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La réception du Petit Prince de Saint-Exupéry dans le monde arabe The impact of The Little Prince on Arabic audience
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Le Petit Prince est apparu en 1943 vers la fin de la vie de son auteur. La mondialité qu'a gagnée ce récit le rend un des livres les plus lus et les plus vendus dans le monde. Cette popularité en fait un des classiques de la littérature française.

En effet la littérature française a un impact profond et direct sur la vie intellectuelle et littéraire dans le monde arabe. La circulation des œuvres littéraires écrites en français a bien influencé les lecteurs arabes soit en langue française  soit  traduites en arabe. Cette réalité est identique lorsqu'on parle de la réception du Petit Prince ; l'œuvre la plus connue dans le monde entier dès son apparition officielle.

Abstract

This thesis tackles the impact of Antoine de Saint-Exupery's story The Little Prince. The story belongs to children's literature, which is characterized by a fluent language, easy grammatical structures, in addition to the simplicity of dictions and their closeness to the mentioned audience's mentality. This story is one of the most significant literary productions of the twentieth century that unequally spreads in different countries of the world since it is published in 1943.

           To translate this uniqueness, The Little Prince has been particular in the sense that it is translated into all the world's language. It is translated into 260 languages and dialects. The Arabic language has witnessed (16) Arabic Translations, in addition to the different Arabic dialects.

           Those translations are expressed according to the special literary translation theories of the text, in addition to the dependence on Vinay and Derbelnet models of comparing translated text. The manner of showing the translations in this thesis differs of what is familiar in other ones, for it tackles the hypothesis thematically not linguistically. It attempts to clarify the ability of delivering intended themes into Arabic to express the translator's success in this aspect. It is not a translation of a linguistics subject or a basic.

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Publication Date
Sun Jan 01 2023
Journal Name
Materials Today: Proceedings
Preparation, characterization and preliminary cytotoxic evaluation of 6-mercaptopurine-coated biotinylated carbon dots nanoparticles as a drug delivery system
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Thu Feb 06 2020
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne

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Sat Jun 01 2024
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