New Schiff-base ligand and their polymeric metal complexes with Cr (Ш), Mn (II), Fe (II), Co (II), Ni (II) and Cu (II) ions are reported. Ligand was prepared in two-step reaction. The reaction of 2-hydroxy-5-methylisophthalaldehyde with 3-Amino-1-propanol resulted in the isolation of precursor (3, 3'-((1E, 1'E)-(propane-1, 3-diylbis (azanylylidene)) bis (methanylylidene)) bis (2-hydroxy-5-methylbenzaldehyde)). The reaction of precursor with acrylamide gave the required ligand;(N, N'-((1E, 1'E)-(((1E, 1'E)-(propane-1, 3-diylbis (azanylylidene)) bis (methanylylidene)) bis (2-hydroxy-5-methyl-3, 1-phenylene)) bis (methanylylidene)) diacrylamide) H2L. The reaction of this ligand with the appropriate metal ions gave polymeric metal complexes of the formulae {[M2 (L) Cl2]. Cl2H2O} n M= Cr (Ш),{[M2 (L)(H2O) 2]. Cl2} n M= Mn (II) Ni (II),{[M2 (L)(H2O) Cl] Cl} nM= Fe (II),{[M2 (L) Cl2]. H2O} n, M= Co (II), Cu (II). A range of …
Oral swab samples were collected from 120 children (ages between one month- 10 years) who were infected with oral thrush and 30 healthy children. The percentages of isolated yeasts and Bacteria were 66.6% and 96.6% respectively. The dominate yeast and bacteria were Candida albicans and Staphylococcus aureus with of 78.7% and 34.4% respectively. Results revealed that the highest percent of infection with oral thrush disease was 32.5% in children within the age of 1-2 months.
Face recognition, emotion recognition represent the important bases for the human machine interaction. To recognize the person’s emotion and face, different algorithms are developed and tested. In this paper, an enhancement face and emotion recognition algorithm is implemented based on deep learning neural networks. Universal database and personal image had been used to test the proposed algorithm. Python language programming had been used to implement the proposed algorithm.
Lithology identification plays a crucial role in reservoir characteristics, as it directly influences petrophysical evaluations and informs decisions on permeable zone detection, hydrocarbon reserve estimation, and production optimization. This paper aims to identify lithology and minerals composition within the Mishrif Formation of the Ratawi Oilfield using well log data from five open hole logs of wells RT-2, RT-4, RT-5, RT-6, and RT-42. At this step, the logging lithology identification tasks often involve constructing a lithology identification model based on the assumption that the log data are interconnected. Lithology and minerals were identified using three empirical methods: Neutron-Density cross plots for lithology id
... Show MoreAbstract The Synthesis in good yields of some new 1,8-Naphthyridine derivatives (1-9) and characterized on the basis of IR and 1H NMR spectra data. The compounds (1) and (6) were utilized as a starting material for the preparing of these compounds.
Liquid electrodes of domperidone maleate (DOMP) imprinted polymer were synthesis based on precipitation polymerization mechanism. The molecularly imprinted (MIP) and non-imprinted (NIP) polymers were synthesized using DOMP as a template. By methyl methacrylate (MMA) as monomer, N,Nmethylenebisacrylamide (NMAA) and ethylene glycol dimethacrylate (EGDMA) as cross-linkers and benzoyl peroxide (BP) as an initiator. The molecularly imprinted membranes were synthesis using acetophenone (APH), di-butyl sabacate (DBS), Di octylphthalate (DOPH) and triolyl phosphate (TP)as plasticizers in PVC matrix. The slopes and limit of detection of l
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