The current study aims at identifying the impact of using learning acceleration model on the achievement of mathematics for third intermediategrade students. Forachieving this, the researchers chose the School (Al-Kholood Secondary School for Girls) affiliated to the General Directorate of Babylon Education / Hashemite Education Department for the academic year (2021/2021), The sample reached to (70) female students from the third intermediate grade, with (35) female students for each of the two research groups. The two researchers prepared an achievement test consisting of (25) objective items of multiple choice type, The psychometric properties of the test were confirmed, and after the completion of the experiment, the achievement test wa

المستخلص

يهدف البحث إلى وضع إطار معرفي ومفاهيمي شامل لموضوع البحث, واغناء القارئ والمستفيد بالمعلومات الوافية عنه وتقليص الفجوات المعرفية للمهتمين به وقياس مدى ما هو متوفر وغير متوفر من المتطلبات الأساسية والضرورية لإنشاء صناديق التحوط في البيئة العراقية, وتمثلت صناديق التحوط بالمتغير الرئيس للبحث اما المتغيرات الفرعية فشملت (المتطلبات المالية, المتطلبات البشرية, البيئة التشريعية, الب

Praise be to God, who created people from one soul, and made her husband, and prayers and peace be upon His Messenger, Mercy given and the grace given, and on a machine and companions pure. Divorce cases have increased in recent years in a worrying manner, especially since divorce has unforeseen consequences at the individual and social levels. The source of concern stems from the fact that the cohesion and integrity of society starts from a family as it is the cornerstone of the social structure, which is the foundation upon which the large society is based. Marital life may suffer from problems and obstacles that are difficult to solve, so the man presents the divorce of his wife and that the phenomenon of divorce is not a result of it, b

This study was conducted with the Iraqi Pin-tailed Sandgrouse (Pterocles alchata). For this purpose, five adult birds weighing between 195–250 g were dissected and the spleen was removed. The organs were placed in 0.9% normal saline and fixed in 10% formalin and then preserved in 70% alcohol. Histological sections were prepared using the paraffin wax method, which involves several steps: Dehydration, clarification and embedding. The present results show that the spleen is surrounded by a capsule of connective tissue containing collagen fibres and smooth muscle. A series of connective tissue trabeculae extend from this capsule and penetrate the parenchyma of the spleen. The parenchyma consists of two main regions: the white pulp an

This study was conducted with the Iraqi Pin-tailed Sandgrouse (Pterocles alchata). For this purpose, five adult birds weighing between 195–250 g were dissected and the spleen was removed. The organs were placed in 0.9% normal saline and fixed in 10% formalin and then preserved in 70% alcohol. Histological sections were prepared using the paraffin wax method, which involves several steps: Dehydration, clarification and embedding. The present results show that the spleen is surrounded by a capsule of connective tissue containing collagen fibres and smooth muscle. A series of connective tissue trabeculae extend from this capsule and penetrate the parenchyma of the spleen. The parenchyma consists of two main regions: the white pulp and the re

Software-Defined Networking (SDN) has evolved network management by detaching the control plane from the data forwarding plane, resulting in unparalleled flexibility and efficiency in network administration. However, the heterogeneity of traffic in SDN presents issues in achieving Quality of Service (QoS) demands and efficiently managing network resources. SDN traffic flows are often divided into elephant flows (EFs) and mice flows (MFs). EFs, which are distinguished by their huge packet sizes and long durations, account for a small amount of total traffic but require disproportionate network resources, thus causing congestion and delays for smaller MFs. MFs, on the other hand, have a short lifetime and are latency-sensitive, but they accou

The continuous advancement in the use of the IoT has greatly transformed industries, though at the same time it has made the IoT network vulnerable to highly advanced cybercrimes. There are several limitations with traditional security measures for IoT; the protection of distributed and adaptive IoT systems requires new approaches. This research presents novel threat intelligence for IoT networks based on deep learning, which maintains compliance with IEEE standards. Interweaving artificial intelligence with standardization frameworks is the goal of the study and, thus, improves the identification, protection, and reduction of cyber threats impacting IoT environments. The study is systematic and begins by examining IoT-specific thre