Theauthor addressed politeness discourse in “Surat Ghafir”. Quran texts include many rhetorical utterances which are considered pragmatic mechanismsconcerned with finding polite discourse. examining these texts allow to determine the effectiveness degree in the discourse, and to find the effect level that leads to interaction between the speaker and the listener. Graduation is considered an effect and a mechanism of discourse escalation.
The author reached a common definition of the graduation effectiveness term, due to its importance in finding polite discourse that is constructed by lingual manifestations some of which are escalation and graduation. Escalation is a mechanism to show the level of discourse graduation, it is a means of effectiveness that establish effective interaction between speakers by lexical and linguistic formulas and styles to show escalation amount in “Surat Ghafir”.
Argumentation is examined being a graduation effectiveness mechanism that gives aneffective persuasive power, because it is subjected to inference and reasoning.Fallacy, lingual, deceptive, deductive and comparative argumentationtypes are discussed, examples from “Surat Ghafir” are provided for each type.
Onomatopoeia has always been a functional poetic device which enjoys a high sound significance in the poetry of many languages. In modern English and Arabic poetry alike, it proves to be vital and useful at different levels: musical, thematic and at the level of meaning. Still, the cultural difference looms large over the ways it is employed by the poets of each. The present paper investigates the employment of onomatopoeia in the poetry of D. H. Lawrence (1885-1930) and Badr Shakir al-Sayyab (1926-1964) who are chosen due to the importance they enjoy in modern English and Arabic poetry and the richness of their poems in onomatopoeias. The conclusions reached at are in a sense related to cultural differences which govern the use of onomato
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يهدف البحث الى دراسة مسالة مهمة اجتماعية ذات طابع اسري يعني بالاهتمام بالطفل من ناحية العناية والرعاية حين افتراق الابوين
Human wealth is the most valuable wealth on the face of the earth, and building the intellectual, cultural and scientific human being is the greatest process carried out by all religions and philosophies at all times, and the divine law aimed at reforming the earth, including in order to preserve this great wealth, and to preserve its existential and qualitative entity.
Human wealth is the most valuable wealth on the face of the earth, and building the intellectual, cultural and scientific human being is the greatest process carried out by all religions and philosophies at all times, and the divine law aimed at reforming the earth, including in order to preserve this great wealth, and to preserve its existential and qualitative entity
The Qur'an was revealed with a clear Arabic tongue, and it seized minds, and was astonished by its eloquence and eloquence of tastes, so it was a new dawn, and a nucleus for the birth of a new literature inspired by the tolerant thought of Islam, its fresh words, and its delicate and revealing meanings
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve
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A series of laboratory model tests has been carried out to investigate the using of pomegranate sticks mat as reinforcement to increase the bearing capacity of footing on loose sand. The influence of depth and length of pomegranate sticks layer was examined. In the present research single layer of pomegranate sticks reinforcement was used to strengthen the loose sand stratum beneath the strip footing. The dimensions of the used foundation were 4*20 cm. The reinforcement layer has been embedded at depth 2, 4 and 8 cm under surcharge stresses . Reinforcing layer with length of 8 and 16 cm were used. The final model test results indicated that the inclusion of pomegranate sticks reinforcement is very effective in improvement the loading cap
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