Metadiscourse markers are means for organizing a writer’s information and create a connection with her/his readers. When students write, they usually focus on one type of these markers that is the interactive markers and belittling the use of the other type which is the interactional markers. That is to say, they emphasize on presenting and organizing their information only. Therefore, this study is conducted to bridge this gap. The researchers have selected 18 thesis abstracts. Nine of them are written by Iraqi students of English and the rest by American students. The aims of the study are to examine the types and sub-types of metadiscourse markers used by American and Iraqi students; investigate comparatively the impact of the metad

This research aims to shed light on some phonetic linguistic terms used in the Arabic phonetic lesson for the purpose of monitoring, analyzing and tracking its developments. Such a step helps to standardize and weigh between them. The study follows a descriptive-analytical approach; it surveys the problem of the phonetic linguistic term, and its linguistic exactness. Then, it examines some phonetic terms in the Arabic phonetic lesson, such as phonology and phonology; intensity, looseness and mediation; the production, articulatory, transition, position, and the two vocal chords. One of the most prominent conclusions of the study is that the phonetic linguistic terminology enjoyed a tangible development since its infancy, given that phone

That the nature of an important role in children's lives, Including offer them fun and freedom of thinking and capacity in the imagination. And its effective role of poets in general and especially apoet of childhood Selecting from diverse elements, And the rise to the level of human nature In order to enrich the child's imagination And the delivery of various ideas and information in a surprising. And are far from the decision-making and direct screed.this importance we set off For the study of poetic texts for children in Iraq During the research stage. Those texts in which the humanization began clearly,and our offer to these texts in style of detail and precision Not without expressing an my opinion during the research We finished th

Modal verbs are also called auxiliary verbs, helping verbs and modal auxiliaries. They are special auxiliary verbs that express the degree /of certainty of the action in the sentence, attitude or opinion of the writer concerning the action. These auxiliary verbs are can, could ,may, might, must, ought to, shall, should, will, would and had better. Modality is one of the most difficult aspects of learning English, because the form of modals does not follow the conventional rules of grammar, and there are so many meanings of modals that students often get confused about which modal to use. Also, many EFL learners face difficulty in choosing the proper modal verb that fit certain situations because each modal verb has many functions. The pr

Hepatitis, an inflammation of the liver, has a number of infectious and non-infectious causes. Two of the viruses that cause hepatitis (hepatitis A and E) can be transmitted through water and food; hygiene is therefore important in their control. First, to assess the importance of HAV and HEV as a possible diagnosis for clinically diagnosed patients with acute viral hepatitis. Second, to assess the prevalence of hepatitis A and E in all provinces of Iraq and study its association with age, gender. This study consisted of two groups: The first group consisted of 2975 patients with a clinical diagnosis of acute viral hepatitis. The second group consisted of a total of 9610 persons, which were recruited by surveying a nationally representative

The field of Optical Character Recognition (OCR) is the process of converting an image of text into a machine-readable text format. The classification of Arabic manuscripts in general is part of this field. In recent years, the processing of Arabian image databases by deep learning architectures has experienced a remarkable development. However, this remains insufficient to satisfy the enormous wealth of Arabic manuscripts. In this research, a deep learning architecture is used to address the issue of classifying Arabic letters written by hand. The method based on a convolutional neural network (CNN) architecture as a self-extractor and classifier. Considering the nature of the dataset images (binary images), the contours of the alphabet