المستخلص يتضمن البحث شرح موجز لمفهوم نظم المعلومات الجغرافية وعلاقتها مع علم الاثار والتاكيد على اهميتها في هذا المجال وكيفية الاستفادة من هذه النظم في مجال التنقيب عن الاثار مع الاستعانة بالعمل الحقلي المنجز في موقع تنقيبات جامعة الموصل عند تل قوينجق لتوضيح كيفية الاستفادة من مجموعة من مصادر وبرامج نظم المعلومات الجغرافية لسد بعض متطلبات عملية التنقيب عند تل قوينجق في مدينة نينوى الاثرية لعام 2011.

      جاء التقويم  ليكون مكملا للعمليات التعليمية يساعد على الوقوف على نتائجها وسبل النهوض بها والوقوف على المعوقات التي تقف امام مسيرتها وقد عنيت عمليات التقويم باهتمام كبير من قبل القائمين على العمليات التعليمية اذ عقدت العديد من المؤتمرات والندوات واجريت العديد من الدراسات عالميا ومحليا من اجل الوقوف على هذه العملية المهمة الداعمة للتعليم والنهوض بمستويات المتعلمين ، ومن بي

Here is a professional and precise English translation of the text, formatted for clarity and academic/report standards: ## Translation Sustainable management of irrigation water is one of the most critical challenges facing the agricultural sector in Iraq, including the Al-Mahmoudiya district. As a vital rural and agricultural area, Al-Mahmoudiya relies on agriculture as a primary source of livelihood, particularly for cultivating grains, vegetables, and certain horticultural crops. Farmers in the district mainly depend on the Tigris and Euphrates rivers and their branching canals, as well as groundwater in certain areas. However, the prevailing irrigation methods remain traditional, leading to significant water waste and low water-use e

A content-based image retrieval (CBIR) is a technique used to retrieve images from an image database. However, the CBIR process suffers from less accuracy to retrieve images from an extensive image database and ensure the privacy of images. This paper aims to address the issues of accuracy utilizing deep learning techniques as the CNN method. Also, it provides the necessary privacy for images using fully homomorphic encryption methods by Cheon, Kim, Kim, and Song (CKKS). To achieve these aims, a system has been proposed, namely RCNN_CKKS, that includes two parts. The first part (offline processing) extracts automated high-level features based on a flatting layer in a convolutional neural network (CNN) and then stores these features in a

fication of benzaldehyde (C6H5CHO) and O- amino aniline O-C6H4(NH2)2 in ethanol with 8- Hydroxyquinoline (8HQ) . Formed compounds were acquired of 1:1:2 molar proportion reactions for metal ions and ligands (L) and 2(8HQ) during reaction for MCl2 .nH2O salt products complexes conformable into the forms [M(L)(8HQ)2] ,where M = Mn(II),Co(II) and Ni(II). Whole the compounds were identified during the basis of their; FT-IR and U.V spectrum, melting point, molar conduct, identify of the percentage from the metal at the complexes via flame (AAS), C, H and N content of the Schiff base (L) and metal complexes were analysis and magnetic susceptibility menstruations. A hexagonal coordinated metal complexes were proposed to the separated complexes of

Introduction Oral biopsy is a fundamental diagnostic procedure in dentistry, essential for the early detection of oral cancer and other pathologies. While theoretical knowledge is a core component of dental education, the translation of this knowledge into clinical confidence and practical ability is critical for patient care. Objective: : evaluate the awareness, knowledge, and self-perceived ability to perform oral biopsies Material and Methods: A cross-sectional study was conducted among dental students. Participants (n=110) comprising 14 multiple-choice questions assessing key variables: knowledge of biopsy principles, techniques, lesion identification, specimen preservation, and ability to perform the procedure Results: While theoretica