Purpose:  Providing practical knowledge of the requirements of a detailed feasibility study for selecting the investment project.

Findings:  Directing the private sector towards investing in productive projects - the pre-cast reinforced concrete project - as it achieves a financial return as well as providing Providing foreign currencies by reducing imports and exploiting available natural resources

Practical implications: The importance of a detailed feasibility study to determining whether the project can be implemented or not.

The precast concrete method is one of the best modern c

MixedØ¢  catechol- Ø¢ salicyladiminenate derivatives of antimony

(III) and tin (IV) of the general formula M(cate)L"]X, [where:M= Sb, X= Ø¢ 0; Ø¢ M=Sn, Ø¢ X= Ø¢ Cl; Ø¢ cate=catechol; Ø¢ n=l, Ø¢ L=aniline, Ø¢ n=2, Ø¢ L=mآ­ bromo-aniline, n=3, L=p-bromoaniline] were prepared by the reaction of equimolar amount of [(cate)MCln], [where n=l Ø¢ or 2] with Nآ­ arylsalicylaldimines HOC6H4CH=NC6Hs (HL1Ø¢  , HOC6H4CH= NC6H4

the physical paraneters of oxadizole derivaties as donor molecules have been measured the charge transfer and methanol as solvent have been estimated from the electonic spectra

Breast cancer is the most repeatedly detected cancer category and the second reason cause of cancer-linked deaths among women worldwide. Tumor bio-indictor is a term utilized to describe possible indicators for carcinoma diagnosis, development and progression. The goal of this study is to evaluate part of some cytokines and biomarkers for both serum and saliva samples in breast cancer then estimate their potential value in the early diagnosis of breast cancer by doing more researches in saliva, and utilizing saliva instead of blood (serum and plasma) in sample collection from patients. Serum and salivary samples were taken from 72 patients with breast cancer and 45 healthy controls, in order to investigate the following

This paper describes a number of new interleaving strategies based on the golden section. The new interleavers are called golden relative prime interleavers, golden interleavers, and dithered golden interleavers. The latter two approaches involve sorting a real-valued vector derived from the golden section. Random and so-called “spread” interleavers are also considered. Turbo-code performance results are presented and compared for the various interleaving strategies. Of the interleavers considered, the dithered golden interleaver typically provides the best performance, especially for low code rates and large block sizes. The golden relative prime interleaver is shown to work surprisingly well for high puncture rates. These interleav

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

The aim of this study is to synthesize an easy, non-toxic and eco-friendly method. Silver nanoparticles which were synthesized by leaf extract of mint were characterized by UV-Visible Spectroscopy which appears UVVisible spectrum of demonstrated a peak 448 nm corresponding to surface Plasmon resonance of silver nanoparticles, Fourier Transform Infrared Spectroscopy (FTIR); functional groups involved in the silver nanoparticles synthesis were identified, the presence of silver nanoparticles was confirmed by X-ray diffraction (XRD) and Atomic Force Microscope (AFM) analysis clearly illustrated that the shape of silver nanoparticles was spherical and the size of the silver nanoparticles has been measured as 55- 85 nm. Evaluation of its antimic

Leishmaniasis is a worldwide disease still treated with expensive compounds that present severe side effects, and are frequently ineffective emphasizing the importance to search effective compounds against this disease. Miltefosine drug (HePC) that used as antitumor agent has been used against Leishmania tropica in two forms promastigote and axenic amastigote in vitro conditions. Different concentrations (5, 10, 15, 20, 25 and 30 μM) of HePC were performed and exposed to both parasite forms in comparison to sodium stibogluconate (Sb) drug. Parasites viability then was determined using MTT assay after 12, 24, and 48hr of exposure. DNA was extracted from treated and untreated parasites after 48hr of exposure and qualitative analysis of th

In  this  work,  three  inorganic  additives were 1,1sed,  these  are  (I)  ;

tetraethyl ammonium bromodichloro phenylphsphin, (II) Chlorinated paraffine. and (ITI) a mixture  of  (50%  by weight  of each) to study the synergetic effect.  These  additives \'v·cre used  as flame retardants with unsaturated  polyester  and  epoxy  resins.;, since  these  resins  are industrially important  and of \Vide uses in life.

Results showed efficiency of these  additives to retard  fl mmabillty and stop burning of resins throqght the ASTM tests used Measurement of Limiting oxygen  index (LOI), &nbs