During this paper, new Schiff's base derivatives [F₁-F₅] were prepared through the reaction of dapsone drug with different substituted benzaldehyde compounds. Schiff's bases were then converted into 2,3-dihyroquinazolin-4(1H)-one derivatives [F₆-F₁₀] through the reaction with 2-amino benzoic acid in ethanol. The synthesized compounds were identified by their physical properties using UV-Vis, FT-IR and ¹H-NMR analyses. The liquid crystalline properties of some prepared compounds revealed smectic and nematic phases. Using two separate bacterial species, Pseudomonas aeruginosa (Gram -ve) and Staphylococcus  aureus<

The adsorption behavior of Bismarck brown (BB) dye from aqueous solutions onto graphene oxide GO and graphene oxide-g-poly (n-butyl methacrylate-co-methacrylic acid) GO-g-pBCM as adsorbents was investigated. The prepared GO and GO-g-pBCM were characterized by Fourier transform infrared spectroscopy FTIR, which confirmed the compositions of the prepared adsorbents. Adsorption of BB dye onto GO and GO-g-pBCM was explored in a series of batch experiments under various conditions. The data were examined utilizing Langmuir and Freundlich isotherms. The Langmuir isotherm was seen as increasingly reasonable from the experimental information of dye on formulating adsorbents. Kinetic investigations showed that the experimental data were fitted ve

This paper investigates the performance evaluation of two state feedback controllers, Pole Placement (PP) and Linear Quadratic Regulator (LQR). The two controllers are designed for a Mass-Spring-Damper (MSD) system found in numerous applications to stabilize the MSD system performance and minimize the position tracking error of the system output. The state space model of the MSD system is first developed. Then, two meta-heuristic optimizations, Simulated Annealing (SA) optimization and Ant Colony (AC) optimization are utilized to optimize feedback gains matrix K of the PP and the weighting matrices Q and R of the LQR to make the MSD system reach stabilization and reduce the oscillation of the response. The Matlab softwar

The single-particle level densities for Th 232
90 , at certain exciton number, are
calculated in terms of Equidistant Space Model, ESM, and NON-ESM, of Fermi
Gas Model. It is found that the single particle level density, g, has no longer a
constant value and becomes an energy dependent on the contrary with NON-ESM.
The finite depth of the nuclear well and pairing corrections are examined with
behavior of the single level density for both models. The particle-hole state density
has been calculated, by means of the energy dependence of excited particles and
hole level densities, for one and two fermions systems and different exciton number
in Th 232
90 . The present results are compared between two models with

Followers and their followers (may Allah be pleased with them all) followed the approach of the guidance and the Sunnah of the Messenger of Allah Muhammad (peace be upon him) in the collection and codification of the hadith of the Prophet Muhammad in various Arab and Islamic areas. Subsequent judge Faqih Abu Bakr al-Ansari had a distinct effect during that time immortalized in the pages of our Islamic history in preserving the Sunnah of our great Prophet Muhammad (PBUH) and documenting the constants of Sharia and Islamic jurisprudence and its importance in the activity of intellectual and scientific movement in the Arab Islamic State.

Chemical pollution is a very important issue that people suffer from and it often affects the nature of health of society and the future of the health of future generations. Consequently, it must be considered in order to discover suitable models and find descriptions to predict the performance of it in the forthcoming years. Chemical pollution data in Iraq take a great scope and manifold sources and kinds, which brands it as Big Data that need to be studied using novel statistical methods. The research object on using Proposed Nonparametric Procedure NP Method to develop an (OCMT) test procedure to estimate parameters of linear regression model with large size of data (Big Data) which comprises many indicators associated with chemi