This paper presents a new Azo dye that was prepared from the reaction of the Benzene-1,2-diamine and 1-(2,4,6-Trihydroxy-phenyl)-ethanone, Azo dye was used to prepare a new series of complexes with general formula: [Co2(H4L) Cl2(H2O)4] and [M2(H4L)Cl4(H2O)2] (M= Cr+3, Fe+3,Rh+3 and Ru+3). The prepared materials were different measurements including to infrared, ultraviolet-visible, and mass spectrometry, as well as thermo gravimetric analysis, differential calorimetry, and elemental analysis. Conductivity, magnetic susceptibility, metal content, and chlorine content of the complexes were also assessed. The complexes prepared from the dye were used to determine their ability to inhibit free radicals by measuring their antioxidant capacity using DPPH as a free radical and ascorbic acid as a standard substance, and determining the IC50 value. The ability to inhibit free radicals of the compounds varied according to the IC50 value and its comparison with ascorbic acid. The ligand gave the highest ability to inhibit free radicals compared to the rest of the compounds The results are as follows (Ligand ˃Ascorbic acid ˃[Fe2(H4L)Cl4(H2O)2]˃ [Co2(H4L)Cl2(H2O)4]˃ [Ru2(H4L) Cl4(H2O)2]˃ [Rh2(H4L)Cl4(H2O)2] ˃[Cr2(H4L)Cl4(H2O)2]. The effectiveness of compounds as anticancer agents has been MCF-7 studied. Use five concentrations for each compound. The average percentage of cell survival was calculated. It has been found that the highest inhibition of cancer cells. The ligand, iron complex and cobalt complex respectively.
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
... Show MoreLongitudinal 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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