The purpose of my thesis is to prepare four new ligands (L1-L4) that have been used to prepare a series of metal complexes by reacting them with metal ions: M=(Mn(II), Co(II), Ni(II), Cu(II), Zn(II), Cd(II), Hg(II) Where succinyl chloride was used as a raw material for the preparation of bi-dented ligands (L1-L4) by reacting it with potassium thiocyanate as a first step and then reacting with (2-aminobenzothiazole, Benzylamine, 4-aminoantipyrine, Sulfamethoxazole) respectively as a second step with the use of dry acetone as a solvent, the chemical formula of the four ligands prepared in succession: N1,N4-bis(benzo[d]thiazol-2-ylcarbamothioyl)succinamide (L1) N1,N4-bis(benzylcarbamothioyl)succinamide (L2) N1,N4-bis((1,5-dimethyl-3-oxo-2-phenyl-2,3-dihydro-1H-pyrazol-4-yl) carbamothioyl)succinamide (L3) N1,N4-bis((4-(N-(5-methylisoxazol-3-yl)sulfamoyl) phenyl) carbamo thioyl) succinamide (L4) The new ligands were identified using spectroscopic measurements that included (FT-IR spectra, UV-Vis spectra, and nuclear magnetic resonance (1H, 13CNMR) spectra, mass spectra, elemental analysis (C.H.N.S), and thermal analysis (TGA&DSC), as the results of the measurements proved to be identical to the proposed molecular formula for these ligands. A series of metal complexes for ligands was also prepared, which included seven complexes for each ligand, by adding each of the metal ions to the four ligands prepared in succession to produce the following molecular formulas: - [M2(L)Cl4] , L= L1, L2, L3, L4 (M= Mn(II), Co(II), Ni(II), Cu(II), Zn(II), Cd(II), Hg(II)) The prepared complexes were diagnosed by several techniques, including the study of the infrared spectra of the prepared complexes, and when comparing those spectra with the spectra of each of the four ligands prepared in the free form, these gave clear changes, including the emergence of a new band within the fingerprint area. It was not originally present in the spectra of ligands in their free form, and this is due to the occurrence of coordination between the metal ions under study and the donor atoms, which are the oxygen atom of the (C=O) group, and the sulfur atom of the (C=S) group in the ligands. (L1-L4), while other distinct bands were obtained with clear changes in shape, intensity, and location, and this is an indication of the occurrence of a coordination process between the metal ions under study and the four prepared ligands. The percentage of metal ions in the prepared complexes was determined by flame atomic absorption spectrometry, where it was shown from the careful analysis of the elements the great agreement between the percentages calculated theoretically and obtained practically. The magnetic sensitivity results showed that some of the prepared metallic complexes have paramagnetic properties. The measurements of the molar conductivity of the prepared complexes dissolved in DMSO at a concentration of 1×10-3 M and at the laboratory temperature showed that they are of a non-electrolytic nature. The prepared complexes were also studied through solubility, melting point, and ultraviolet-visible techniques, and through the data of all the aforementioned techniques, structural formulas were proposed for the prepared complexes, through which it was found that the prepared ligands are bivalve chelating ligands that lead to their participation as ligand into complexes with a tetrahedral geometric shape for all metallic complexes under study. The research included a study evaluating the antioxidant activity of some selected metal complexes by studying the amount of radical scavenging of DPPH* compared to ascorbic acid as an antioxidant reference agent. The zinc complex showed higher activity than the nickel complex compared to standard ascorbic acid. The [Cu2(L1)Cl4] and [Co2(L1)Cl4] complexes were also tested as antibodies to inhibit the breast cancer cell line (MCF-7) and compared with the normal cell line (HdFn), where the copper complex showed the ability to inhibit the cancerous cell line compared with the cobalt complex. The molecular binding of ligands (L3) and (L4) was also studied, and their possibility of using them as drugs in the treatment of some diseases, where the ligand L3 showed better association with the active site of the enzyme than the ligand L4, and is expected to highest antimicrobial effect. Finally, the biological effect of the prepared ligands and some of their complexes on the growth of two types of bacteria, Escherichia coli and Staphylococcus aureus, was studied using DMSO solvent, where the complexes showed greater activity than the ligands against the selected types of bacteria.
The research aims to identify decent work and its impact in enhancing job immersion. The questionnaire was adopted as a tool to analyze the sample responses of (81) workers to represent an estimated response rate of (88 per cent) out of the total population of (92) individuals. The research adopted descriptive-analytical approach, and reliability calculation, arithmetic means standard deviations, relative importance, and regression analysis adopted on SPSS v.25. The conclusion shows that there is a medium correlation between decent work and job immersion, and there is a low impact of decent work with its dimensions in job immersion; extract the most important acceptable components for job from the sample point of view about the o
... Show More
(1)
(18)
(15)
With the World Health Organization reporting over 30,000 deaths and 200,000 to 400,000 new cases annually, visceral leishmaniasis is a serious disease affecting some of the world's poorest people. As drug resistance continues to rise, there is a huge unmet need to improve treatment. Miltefosine remains one of the main treatments for leishmaniasis, yet its mode of action (MoA) is still unknown. Understanding the MoA of this drug and parasite response to treatment could help pave the way for new and more successful treatments for leishmaniasis. A novel method has been devised to study the metabolome and lipidome of
(34)
(35)
(144)
(141)
(37)
(36)
Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s
... Show More
(4)
(3)
Anemia in pregnancy can considerably elevate the maternal mortality risk and can negatively distress the development of fetus.
To assess the association between neonatal outcomes and maternal anemia (MA) among pregnant women (PW).
The present work is a clinical prospective one performed at Al-Elwiya Maternity
(1)
(2)
(35)
(34)
<span lang="EN-US">The need for robotics systems has become an urgent necessity in various fields, especially in video surveillance and live broadcasting systems. The main goal of this work is to design and implement a rover robotic monitoring system based on raspberry pi 4 model B to control this overall system and display a live video by using a webcam (USB camera) as well as using you only look once algorithm-version five (YOLOv5) to detect, recognize and display objects in real-time. This deep learning algorithm is highly accurate and fast and is implemented by Python, OpenCV, PyTorch codes and the Context Object Detection Task (COCO) 2020 dataset. This robot can move in all directions and in different places especially in
... Show More
(12)
(4)