Recently, the phenomenon of the spread of fake news or misinformation in most fields has taken on a wide resonance in societies. Combating this phenomenon and detecting misleading information manually is rather boring, takes a long time, and impractical. It is therefore necessary to rely on the fields of artificial intelligence to solve this problem. As such, this study aims to use deep learning techniques to detect Arabic fake news based on Arabic dataset called the AraNews dataset. This dataset contains news articles covering multiple fields such as politics, economy, culture, sports and others. A Hybrid Deep Neural Network has been proposed to improve accuracy. This network focuses on the properties of both the Text-Convolution Neural

Addition of bioactive materials such as Titanium oxide (TiO₂), and incorporation of bio inert ceramic such as alumina (Al₂O₃), into polyetheretherketone (PEEK) has been adopted as an effective approach to improve bone-implant interfaces. In this paper, hot pressing technique has been adopted as a production method. This technique gave a homogenous distribution of the additive materials in the proposed composite biomaterial. Different compositions and compounding temperatures have been applied to all samples. Mechanical properties and animal model have been studied in all different production conditions. The results of these new TiO₂/Al₂O₃/PEEK biocomposites with different

بسم الله الرحمن الرحيم

يتناول بحثنا الموسوم بـ ( الأحكام الذوقية للأصمعي في كتاب الموشح في مآخذ العلماء على الشعراء للمرزباني ) جانباً تطبيقياً من نقد أحد علماء اللغة في القرن الثاني للهجرة وبداية القرن الثالث الهجري ألا وهو الأصمعي .

وتحليل آرائه النقدية لمعرفة قدرته على تذوقه النصوص الشعرية , ومن ثَمَّ معرفة مزايا أحكامه الذوقية النقدية التي أوردها المرزباني وعَدَّها مآ

Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval