The synthesis of a new tridentate Schiff-base ligand and its metal complexes are reported. The reaction of ((2R)-4-methyl-2-((S)-(phenylamino)(p-tolyl) methyl) cyclohexan-1-one) with semicarbazide in a 1: 1 mole ratio resulted in the formation of the title ligand ((E)-2-((2S)-4-methyl-2-((R)(phenylamino)(ptolyl) methyl) cyclohexylidene) hydrazine-1-carboxamide)((HL). The reaction of the ligand with Co (II) and Ni (II), Cu (II), Zn (II) and Cd (II) ions in a 1: 1 (L: M) mole ratio gave the title complexes. Physico-chemical techniques were implemented, as required, to characterise the ligand and complexes. These include; elemental microanalysis, 1H, 13C-NMR and mass spectra, FT-IR and electronic spectra, magnetic susceptibility and conductance. These analyses revealed the isolation of octahedral, square planar and tetrahedral geometry about Co (II) and Cu (II); Ni (II); and (Zn (II), Cd (II)) ions, respectively. Thermal stability (TGA-DSC) of the ligand and selected complexes were also investigated. The antimicrobial activity of the ligand and its complexes against several bacterial strains and fungi species were examined. The collected data indicated that the complexes are more active against several kinds of organisms, under survey, compared with the free ligand.
Abstract
This research aims to analyze the reality of the production process in an assembly line Cars (RUNNA) in the public company for the automotive industry / Alexandria through the use of some Lean production tools, and data were collected through permanence in the company to identify the problems of the line in order to find appropriate to adopt some Lean production tools solutions, and results showed the presence of Lead time in some stations, which is reflected on the customer's waiting time to get the car, as well as some of the problems existing in the car produced such as high temperature of the car, as the company does not take into account customer preferences,
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Material Requirements Planning System (MRP) is considered as one of the planning and controlling of production and inventory systems which is used to prepare plan of the final production requirements and its parts of subcomponents raw materials and the time at which it was needed for the purpose of preparing orders of production and purchase.
The problem of the present work is represented in the general company of electrical industrialization adoption of traditional methods and personal experience of the process of the products and\or purchase quantity and inventory quantities and limiting the required time for acquiring the required quantities of the materials and parts used in the finish product of the
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This paper presents a comparative study of two learning algorithms for the nonlinear PID neural trajectory tracking controller for mobile robot in order to follow a pre-defined path. As simple and fast tuning technique, genetic and particle swarm optimization algorithms are used to tune the nonlinear PID neural controller's parameters to find the best velocities control actions of the right wheel and left wheel for the real mobile robot. Polywog wavelet activation function is used in the structure of the nonlinear PID neural controller. Simulation results (Matlab) and experimental work (LabVIEW) show that the proposed nonlinear PID controller with PSO
learning algorithm is more effective and robust than genetic learning algorithm; thi
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Objective. This study aimed to evaluate the orthodontic bond strength and enamel-preserving ability of a hydroxyapatite nanoparticles-containingself-etch system following exposure to various ageing methods. Materials and Methods. Hydroxyapatite nanoparticles (nHAp) were incorporated into an orthodontic self-etch primer (SEP, Transbond™ plus) in three different concentrations (5%, 7%, and 9% wt) and tested versus the plain SEP (control) for shear bond strength (SBS), adhesive remnant index (ARI) scores, and enamel damage in range-finding experiments using premolar teeth. The best-performing formulation was further exposed to the following four artificial ageing methods: initial debonding, 24 h water storage, one-month water stora
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This research a study model of linear regression problem of autocorrelation of random error is spread when a normal distribution as used in linear regression analysis for relationship between variables and through this relationship can predict the value of a variable with the values of other variables, and was comparing methods (method of least squares, method of the average un-weighted, Thiel method and Laplace method) using the mean square error (MSE) boxes and simulation and the study included fore sizes of samples (15, 30, 60, 100). The results showed that the least-squares method is best, applying the fore methods of buckwheat production data and the cultivated area of the provinces of Iraq for years (2010), (2011), (2012),
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