Our study comes up to clarify the role of television in spreading the culture of violence with a child. This study represents one of the important studies that have tried to highlight the impact of these programmes, particularly cartoons, on the child's behaviors, actions and acquired habits.Violence considers a common phenomenon among the people, as the role of the media, particularly TV has a vital role due to its properties, characteristics and its significant impact on different segments and groups in society and in children particularly through exposure to programmes of films.The results of the study have been affected by the rising proportion of females to males, and that the contribution of real life has a big role in the child ac

تزخر ذاكرة بغداد ب سماء العديد من الشخصيا ث في الناشطة والبارزة والتردي
لهذا الاثر البارز والمثير في ميدان الابداع و

بينت النظريات والمناهج النقدية الحديثة بعد تفعيلها لوسائل قراءة النص وتحليل عناصره وبيان وسائل تماسكه وروابطه فضلا عن تمثيله لمضامين مركزية ودلالات فرعية ان النصوص التراثية بوصفها نصوصا كاملة لسمات النص المؤثر قابلة للحضور في مجال المعرفة وفق تصور حديث يختلف عن تصور منتجهامنهجيا كما اتضح مدى عمق هذه النظريات والاسس التي ارساها بلاغيو العرب التي كانت ولاتزال محط انظار كبار النقاد وباحثي البلاغة.

Praise be to God, Lord of the Worlds, and prayers and peace be upon our master and beloved Muhammad and all his family and companions. As for what follows: The research presented the synonymous and common verbal expressions mentioned in the book Al-Taliq Al-Mughni on Sunan Al-Daraqutni by the scholar Sheikh Shams Al-Haq Muhammad Al-Azeem Abadi

Praise be to God, Lord of the Worlds, and prayers and peace be upon our master and beloved Muhammad and all his family and companions. As for what follows:

Deep learning has recently received a lot of attention as a feasible solution to a variety of artificial intelligence difficulties. Convolutional neural networks (CNNs) outperform other deep learning architectures in the application of object identification and recognition when compared to other machine learning methods. Speech recognition, pattern analysis, and image identification, all benefit from deep neural networks. When performing image operations on noisy images, such as fog removal or low light enhancement, image processing methods such as filtering or image enhancement are required. The study shows the effect of using Multi-scale deep learning Context Aggregation Network CAN on Bilateral Filtering Approximation (BFA) for d

The meniscus has a crucial function in human anatomy, and Magnetic Resonance Imaging (M.R.I.) plays an essential role in meniscus assessment. It is difficult to identify cartilage lesions using typical image processing approaches because the M.R.I. data is so diverse. An M.R.I. data sequence comprises numerous images, and the attributes area we are searching for may differ from each image in the series. Therefore, feature extraction gets more complicated, hence specifically, traditional image processing becomes very complex. In traditional image processing, a human tells a computer what should be there, but a deep learning (D.L.) algorithm extracts the features of what is already there automatically. The surface changes become valuable when

Mammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer. The most common abnormalities that may indicate breast cancer are masses and calcifications. The challenge lies in early and accurate detection to overcome the development of breast cancer that affects more and more women throughout the world. Breast cancer is diagnosed at advanced stages with the help of the digital mammogram images. Masses appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. The incidence of breast cancer in women has increased significantly in recent years.
This paper proposes a computer aided diagnostic system for the extracti