The present study is a linguistic study of comment clauses in the American Series „Friends‟ .Comment clauses refer to those clauses which comment on the content of the main clause or the attitude of the speaker towards the way of speaking .The problem of this study is to answer the following questions ; what types of comment clauses can be used in the face- to –face conversations , for what functions these comment clauses could be used , and how these comment clauses are used by the participants of these conversations . This study is a qualitative one . The study aims to investigate the types of comment clauses used in the American Series “Friends‟. The study also aims to investigate the pragmatic functions of these comment clauses and how they are used by the participants of the conversations in the American Series „Friends‟ .The researcher assumes that comment clauses are highly used in the American Series „Friends‟ and ,due to the variety of the conversations , many types of comment clauses are used in these conversations . The data of the study is conversations of the first episode of seasons ( 1,2,5,6,9,10) of the American Series „Friends‟ .The data of the study has been analyzed by adopting Quirk et al (1985) classification and functions of comment clauses . The analysis of the conversations shows that the type of comment clauses used in these conversations is that which is similar to the matrix of the main clause. Throughout the whole conversations , only the following forms of comment clauses are used : „I mean‟, „you know‟ , and „I know‟. The analysis also shows that these comment clauses occurred in the initial , middle , and final positions of these conversations .The findings reveal that these comment clauses have different pragmatic functions ; to express the speaker‟s certainty of his main statement , to put things right and express the main statement probably ,to attract the listener‟s attention ,to make sure that the listener fully understands the content of communication , and to express the speaker‟s informality and warmth towards the hearer .
Artificial Neural networks (ANN) are powerful and effective tools in time-series applications. The first aim of this paper is to diagnose better and more efficient ANN models (Back Propagation, Radial Basis Function Neural networks (RBF), and Recurrent neural networks) in solving the linear and nonlinear time-series behavior. The second aim is dealing with finding accurate estimators as the convergence sometimes is stack in the local minima. It is one of the problems that can bias the test of the robustness of the ANN in time series forecasting. To determine the best or the optimal ANN models, forecast Skill (SS) employed to measure the efficiency of the performance of ANN models. The mean square error and
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Abstract
In this research we study the wavelet characteristics for the important time series known as Sunspot, on the aim of verifying the periodogram that other researchers had reached by the spectral transform, and noticing the variation in the period length on one side and the shifting on another.
A continuous wavelet analysis is done for this series and the periodogram in it is marked primarily. for more accuracy, the series is partitioned to its the approximate and the details components to five levels, filtering these components by using fixed threshold on one time and independent threshold on another, finding the noise series which represents the difference between
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Summary
The fundamental turning point in American policy towards the Iran was the success of the Islamic revolution in Iran 1979 . Since than U S policy has been hostile to Iran . After the events 11 September 2001 , there was an American idea of dialogue with some countries opposed to US policy , including Iran . In 2004 the United States launched the Greater Middle East project , which contain a range of political , economic and cultural proposals for the region , all of which were in the interest of the United States and ( Israel ) , which Iran opposed . The failure of U S projects in region prompted the United States to agree with Iran on the nuclear file . On 8 May 2018 U S President Donald Trump of
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TV drama has gone through many developmental stages until it reached and settled in the form of TV series of thirty episodes. Alongside the development of the TV technologies and the widespread of satellite channels, the form of the TV drama has changed and the series has consisted of two parts and then parts multiplied until they amounted to ten parts and more. This form of TV drama has become an artistic phenomenon, that once the series is displayed on one of the channels and achieves a noticeable success, its producers work to produce a second part of that series and so on. This form of TV drama has remained away from being researched.
This has urged the researcher to accomplish this study entitled (TV series of multiple parts fro
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The reality of teaching the Arabic language rules is not satisfactory, as the pedagogical methods used do not help students develop their mental skills, especially critical thinking skills. They are often traditional in terms of teaching students, who are passive, passive, often passive, active, and often active, their listening task, and the teacher's task of narrating facts and judgments. It is a blind simulation student, a dependency on others, and a weak spirit of creativity, innovation, and opinion. The opinions of educators and teachers almost agree on the reasons for students' weakness in learning the rules of Arabic, and that the reason lies in the way of teaching. The difficulty or the ease of the rules of Arabic does not lie in th
... Show MoreSimulation of the Linguistic Fuzzy Trust Model (LFTM) over oscillating Wireless Sensor Networks (WSNs) where the goodness of the servers belonging to them could change along the time is presented in this paper, and the comparison between the outcomes achieved with LFTM model over oscillating WSNs with the outcomes obtained by applying the model over static WSNs where the servers maintaining always the same goodness, in terms of the selection percentage of trustworthy servers (the accuracy of the model) and the average path length are also presented here. Also in this paper the comparison between the LFTM and the Bio-inspired Trust and Reputation Model for Wireless Sensor Network
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