AL- Shaam Bathrooms in the later Abbasyat Ages

في تعزيز بيئة الانتاج الرشيق استخدام اسلوب S -5

The risk of significant concern is resistance to antibiotics for public health. The alternative treatment of metallic nanoparticles (NPs), such as heavy metals, effects on antibiotic resistance bacteria with different types of antibiotics of - impossible to treat using noval eco-friendly synthesis technique nanoparticles copper oxide (CuO NPs) preparation from S. epidermidis showed remarkable antimicrobial activity against S.aureus Minimum inhibitory concentra range (16,32,64,256,512) µg/ml via well diffusion method in vitro, discover those concentrations effected in those bacteria and the best concentration is 64 µg/ml, characterization CuO NPs to prove this included atomic force microscope, UV, X-ray Diffraction and TEM, and ant

The present study is an academic attempt to show how the threeUmayyad poets ; Jarir ,
Al-Farazdaq and Al-Akhtal have skillfully employed old conventions and traditions in their
poetry to serve a dual purpose of making their ideas striking , memorable and compelling and
of reaching eminence as poets.
The primary aim of the poets has been to amuse , convince and influence the readers or
listeners of their poetry . as it were, a mirror image of the social , religious and historical
beliefs , values and customs which prevailed throughout the ages before the emergence.

يهدف هذا البحث الى عرض رؤيا تشخصيه لمجتمع المعرفة في ظل اقتصاد المعرفة من خلال استعراض العديد من المفاهيم النظرية والعلاقة بينهم كمفهوم البيانات والمعلومات والمعرفة ومجتمع المعلومات والمعرفة, ومصادر المعرفة, والمراحل التطورية للتحول الى مجتمع المعرفة, ومن ثم استعراض الأبعاد الأساسية لمجتمع المعرفة, إضافة إلى الملامح الأساسية لاقتصاد المعرفة وخصائص ذلك الاقتصاد, ثم تناول البحث المورد المعرفي وعلاقته

There is no doubt that Jane Austen is one of the most studied authors of the late 18th and early 19th centuries. Her female characters have been extensively studied and they seem to have aroused much interest as manifestations of the conduct of their time. Her heroines have realized that there were many mistakes in the rules of conduct that controlled and restricted their behaviors. Thus, they have found no fault in correcting these mistakes, by behaving naturally without acting. Elizabeth Bennet the heroine of Pride and Prejudice and Marianne Dashwood of Sense and Sensibility are the chosen examples of that kind of women.

في البداية اود الاشارة الى ان فهم حقيقة الازمة هو ذو جانب فني يتعلق بالجينات الوراثية لنظام يملك في احيناته قدرة عالية على تفريخ المشتقات. هذا النظام الذي يزداد عقما وتدميرا يزداد قدرة على خلق النقود الائتمانية/المشتقات، وكلما اقتربنا اكثر من فهم هذا الجانب كلما اسقطت في ايدينا تلك التوصيفات الاكاديمية الجاهزة في نقص الرقابة والاشراف، تركيز المخاطر،....الخ التي تناولتها الكتابات الشائعة في معظم طروحات

The dramatic personality represents the most important nerve in the cinematographic discourse due to what it represents of a permanent presence in various types of TV and cinematic stories. That is what makes the cinematographic discourse always seek to introduce the human personality in multiple methods. The psychopathic personality is a type of the personalities that got distinguished presence in the TV and cinematic productions. This is what drew the researcher's attention for the topic of the research for which she used title: structural features of the psychopathic personality in the cinematographic discourse.
The theoretical framework included the research problem which is determined by the following question: what are the stru

Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise