The approach of greening existing buildings, is an urgent necessity, because the greening operation provides the speed and optimal efficiency in the environmental performance, as well as keeping up with the global green architecture revolution. Therefore, greening existing buildings in Iraq is important for trends towards renewable energies, because of what the country went through economic conditions and crises and wars which kept the country away from what took place globally in this issue. The research problem is: insufficient knowledge about the importance and the mechanism of the greening of existing buildings, including its environmental and economic dimensions, by rationalization of energy consumption and preservi

Background: footballers may have poor oral health like elevated levels of dental caries. The purpose of this study was to estimate the prevalence and severity of dental caries in Iraqi footballers and to measure dental treatments needs. Materials and methods: 403 Iraqi males footballers aged from 18-32 years were included in the study. The cases were recruited from 18 clubs in Baghdad city. Results: the results of present study showed increased percent of caries experience according to age increase and decreased dental caries percent as education level increased among Iraqi footballers. Decayed component was found to be the largest of DMFS value compared to MS and FS among all age groups, Caries experience was found to be increased as age

  The paper delves into the examination of trauma portrayals in Heather Raffo's “Noura” (2019). Raffo examines the challenges faced by two Iraqi women, Raffo and Maryam, in relation to parenthood following the capture of Iraq by “ISIS”. The paper is concerned with the various depictions of trauma that Raffo accomplishes in the text then delves in the way she cocooned her characters’ identity in order to recover their traumas. Initially, Noura is a trauma tale, illustrating the recurrent and repetitive nature of trauma from mother to daughter. The narrative reflects the interactions and dynamics between the mother and daughter and their function as substitutes for memory and recounting personal narratives. Moreover, examin

لقد انبثقت رؤيا حديثة في مسرح الثمانينات من القرن العشرين كان هدفها دحر حس الاسر الذي عاشه  انسان العصر الحديث وفي محاولة للارتقاء بارادته وحرية الاختيار نحو الانعتاق من محاولات المصادرة الفظة لها. وبالرغم من افتراض هذه الرؤيا انها ذات طابع سلبي, الا ان رؤيا الانتحار قدعدت بانها قادرة على ان تجعل في متناول يد الانسان احساسا طموحا بالتحكم على الاقل بنوع النهاية التي يكتبها لحياته. وقد انعكست هذة الرؤيا ال

Conflict is a common but complicated phenomenon. It has been extensively researched in many domains, including philosophy, sociology, psychology, and linguistics. Using the Critical Discourse Approach, this study examines the issue of self-society conflict in The Handmaid’s Tale. The significance of this work lies in the identification and explanation of the discursive strategies that force the ideological polarization of the positively portrayed self versus the negatively portrayed other. The purpose of this study is to answer two questions: what are the discursive strategies used in The Handmaid’s Tale to create a positive or negative representation, and how are these strategies implemented? Five extracts from The Handmaid’s

The basic concepts of some near open subgraphs, near rough, near exact and near fuzzy graphs are introduced and sufficiently illustrated. The Gm-closure space induced by closure operators is used to generalize the basic rough graph concepts. We introduce the near exactness and near roughness by applying the near concepts to make more accuracy for definability of graphs. We give a new definition for a membership function to find near interior, near boundary and near exterior vertices. Moreover, proved results, examples and counter examples are provided. The Gm-closure structure which suggested in this paper opens up the way for applying rich amount of topological facts and methods in the process of granular computing.

Machine Learning (ML) algorithms are increasingly being utilized in the medical field to manage and diagnose diseases, leading to improved patient treatment and disease management. Several recent studies have found that Covid-19 patients have a higher incidence of blood clots, and understanding the pathological pathways that lead to blood clot formation (thrombogenesis) is critical. Current methods of reporting thrombogenesis-related fluid dynamic metrics for patient-specific anatomies are based on computational fluid dynamics (CFD) analysis, which can take weeks to months for a single patient. In this paper, we propose a ML-based method for rapid thrombogenesis prediction in the carotid artery of Covid-19 patients. Our proposed system aims