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Cr (III), Fe (III), Co (II) and Cu(II)Metal ions Complexes with Azo Compound Derived from 2-hydroxy Quinoline Synthesis, Characterization, Thermal Study and Antioxidant Activity
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Azo-ligand-(HL) ([4- ((2-hydroxyquinolin-3-yl) diazenyl) -N- (5-methylisoxazol-3yl) benzenesulfonamide]), (2- hydroxy quinolin derivative),reacts with the next metal ions (Cr (III), Fe (III),Co (II) and Cu(II)) forming stable complexes with unique geometries such as(tetrahedral for bothCo (II) and Cu (II), octahedral for both Cr (III) and Fe (III)). The creation of such complexes was detected by employing spectroscopic means involving ultraviolet-visible which proved the obtained geometries, Fourier transfer proved the involvement of coordinated water molecule in all complexes besides the pyrolysis (TGA & DSC) studies proved the coordination of water residues with metal ions inside the coordination sphere as well as chlorine atoms. Moreover element-micro-analysis and AAS that gave corresponding outcome with theoretically counting outcome. Magnetic quantification scan also indicates the unique geometries of complexes. The degradation of reactive oxygen entities for the compounds were estimated toward (DPPH-radical then matched to the standard-natural antioxidant, Gallic acid. The incomes display good radical degradations-activities.The lower IC50 value, the higher antioxidant activity. Depending on this conception, the order of our compounds besides Azo-species-HL is as follows: (G_A<[Co(L)(H2O)Cl]> [Cr(L)(H2O)Cl]> [Fe(L)(H2O)2Cl2]> [Cu(L)(H2O)Cl]).

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
Wed Dec 01 2021
Journal Name
Structures
The effect of ground motion characteristics on the fragility analysis of reinforced concrete frame buildings in Australia
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