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SYNTHESIS, CHARACTERIZATION, AND THERMAL STUDYING OF Cr(III), Co(II), Fe(III) Mo(VI), Ru (III) and Rh(III) COMPLEXES WITH AZO DYE AND EVALUATION AS ANTIOXIDANT AND ANTICANCER
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Complexes of the Cr(III), Fe(III), Rh(III), Ru (III), Mo hexagonal valence and Co(II) were prepared using the azo dye 1,1'-(1,3-phenylene bis(diazene-2,1-diyl))bis(2,4,6-trihydroxy-3,1-phenylene))bis(ethan-1-one), which was prepared newly from diazonium salt with 2,4,6-trihydroxyacetophenone, after isolation. The compounds were characterized using proton and carbon nuclear magnetic resonance of the ligand and fine elemental analysis, infrared, ultraviolet-visible, mass measurement, thermogravimetric analysis, differential thermal scanning, metal percentage determination, chlorine content determination, magnetic susceptibility, and molar conductivity. The results showed that the tetra coordinated anionic bond, when linked to metal ions via the two phenolic oxygen atoms and the two azo nitrogen atoms, gave octahedral mononuclear complexes for all the complexes. With the exception of cobalt, where the complex was a tetrahedral dinuclear and the ligand was hexadentate when linked via the two phenolic oxygen atoms, the two carbonyl oxygen atoms, and the two azo nitrogen atoms. The potential of the prepared compounds as antioxidants and their ability to suppress free radicals were also studied, and some compounds were identified for evaluation of their anticancer effectiveness. The potential of the prepared compounds as antioxidants and their ability to suppress free radicals were also studied, and some compounds were identified for evaluation of their anticancer activity against MCF-7 cells

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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