Abstract:
Thanks for people's God who brought the great book, prays and peace for
his prophet "Mohammad" the master of missioners to all people.
Allah created human being in it's best way and give him a soul thus ,
he will be a human with faith that has movement and life and the centre of his
soul is the sense which differentiate human from other animals. This
sensation generated from different senses that made the soul.
God had given him a protected heart, talkative tounge and clear seeing
to understand with consideration, so he will prevent himself of falling in wrong
by thinking and situation that he will pass by.
The significance and probability of sensation had talken our attention in
Qur'an . Hence , it's considered to be our subject in this research, and to find
different meaning for each utterance or sensation in the great Qur'an
according to the sources of usage whether it is a true or probable meaning
and each of them might have more than twenty or less meaning.
They stated that this phenomena of significant pronunaction, which
reveals differentiation and richness of the great Qur'an characteristics and
miracle in it appearance of miracle in it.
The leader of this section of understanding for the words and
understanding for the words and their meaning in AL-Qur'an was the Imam
"Ali bin Abu Talib" (greet on him) through him people recognize, in more than
one way, that AL-Qur'an has many sides or different meaning for each
expression.
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Forecasting is one of the important topics in the analysis of time series, as the importance of forecasting in the economic field has emerged in order to achieve economic growth. Therefore, accurate forecasting of time series is one of the most important challenges that we seek to make the best decision, the aim of the research is to suggest employing hybrid models to predict daily crude oil prices. The hybrid model consists of integrating the linear component, which represents Box Jenkins models, and the non-linear component, which represents one of the methods of artificial intelligence, which is the artificial neural network (ANN), support vector regression (SVR) algorithm and it was shown that the proposed hybrid models in the predicti
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The modal considered is a 36 storey square high rise reinforced concrete building. By constructing a discrete lumped mass model, and using frequency-based response function, two systems of dampers, parallel and series systems are studied. The maximum lateral load at the top of the building is calculated, and this load w
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