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Song and motivation in language class: Chanson et motivation en classe de langue
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Songs are considered as an educational and a substantial dependable references used in teaching and learning, particularly the so - called foreign language learning that allows learners to adapt to the target language culture and to develop their language learning skills including: listening comprehension, reading comprehension, speaking and writing. Consequently, it can be said that the Francophone songs with the musical richness and resonance specifically facilities French language learning skills  for all levels of education and achieve short and long terms predetermined educational language learning goals.  

     In fact, language learning through songs method does not only include the cultural, musical, and heritage content of the language but rather includes the entire rich linguistic features that enable to master social linguistic field. It exceeds topographical and political limits to attain different cultures and communities’ interference.     

  Additionally, learning through songs and music method plays an important role in French language learning. It represents one of the French languages most significant and reliable cultural and vernacular language learning reference. Out of French language teaching experience in Iraq, it is obvious that through songs and music language learning method represents such a vital element in the learning process that facilitates and supports the classroom linguistic and educational activities.   

The present study considers the advantages of teaching songs in French as a foreign language learning method ( FLE ) that helps the acquisitions of the oral and written language learning skills.

Résumé

La chanson, présente bel et bien en force dans notre vie quotidienne. Elle est considérée comme un document authentique de qualité à exploiter dans l’enseignement-apprentissage des langues surtout dites secondaires ou étrangère surtout. Le présent article traite la question de l'exploitation de la chanson comme support éducatif en classe de FLE. Un usage qui ne se limite pas uniquement aux apports linguistiques mais qui  renvoie aussi  à des réalités de la (des) culture(s) de la francophonie.

Dans l’enseignement de la langue étrangère, la chanson est considérée comme un moyen pédagogique qui permet aux apprenants de s’accommoder à la culture de la langue-cible afin de développer les quatre compétences langagières (The four skills), à savoir celles de ; la compréhension de l’oral, la compréhension de l’écrit, l’expression de l’oral et celle de l’écrit. On peut dire donc que la chanson francophone, avec sa richesse musicale et ses qualités dites ludiques où se côtoient plaisir et désir. Cet avantage procure aux apprenants de différents âges et de différents niveaux une réception fortement positive, de laquelle peut émerger une multitude de manières plausibles d’exploitation d’un tel support en classe de FLE. L'important, serait donc, l’atteinte des objectifs finaux prédéterminés à long ou à court terme. En effet, la richesse de l’apprentissage par la chanson dépasse le contenu culturel, le musical, le patrimonial pour enfermer entre ses entrailles une variété linguistique qui en fait un champ fertile d’investigation dans le domaine de la sociolinguistique. Or, elle constitue un bon messager, voire un bon étrier qui efface les frontières politico-topographique et unit les peuples francophones par le bon brassage des cultures, et ce en partant de l’idée maitresse suivante « No mans land ».

Par conséquent, l’enseignement-apprentissage de/par la chanson joue un rôle colossal dans la classe  de FLE et qu'il ne faut guère hésiter à l'exploiter, car il permet une connaissance adéquate de la langue et de la culture françaises ou ce qu’on peut appeler la lexiculture. Lors de notre expérience dans le domaine de l'enseignement-apprentissage de la langue française en Irak, nous avons constaté l'utilisation du support en question comme élément fondamentale qui permet le soutien des activités linguistiques et pédagogiques en classe de FLE.

Dans cet article, nous tenterions de mettre en exergue les avantages de l’enseignement-apprentissage de/par la chanson en classe de FLE, voire ses impacts prétendument favorables de ce support et son exploitation pour une motivation dynamique qui permet aux apprenants d’améliorer leurs compétences langagières sur tous les plans, qu’ils soient oraux ou écrits.

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Publication Date
Thu Jan 01 2015
Journal Name
Journal Of Engineering
Wastewater Bio-solids Management for Fertilizer Quality Using Co- composting Process
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Co-composting process can be acquired by combining organic fraction of municipal solid waste (OFMSW) with sewage sludge (SS) and mature compost (MC) as enhancement and bulking agent to overcome the problems of municipal solid waste and wastewater treatment plants besides the finally produced fertilizer usage for agriculture and horticulture. The effects of different mixture ratios of (OFMSW), (SS) and (MC) on the performance of composting process were investigated in this study. Piles of about 10 kg were prepared by mixing OFMSW, SS and MC in three different ratios (w/w) [OFMSW: SS: MC= 3:1:1, 3:2:1, and 3:3:1]. Results showed that the pile [3:1:1] was most beneficial to composting. The final compost products contained a

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة
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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be  used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto  type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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Publication Date
Sun Mar 03 2013
Journal Name
Baghdad Science Journal
Couniform Modules
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In this paper, we introduce and study a new concept named couniform modules, which is a dual notion of uniform modules, where an R-module M is said to be couniform if every proper submodule N of M is either zero or there exists a proper submodule N1 of N such that is small submodule of Also many relationships are given between this class of modules and other related classes of modules. Finally, we consider the hereditary property between R-module M and R-module R in case M is couniform.

