles over time and employing them on the nonparametric smoothing cubic B-spline model, which is characterized by providing continuous first and second derivatives, resulting in a smoother curve with fewer abrupt changes in slope. It is also more flexible and can pick up on more complex patterns and fluctuations in the data.

The longitudinal balanced data profile was compiled into subgroup

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Publication Date
Tue Jan 18 2022
Journal Name
Materials Science Forum
The Effect of Gamma Radiation on the Manufactured HgBa<sub>2</sub>Ca<sub>2</sub>Cu<sub>2.4</sub>Ag<sub>0.6</sub>O<sub>8+δ</sub> Compound
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In this article four samples of HgBa2Ca2Cu2.4Ag0.6O8+δ were prepared and irradiated with different doses of gamma radiation 6, 8 and 10 Mrad. The effects of gamma irradiation on structure of HgBa2Ca2Cu2.4Ag0.6O8+δ samples were characterized using X-ray diffraction. It was concluded that there effect on structure by gamma irradiation. Scherrer, crystallization, and Williamson equations were applied based on the X-ray diffraction diagram and for all gamma doses, to calculate crystal size, strain, and degree of crystallinity. I

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