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The Role of Certain Figures of Emphasis in the Televised Debate between Macron and Le Pen on may 3, 2017».: Le rôle de certaines figures d’insistance utilisées dans le débat télévisé entre Macron et Le Pen le 3 mai 2017
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      Political Discourse Analysis is an important linguistic study approach used by politicians to gain people support. The present paper sheds light on the figures of speech  of emphasis in the televised debate between the two presidential elections candidates, Emmanuel Macron and Marine Le Pen and the distinctive effect they add to the political discourse to win general public support as well as the presidential elections.

       The present paper provides a rudimentary definition and an analysis of the terms “discourse” and “political discourse” and traces the significant role played by politically directed televised Media and internet to support political parties through broadcasting political events. Through conducting an analytical study, the paper considers the discourse analysis concept that aims at deconstructing the speech modules to attain the required speech purpose.   Part of the present study theoretical approach, the paper terms and clarifies all types of Figures of speech used by politicians to create a publically stronger luminous witty and emotional impact. As for the paper practical approach, it sheds light on the stressing effect of four types figure of emphasis in French and the impact created on the political discourse.    

          Thus, it can be remarked that both candidates particularly Macron has made use of the figures of speech in his political discourse, specifically after winning the presidential elections. Pun or paronomasia, repetition and accumulation in comparison with redundancy are impressively used in Macron’s political discourse to win public support.

Résumé

             L’analyse du discours politique a un écho large dans les études linguistiques. Les politiciens essayaient d’utiliser le langage pour attirer l’attention de leur public à leurs décisions.

           Dans cette recherche, nous parlons du rôle des figures d’insistance entre les deux candidats aux élections présidentielles, Emmanuel Macron et Marine Le Pen. Notre mission est de découvrir l’impact de ces figures dont les candidats ont profité afin de gagner les élections. Ces figures donnent au texte une expression particulière dans le but de convaincre les gens.

           De plus, nous définissons en générale le terme «discours» en expliquant l’analyse du discours politique, puis nous montrons l’effet des médias sur la politique en transmettant les événements selon l’intérêt du politicien qui les soutient. Ensuite, nous abordons le concept d'analyse du discours et son objectif de déconstruire les éléments essentiels du discours en menant une étude analytique. Sa tâche principale est de séparer les facteurs qui forment la parole afin d'atteindre le but du discours.

             En ce qui concerne le cadre théorique, nous étudions quatre types de figures d’insistance et leur effet de renforcer le texte qui se base en premier lieu sur le style et la capacité d’utiliser les méthodes rhétoriques. Enfin, nous trouvons que les deux candidats profitent des figures d’insistance et surtout Macron après avoir remporté les élections. Nous constatons que l’anaphore, la répétition et l’accumulation sont plus utilisés que la redondance.

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Publication Date
Tue Mar 30 2021
Journal Name
Baghdad Science Journal
Local Dependence for Bivariate Weibull Distributions Created by Archimedean Copula
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In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest. Copula functions, such as Archimedean Copulas, are commonly used to estimate the unknown bivariate distributions based on known marginal functions. In this paper the feasibility of using the idea of local dependence to identify the most efficient copula model, which is used to construct a bivariate Weibull distribution for bivariate Survival times, among some Archimedean copulas is explored. Furthermore, to evaluate the efficiency of the proposed procedure, a simulation study is implemented. It is shown that this approach is useful for practical situations and applicable fo

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Saudi society’s trends towards visiting museums and art galleries: منال بنت مرشد الحربي -حنان بنت يوسف الأحمد-مها بنت عبد الله السنان
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The aim of the research is to identify the trends of Saudi society towards visiting art galleries and museums in light of economic and social transformations after the implementation of the 2030 vision plans. The importance of the research is to track the reasons behind the reluctance of members of society to visit such cultural institutions, and to plan proposals and recommendations for how to attract members of society and motivate them. This research followed the descriptive approach, and the study sample reached 103 members of the Saudi community. several research tools were used in this research such as questionnaire, personal interviews in addition to the researcher notes. The results concluded that the art galleries attract the ap

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Thu Feb 01 2024
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Publication Date
Mon Sep 23 2024
Journal Name
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Poly-Ether-Ether-Ketone versus dead-soft coaxial bonded retainers: a randomized clinical trial. Part 2: periodontal health and microbial biofilm assessment
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Retainers have the potential to detrimentally impact periodontal health and contribute to tooth decay.

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To investigate periodontal health and bacterial biofilm related to Poly-Ether-Ether-Ketone (PEEK) fixed retainers as compared to Dead-soft coaxial fixed retainer (DSC).

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Wed Dec 02 2020
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Publication Date
Sat Jan 01 2022
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Publication Date
Sat Apr 30 2022
Journal Name
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Improvement of noisy images filtered by bilateral process using a multi-scale context aggregation network
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Deep learning has recently received a lot of attention as a feasible solution to a variety of artificial intelligence difficulties. Convolutional neural networks (CNNs) outperform other deep learning architectures in the application of object identification and recognition when compared to other machine learning methods. Speech recognition, pattern analysis, and image identification, all benefit from deep neural networks. When performing image operations on noisy images, such as fog removal or low light enhancement, image processing methods such as filtering or image enhancement are required. The study shows the effect of using Multi-scale deep learning Context Aggregation Network CAN on Bilateral Filtering Approximation (BFA) for d

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