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Publication Date
Sat Mar 04 2023
Journal Name
Baghdad Science Journal
Generalised Henstock - Kurzweil Integral with Multiple Point
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This paper deals with a new Henstock-Kurzweil integral in Banach Space with Bilinear triple n-tuple and integrator function Ψ which depends on multiple points in partition. Finally, exhibit standard results of Generalized Henstock - Kurzweil integral in the theory of integration.

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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Convergence Analysis for the Homotopy Perturbation Method for a Linear System of Mixed Volterra-Fredholm Integral Equations
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           In this paper, the homotopy perturbation method (HPM) is presented for treating a linear system of second-kind mixed Volterra-Fredholm integral equations. The method is based on constructing the series whose summation is the solution of the considered system. Convergence of constructed series is discussed and its proof is given; also, the error estimation is obtained. Algorithm is suggested and applied on several examples and the results are computed by using MATLAB (R2015a). To show the accuracy of the results and the effectiveness of the method, the approximate solutions of some examples are compared with the exact solution by computing the absolute errors.

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Publication Date
Tue Oct 22 2024
Journal Name
Iraqi Statisticians Journal
Inferential Methods for the Dagum Regression Model
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The Dagum Regression Model, introduced to address limitations in traditional econometric models, provides enhanced flexibility for analyzing data characterized by heavy tails and asymmetry, which is common in income and wealth distributions. This paper develops and applies the Dagum model, demonstrating its advantages over other distributions such as the Log-Normal and Gamma distributions. The model's parameters are estimated using Maximum Likelihood Estimation (MLE) and the Method of Moments (MoM). A simulation study evaluates both methods' performance across various sample sizes, showing that MoM tends to offer more robust and precise estimates, particularly in small samples. These findings provide valuable insights into the ana

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Publication Date
Thu Jun 25 2020
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn: 1683 - 3597 , E-issn : 2521 - 3512)
Evaluating the Clinical Outcomes of Three Medication Regimens for Treating a Sample of Iraqi Persistent Asthmatic patients
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Abstract     Asthma is a complex disease defined by chronic airway inflammation and airflow limitation causing variable respiratory symptoms which include shortness of breath (SOB), wheezing, chest tightness and cough. Asthma guidelines advocate adding a second long acting bronchodilator to medium doses of inhaled corticosteroids (ICS) rather using high doses of ICS alone to control moderate to severe persistent asthma. The aim of this study was to evaluate the clinical outcomes of three medication regimens indicated for Iraqi patients suffering from persistent asthma.      This study was interventional randomized clinical study conducted on a sample of adult Iraqi asthmatic patients in Baghdad City. The study com

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Publication Date
Tue Jun 23 2020
Journal Name
Baghdad Science Journal
Content Based Image Retrieval (CBIR) by Statistical Methods
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            An image retrieval system is a computer system for browsing, looking and recovering pictures from a huge database of advanced pictures. The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic content to a so-called query image. The researchers were developing a new mechanism to retrieval systems which is mainly based on two procedures. The first procedure relies on extract the statistical feature of both original, traditional image by using the histogram and statistical characteristics (mean, standard deviation). The second procedure relies on the T-

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Publication Date
Wed Nov 07 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
الدوریـات الطبیّة العربیّة الإلكترونیّة دراسـة تقویمیـة
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Objective: The aims of research to identify sample of websites of Arabian medical periodicals and exam applying to
standards for publishing on the internet.
Methodology: A survey method is applied about nine medical periodicals websites and data are collected through
forms include five international standards to assessing websites.
Results: of data collected, the following findings are obtained:
1. Through examining website addresses, unsuitability was found in using Universal Resources Locater, because six of
periodicals use com. in URL. While, all of them not relevance commercial but scientific aim.
2. To measure Credibility Standard by adopting numbers values, the results found, four of periodicals obtained (level

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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Agricultural And Statistical Sciences
A COMPARISON BETWEEN SOME HIERARCHICAL CLUSTERING TECHNIQUES
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In this paper, some commonly used hierarchical cluster techniques have been compared. A comparison was made between the agglomerative hierarchical clustering technique and the k-means technique, which includes the k-mean technique, the variant K-means technique, and the bisecting K-means, although the hierarchical cluster technique is considered to be one of the best clustering methods. It has a limited usage due to the time complexity. The results, which are calculated based on the analysis of the characteristics of the cluster algorithms and the nature of the data, showed that the bisecting K-means technique is the best compared to the rest of the other methods used.

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