Conducted two trials separate plants Defla first two seasons, 1998 and 1999 to test the susceptibility Altgveria three varieties including Azharha colored white and pink Qati and pink Qtmr and second seasons 1999 and 2000, two types color Azhaarhama white and pink Qati treated mind half-timbered two types of Alaoxinat IBA and NAA and three concentrations as well as repeatersAdhrt results low Almaah rooting

The ability of microorganisms to attach to living and non-living surfaces and create a biofilm is the cause of numerous long-lasting illnesses, as well as their strong resistance to drugs. Bacterial biofilms consist of intricate assemblies of immobile bacteria. These are located in an extracellular matrix and adhere to various surfaces for a long period. The present study evaluated the antibacterial effectiveness of Plantago major extract against Staphylococcus aureus biofilm. The specimens analyzed in this investigation were skin infections of clinical origin. The current study was not previously studied, particularly in terms of S. aureus biofilm breakdown and inhibition. The disc diffusion method was used to test the antimicrobial activi

The ability of microorganisms to attach to living and non-living surfaces and create a biofilm is the cause of numerous long-lasting illnesses, as well as their strong resistance to drugs. Bacterial biofilms consist of intricate assemblies of immobile bacteria. These are located in an extracellular matrix and adhere to various surfaces for a long period. The present study evaluated the antibacterial effectiveness of Plantago major extract against Staphylococcus aureus biofilm. The specimens analyzed in this investigation were skin infections of clinical origin. The current study was not previously studied, particularly in terms of S. aureus biofilm breakdown and inhibition. The disc diffusion method was used to test the antimicrobial activi

Understanding of in-situ stress profiles and orientations plays a vital role in designing a successful hydraulic fracturing treatment. This paper is an attempet to examine the effect of lithology and in situ stress on geometery of hydraulic fractures. A hydraulic fracturing design simulator software called FracproPT with various capabilities for designing most of hydraulic fracture was used for  simulate and optimize the hydraulic fracturing. For studying purpose,  three different cases of stress gradient contrast between different formations  are considered in this study (0.4, 0.5 and 0.75 psi/ft). The results obtained from the simulator showed that  lithologies surrounding the pay zone have an effect on the fracture

The present study deals with the effect of teaching speaking Strategies (SS) on
EFL Iraqi College students. The use of speaking strategies not only solves learners’
communication problems, but also enhances the learner’s interaction in target language,
and improves their oral proficiency .The aim of the study is to find out the effect of
teaching SS used by EFL College students .The learner of the first stage is population of
the study at the Department of English, College of Education /Ibn-Rushd .The sample
consists of (60) students distributed on experimental group(A) as well as control
group(B) each group contains (30) students . In order to achieve the aim of the study,
questionnaire has been constructed t

In this research, the effect of changing the flood level of Al-Shuwaija marsh was studied using the geographic information systems, specifically the QGIS program, and the STRM digital elevation model with a spatial analysis accuracy of 28 meters, was used to study the marsh. The hydraulic factors that characterize the marsh and affecting on the flooding such as the ranks of the water channels feeding the marsh and the degree of slope and flat areas in it are studied. The area of immersion water, the mean depth, and the accumulated water volume are calculated for each immersion level, thereby, this study finds the safe immersion level for this marsh was determined.

The interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm