The current research is summarized by studying and understanding the imagination and what resulted from it in postmodern arts, specifically Pop Art. The research was focused spatially (America) between the year 1950-1975 AD and it defined the research problem by asking about what factors and variables that established the social imagination in culture Al-Gharbia, which in turn crystallized the Western cultural product to appear in its form, which is historically called "pop art". Two studies were adopted in the second chapter. The first one was the cultural structure of the social imagination. The second topic was concerned with the stylistic diversity of pop art, and the third chapter included research and accreditation procedures. There are two models for determining the research sample, and the research has produced results in the fourth semester, the most important of which are:
• The artworks of pop art depended on the culture of society, the environment, consumer materials, advertisements, existential concepts and artistic methods represented by Dada, which represented the gathering of the different in which the artist relied on the imagination to achieve a thrill that achieves astonishment for the recipient.
• Imagination as a system of thought depends on form and reality on references whose origin is from finished goods, materials, and furniture, which is one of the most important characteristics of Pop Art.
And lastly were the conclusions and the list of sources
الرؤية السايكلوجية وتطبيقاتها في مسرحية الشيخ والغانية
Quran is a basic reference of production it is as a source to all sciences, Ayat of Quran would mention the importance of benefits of animals. Quran contain full surrat named in animal names as Al-Baqara that is to clarify its benefits and importance in human’s life.
التطور الدلالي لمعاني الكلمات في اللغة العبرية
This study examines the remaining architectural features in Kirkuk Castle,which does not include the heritage buildings outside it. The castle's fortifications are limited about military samples of the city during the Ottoman era ,concentrating on the importance remains of the walls that held on the edge of the hill leads to the interior, As well as some religious buildings such as mosques, shrines and churches, and the service buildings with most important caesarean dating back to the Seljuk era and a range of housing The importance of the subject lies in the study of these buildings , documentation, and knowledge of the designs and models of building to make it a link in the series of the late Islamic architecture
النظام القانوني للمعاهدات الدولية في القانون العراقي
يتظمن هذا الدرس سلسلة المحاضرات العملية لمادة هندسة تصنيع الاغذية وتشمل تحضير المحاليل, طرائق حفظ الاغذية, التعليب والتجفيف, والحفظ بالسكر,صناعة الشرابت والعصائر, صناعة المشروبات الغازية, صناعة المرملاد
Hand gestures are currently considered one of the most accurate ways to communicate in many applications, such as sign language, controlling robots, the virtual world, smart homes, and the field of video games. Several techniques are used to detect and classify hand gestures, for instance using gloves that contain several sensors or depending on computer vision. In this work, computer vision is utilized instead of using gloves to control the robot's movement. That is because gloves need complicated electrical connections that limit user mobility, sensors may be costly to replace, and gloves can spread skin illnesses between users. Based on computer vision, the MediaPipe (MP) method is used. This method is a modern method that is discover
... Show MoreRecommendation systems are now being used to address the problem of excess information in several sectors such as entertainment, social networking, and e-commerce. Although conventional methods to recommendation systems have achieved significant success in providing item suggestions, they still face many challenges, including the cold start problem and data sparsity. Numerous recommendation models have been created in order to address these difficulties. Nevertheless, including user or item-specific information has the potential to enhance the performance of recommendations. The ConvFM model is a novel convolutional neural network architecture that combines the capabilities of deep learning for feature extraction with the effectiveness o
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