The two body model of (Core+n) within the radial wave functions of the cosh potential has been used to investigate the ground state features such as the proton, neutron and matter densities, the root mean square (RMS) nuclear proton, neutron, charge and mass radii of unstable neutron-rich 14B, 15C, 19C and 22N nuclei. The calculated results show that the two body model with the radial wave functions of the cosh potential succeeds in reproducing neutron halo in these nuclei.

ABSTRACT

        The research aim is to determine the relation between governmental consumption expenditure (GCE) & GDP in Iraq for the period 1981-2006.

The research has determined the scale of optimization for (GCE) & try to know the extent productivity of this expenditure and using the long run &short run model to test .The results clarify the following

1-The marginal productivity for the (GCE) is positive so it is productive.

2-The (GCE) in Iraq is too high because the marginal productivity for the expenditure less than 1.

3- The (GCE) percentage to GNP is

Experimental model was done for pile model of L / D = 25 installed into a laminar shear box contains different saturation soil densities (loose and dense sand) to evaluate the variation of pore water pressure before and after apply seismic loading. Two pore water pressure transducers placed at position near the middle and bottom of pile model to evaluate the pore water pressure during pullout tests. Seismic loading applied by uniaxial shaking table device, while the pullout tests were conducted through pullout device. The results of changing pore water pressure showed that the variation of pore water pressure near the bottom of pile is more than variation near the middle of pile in all tests. The variation of pore water

A field experiment was carried out in the province of Najaf - al ashraf using two types of blue-green algae( Anabaena circinalis and Oscillaoria lymentica) which have been isolated and diagnosed in the laboratories of the department of plant protection / ministry of agriculture in Iraq with the compost( palm fronds ) manufacturer locally and by 1 ml : 10 g of organic matter within one month of cuddling and using a single level of humidity is 1 : 2 (water : organic matter). Randomized complete block design RCBD to see the effect of use it as a single or mix in the productivity of rice crop Yasamin cultivar where it was noted that it is equipped with a dynamic composting of organic matter leads to the analysis of organic material and incre

The study aimed to evaluate whether Enalapril has any effects on the testicular tissue of the albino male mice which received or did not receive treatment with Enalapril.

Mature mice were divided into three groups: control group which fed with 0.1mg of normal saline, the second group was orally fed with 10 mg/Kg of Enalapril drug while the third group was fed with 20 mg/Kg of drug, one time a day for 30 successive days by using gavage tube (0.1ml).  The histological sections were performed and the slides were examined using the light microscope.

 The present study result of light microscopic images of mice testes cross sections which treated with 20 mg/Kg of Enalapril showed coagulated necrosis on spermatogonia

       Iraq is a developing country with a high population. In Iraq, heavy metal and metalloid contamination has resulted from both industrialisation and environmental sources, providing serious health risks to the local population. We conducted one of the most comprehensive analyses on the current state of Iraq's heavy metal and metalloid pollution in this paper, which included water, soil, paddy, and rice. A study was carried out to determine the concentration of heavy metals including Lead (Pb), Cadmium (Cd), Iron (Fe), manganese (Mn), Cobalt (Co), Magnesium (Mg), Aluminum (Al), and Copper (Cu) of 39 irrigation water samples, 75 soil samples, 75 paddy samples, and 75 rice samples in two Iraqi governorates (Diyala , and Salah al-

Amputation of the upper limb significantly hinders the ability of patients to perform activities of daily living. To address this challenge, this paper introduces a novel approach that combines non-invasive methods, specifically Electroencephalography (EEG) and Electromyography (EMG) signals, with advanced machine learning techniques to recognize upper limb movements. The objective is to improve the control and functionality of prosthetic upper limbs through effective pattern recognition. The proposed methodology involves the fusion of EMG and EEG signals, which are processed using time-frequency domain feature extraction techniques. This enables the classification of seven distinct hand and wrist movements. The experiments conducte