This review paper examines the crucial impact of YouTube on learning English as a Foreign Language. Recently, learners’ interaction and development of their skills have been improved due to the integration of digital platforms into language education. YouTube is regarded as one of the most prevalent platforms due to its accessibility, multimodal content, and capacity to simulate real-life communication. This study tackles thirty selected research articles from various cultural and institutional backgrounds to identify the pedagogical benefits and challenges associated with using YouTube in teaching English. Conventional methods of teaching English as a foreign language encounter difficulties in improving students’ engagement and

With the vast usage of network services, Security became an important issue for all network types. Various techniques emerged to grant network security; among them is Network Intrusion Detection System (NIDS). Many extant NIDSs actively work against various intrusions, but there are still a number of performance issues including high false alarm rates, and numerous undetected attacks. To keep up with these attacks, some of the academic researchers turned towards machine learning (ML) techniques to create software that automatically predict intrusive and abnormal traffic, another approach is to utilize ML algorithms in enhancing Traditional NIDSs which is a more feasible solution since they are widely spread. To upgrade t

In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks. To cope with this, new detection techniques are required especially the ones that use Artificial Intelligence techniques such as machine learning based intrusion detection and prevention systems. Many machine learning models are used to deal with intrusion detection and each has its own pros and cons and this is where this paper falls in, performance analysis of different Machine Learning Models for Intrusion Detection Systems based on supervised machine learning algorithms. Using Python Scikit-Learn library KNN, Support Ve

       خلاصة تحاول هدة الدراسة التعرف على أسباب عزوف المرأة عن المشاركة بالعمل السياسى وقد تم اختيار عينة عشوايية من التدريسيات  في جامعة بغداد والمستنصرية ودلك للوقوف على هدة الأسباب وبعد تحليل البيانات أشارت نتائح الدراسة الى ان أسباب العزوف عن المشاركة فى العمل السياسى هى أسباب سياسية بالدرجة الأولى تليها الأسباب النفسية والاجتماعية وقد اوصت الدراسة ببعض الم

المسؤولية المدنية الناشئة عن الاعلان التجاري

يتناول البحث دراسة مسؤولية المستثمر المدنية عن تلوث البيئة من حيث اساسها واركانها واثرها

يتناول البحث دراسة تطبيق نظرية اساءة استعمال الحق في مجال المسؤولية التعاقدية