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In the last few years, the use of artificial neural network analysis has increased, particularly, in geotechnical engineering problems and has demonstrated some success. In this research, artificial neural network analysis endeavors to predict the relationship between physical and mechanical properties of Baghdad soil by making different trials between standard penetration test, liquid limit, plastic limit, plasticity index, cohesion, angle of internal friction, and bearing capacity. The analysis revealed that the changes in natural water content and plastic limit have a great effect on the cohesion of soil and the angle of internal friction, respectively. . On the other hand, the liquid limit has a great impact on the bearing capacity and

In the last few years, the use of artificial neural network analysis has increased, particularly, in geotechnical engineering problems and has demonstrated some success. In this research, artificial neural network analysis endeavors to predict the relationship between physical and mechanical properties of Baghdad soil by making different trials between standard penetration test, liquid limit, plastic limit, plasticity index, cohesion, angle of internal friction, and bearing capacity. The analysis revealed that the changes in natural water content and plastic limit have a great effect on the cohesion of soil and the angle of internal friction, respectively. . On the other hand, the liquid limit has a great impact on the bearing capacity and

In the last few years, the use of artificial neural network analysis has increased, particularly, in geotechnical engineering problems and has demonstrated some success. In this research, artificial neural network analysis endeavors to predict the relationship between physical and mechanical properties of Baghdad soil by making different trials between standard penetration test, liquid limit, plastic limit, plasticity index, cohesion, angle of internal friction, and bearing capacity. The analysis revealed that the changes in natural water content and plastic limit have a great effect on the cohesion of soil and the angle of internal friction, respectively. . On the other hand, the liquid limit has a great impact on the bearing capacity and

Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of symptoms that can be attributed to the nerve fiber tracts that are compromised. This includes limb weakness, sensory impairment, and truncal instability, as well as a variety of autonomic abnormalities. This article will discuss how machine learning classification can be used to characterize the initial impairment and subsequent recovery of electromyography signals in an non-human primate model of traumatic spinal cord injury. The ultimate objective is to identify potential treatments for traumatic spinal cord injury. This work focuses specifically on finding a suitable classifier that differentiates between two distinct experimental

يعد موضوع المحل من المواضيع الشائكة في القانون المدني ، اذ ان هذا الموضوع رغم قدمه الا انه لازال يمثل ارضا خصبة للبحث ، اذ يوجد خلاف حول تحديد الكائن القانوني الذي يعد المحل ركنا فيه ، حيث اختلفت التشريعات في هذه المسألة ، فبعض التشريعات تذهب الى ان المحل ركن في العقد ، وبعضها يذهب الى ان المحل ركن في الالتزام ، وبعضها يذهب الى ان المحل ركن في العقد وركن في الالتزام وقد انتقل هذا الخلاف الى الفقه فظهر فيه عدة اتج

Praise be to God, Lord of the worlds, and may blessings and peace be upon the most honorable of all creation, Abi Al-Qasim Muhammad, who is the messenger of mercy to the worlds and upon the God of the pure and good companions all

احكام التركز الاقتصادي للمشاريع دراسة مقارنة

The main purpose of this study is to investigate the relationship between smoking and increased risk if diseases.

   It has been estimated that gland of smoker in the world 3.1 billion smoker . Glands an estimated 4.1 million deaths per day . The proportion of death in developing countries 70% due to relationship between poverty and smoking .

    The damage caused by smoking not only no the Alzbn users , but to millions of people around them .

    According to medical studies to confirm the relationship between forced smoking and increased risk of heart diseases , lung cancer , and mental diseases . it is surprising