The aim of this paper is to determine the effect of nostalgia marketing on consumers’ purchase intention and demographic factors. Nostalgia marketing is one of the marketing ideas that some organizations use it to attract customers by evoking memories or heritage in their minds. This method would affect the emotions and feelings of people, which may raise their desire to buy. The questionnaire was used as a tool for data collection, and it was distributed to a random sample of 512 individuals. A sample is a group of individuals who have seen small sculptures displayed in shops inside Babylon Mall in Baghdad. The small sculptures show the life of Baghdadis in the fifties and sixties of the last century. Statistical software was used for

رمي البحث الحالي الى تعّرق أثر أنموذج فراير في اکتساب المفاهيم البلاغية عند طالبات الصف الخامس الادبي في مادة البلاغة. ووضع الباحثون الفرضية الصفرية الآتية: "ليس هناک فرق ذو دلالة احصائية عند مستوى (0.05) بين متوسط ودرجات طالبات المجموعة التجريبية اللواتي يدرسن مادة البلاغة بانموذج فراير، ومتوسط درجات طالبات المجموعة الضابطة اللواتي يدرسن المادة نفسها بالطريقة التقليدية (القياسية) في الاختيار البعدي لا کتسا

تهدف الدراسة الحالية إلى معرفة أثر استخدام نموذج ويتلي في اكتساب طلاب الصف الثاني الأساسي لمادة قواعد اللغة العربية. وللتحقق من هدف الدراسة فرضت الفرضيات الصفرية الآتية: الفرضية الصفرية الأولى هي (لا توجد فروق ذات دلالة إحصائية عند مستوى (0.05) بين متوسط ​​درجات المجموعة التجريبية التي درست مادة قواعد اللغة العربية وفق نموذج ويتلي ومتوسط ​​درجات المجموعة الضابطة التي درست مادة قواعد اللغة العربية وفق الطريق

Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c

This study explores the barriers to adopting green environmental criteria in Supplier Selection (SS) within the Iraqi food industry. It aims to enhance the understanding of sustainable supply chain management in developing nations, with a particular focus on the Iraqi context. A case study approach was utilized to identify eleven key green environmental criteria and 54 sub-criteria, alongside seven major barriers to their adoption. The Best–Worst Method (BWM) was employed to rank the criteria, and Fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) was used to prioritize the barriers. The analysis revealed that Environmental Management Systems are the most critical criterion for SS. On the other hand, legislation and policies emerged

Language and politics go hand in hand and learning and comprehending political genre is to learn a language created for codifying, extending and transmitting political discourse in any text/talk. Drawing upon the theoretical framework of Fairclough’s CDA and Rhetoric, the current study aims at investigating Donald Trump’s First Speech, from the point of frequency and functions of some rhetorical strategies (Parallelism, Anaphora and the Power of Three, Antithesis and Expletive, etc.), Nominalization, Passivization, We-groups and Modality as well as Lexical and Textual Analysis, presented to the UN delivered on Sep. 19, 2017. Specifically, the study seeks to determine: (1) how President Trump succeeded in conveying his notions an