This paper aims to add to the growing body of cognitive translation studies that deal with the translation of emotions and the factors of evaluating the translation process-oriented. Cognitive appraisal is one of the tokens that includes three paradigms of assessing the performance of translation, it can be addressed from the perspective of emotions, intuitions, and individual styles of the SL and the method of transfer into TL. The study hypothesized that translators create a similar emotional charge due to their mental capability to build the same emotional effect in the TL audience. The study also proposed that the applicability of cognitive appraisal is a valuable method of evaluating the translation process, as pertinent to TPR. The study involved two translations for (15) texts including horror situations, and applied three paradigms of cognitive appraisal as a model of analysis, according to the congruence - emotional effects, regulation of emotional - effects, and inference - of emotional effects, to achieve the objective of the research. The study concluded that translators of horror fiction created a sort of emotional effect in TL, but they may vary in the type of strategy adopted to transfer SL into TL.
تناول البحث اثر النساء في البيت العباسي وتأثيرهن الثقافي والعلمي في التراث البغدادي ، وانعكاسه على الواقع الاجتماعي الذي يعد بحد ذاته مظهر من مظاهر الانسجام والتلاحم بين الماضي والحاضر إذ تركن أثرا بارزا في الحضارة والعلم وأسهمن بصورة مباشره او غير مباشره في دعم وتطور الحضارة العربية الإسلامية .
The research aims to identify the level of selective visual attention among students of the faculties of education at the University of Mosul. To achieve the goal of the research, the researchers chose a stratified random sample of students from the faculties of education at the University of Mosul for the academic year (2020-2021). The sample size was (652) students from the scientific and humanitarian specializations, the second and fourth stages. The researchers developed a test of multiple-choice to measure the selective visual attention, which consisted of (42) items. The results revealed that the students of the faculties of education for human sciences have an appropriate level of selective visual attention. There are statisticall
... Show Moreالشيخ الحاج محمد الأمين، من الشخصيات التي كتبت بعلامات بارزة تاريخ شعبها والمنطقة، من خلال مقاومة الاحتلال الفرنسي الصليبي في السودان الغربي، ونشره الاسلام بين القبائل الوثنية، القاطنة هناك و قيادة حركة قومية إسلامية لإعادة أمجاد الشعب السراكولا ،وإحياء إمبراطورية غانا الإسلامية والتي كانت تشكل الجزء الأغلب من السودان الغربي.
The current study aims to investigate the second cycle students’ motives for using electronic games in Oman. The sample consisted of (570) students, (346 males and 224 females). The participants completed an open-ended question which was analyzed based on ground theory. The results showed that (46.820%) of the males and (77.678) of the females played electronic games for pleasure, entertainment, and fun. This first category of motivation got the highest percentage of frequency (58.947%). The motive to become a hacker, a popular YouTuber got the lowest percentage (2.280%). Other students’ motives toward playing electronic games included: filling the leisure time, overcoming boredom, feeling adventures, getting science fiction and chal
... Show MoreThis search aimed to show a series of converses that our prophet [peace be upon him] call ,some of them , (Kufraa) , and explain the meaning of (AI-kufr) that called on some works , so does it mean the apparent part or the pronunciation of(Al-Kufr) has another meanings ?
يأخذ هذا النوع من الدراسات أهميته في مجال الدراسات التاريخية لاسيما انه يقوم على أساس البحث والتقصي عن بعض الظواهر في المعاجم كونها تمثل المصدر الأساسي الذي وجدنا فيه الجزء الأعظم من تلك المادة المفقودة لكتاب النبات لابو حنيفة الدينوري.
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
... Show Moreم. د. ولاء طارق حميد, Al. Qadisiya journal for the Sciences of Physical Education, 2017
In addition to being a religious book with high human and moral themes, Nahj al-Balagha is considered a mirror of Arab culture and a literary masterpiece at the height of eloquence and eloquence, and because proverbs in the form of short, concrete and understandable phrases for everyone, experiences, thoughts and convey ideas, Imam Ali (AS) used it to facilitate the understanding of various political, social and moral concepts. In this article, we intend to criticize the way Dashti, Shahidi and Foladvand translated it by using Newmark's model due to the importance and cultural reflections of proverbs in understanding the cultural atmosphere governing Nahj al-Balagheh. In his evaluation model, Newmark divides cult
... Show MoreThe interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm
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