AL-MANSOUR JOURNAL

The "Slurry Infiltrated Fiber Concrete (SIFCON)" composites can be considered as a new trend in civil engineering fields that have a motivate impact. Such composites are usually synthesized by infiltrating cement slurry with steel fibers matrix to get high level of mechanical properties. Portland cement concrete is weak in tensile and might not illustrate large tensile strains margins. Materials such as steel and pre-stressed tendons were historically used to avoid these limitations of cement. The last fifteen years. Interest has increased among using discontinuous, separated steel fibers for alternate or supplementary reinforcement. Fibers for this utilization have diameters that takes levels between 0.01 to 0.35 in. (0.25 to 0.9 mm) and lengths ranging from 0.5to 3.0 in. (12.7 to 76.2 mm). However, the principal functions of steel fibers are to enhance resistance to impact. By the means of posy cracking ductility, the cracking and mode of failure can be controlled. To increase the performance with respect to tensile strength, flexural strength as well as the fatigue strength.

Recently, the Slurry Infiltrated Mat Concrete (SIMCON) has a serious level of attention within civil engineering fields. Within such types of composites, good mechanical properties can be gained if the cement slurry was sprinkled into micro steel fibers matrix. The punching stresses were usually concentrated in a defined parameter as a column reaction against slabs loads and a brittle failure can result. The present study tires investigate the punching shear behavior of SIMCON slabs by conducting an experimental research program. The program included casting and testing of eight SIMCON slabs. The variables of this study focused on, the slab thickness, the volume fraction of micro steel fibers, the propagation nature of micro steel fibers, and the presence/absence of steel reinforcement. The results proved that the punching behavior of SIMCON slabs was more than that of normal concrete slabs. Also, it appears that when the micro steel fibers propagated in all slabs domains, the punching shear behavior was higher than the slabs that micro steel fibers located in in the critical zone of punching only due to the difference in mechanical integrity. In addition, that indicates the first cracking load may reach25.71% in 50mm slabs while it was 10% in 70mm slabs, and the ultimate load increase can reach 49% in 50mm slabs and 26.4% in 70mm slabs.

Covid-19 is a virus sweeping all countries of the world like a tornado, but in varying proportions, depending on the health awareness of the country’s population as well as the services and health care provided by the country. Despite the great scientific development in the medical field, there is no effective treatment for the virus or a vaccine that has proven to be highly effective. Therefore, countries need non-medical or clinical solutions to confront the epidemic and control its spread by understanding the behavior of a disease through the use of data mining tools. In this research paper, a k-mediod clustering algorithm was applied to a data set of Covid patients in the Philippines, and the results showed the behavior of a disease by collect data according to the age groups that Covid-19 virus targeted it, and the areas in which the virus spread more than others, as well as cases of death, recovery and cases of infection without symptoms, also, severe and mild cases of infection. All of these results clearly reflect the behavior of the virus to provide a complete scenario for the health authorities so that they can take the necessary procedures.

The field of recognizing brain tumors in recent years has received wide attention by researchers due to the rapid spread of the disease. In this paper, brain tumors (normal, glioma and meningioma) were recognized by the proposed networks (Support Vector Machine (SVM), Multilayer Perceptron Neural Network (MLPNN) and Radial Basis Function neural network (RBFNN)). The dataset is divided into two parts: 450 MRI images for the training phase and 240 for the testing phase. Pre-processing was applied to the input images by converting the images to grayscale and removing noise on them by median filter. Then, the texture features of MRI images were extracted using Gray Level Co-Occurrence Matrix algorithm after radon transformation. The extracted texture features were passed to the proposed networks for classification and recognition of tumors. The technique of extracting brain tumors from the magnetic resonance image was added by segmentation algorithm and morphology operations on the images. The performance of (SVM, MLPNN and RBFNN) was measured based on sensitivity, specificity, and accuracy and the best results obtained by SVM with a quadratic kernel function were 98.45, 98.97, and 98.71 for sensitivity, specificity, and accuracy, respectively.

Life in general, and humanity in particular, cannot exist, or continue and develop without water, and the availability of water varies from one region to another, as well as from one country to another. Given that the Arab region is located in the driest part of the world where there is less rainfall, the renewable water resources in the Arab region They are limited, and even relatively rare, compared to the growing population. In addition, to the fact that the surface water resources in most Arab countries are shared waters with countries outside the region, which threatens the security and safety of these resources despite the international agreements concluded between both upstream and downstream countries.The water crisis in the Tigris and Euphrates rivers represents a model for the water crisis in the Middle East. Turkey, as a country of origin, has a geographical and strategic advantage represented in complete control of each of these rivers in the face of the two riparian states with it, Syria and Iraq. The water problem between Iraq and Turkey emerged for the first time in the mid-seventies of the last century. The impact of Turkey’s construction of the Kiban Dam, one of the huge dams and storing water in it, and the water shortage in Iraq has reached a great extent, due to the deficit in the water balance between the limited supply and increasing demand for water and if the core of our research is focused on the water problem between Iraq and Turkey, then the purpose of our research, in addition to its scientific dimensions, and the revealing lights it can shed on its multiple aspects, is to alert the present and future of this country from the dangerous and possibly catastrophic consequences and consequences that the future of Iraq may face. As a result of water projects related to the Tigris and Euphrates rivers by the neighboring countries of Iraq, Turkey, Syria, and Iran, which led to these countries bypassing Iraq's water rights in the Tigris and Euphrates rivers as a result of the illegal practices followed in the projects of the mentioned countries.