The current problem is summarized in what is called the development failing experience
in comprehencing the studying materials , so the students will feel worry of repeating failure
in he future , so he would seek blind keeping on heart for the studying material bond this isbad due to the forgetting in the future , one side of thesis research problem is that there is
many contradictory researches result in relation to the learning styles which impose the
nessicity to find results lessen this contradiction . the importance of the research is
summarized in the importance of the subject under the study , in that the researcher ( as in
her knowledge ) did not find a thesrs tackling the subject of the distinguished students in
comporsion to their ordinary mates and according to the gender variable , and this might
constitute an addition to the psychological studies . the research aimed to :-
1- Measure learning styles among total sample of exceptional and ordinary schools comparing
to hypothetical mean for the subscales ( meaning learning style , processing learning style
and symbolic learning style ) .
2- Measure learning styles among the sample comparing to the hypothetical mean for the
subscales ( meaning learning style , processing learning style and symbolic learning style )
according to ( exceptional - ordinary ) and ( meal - female ) .
And the research aimed to identify :-
1- There is no significant differences of the sex ( meal - female ) on the type of school
(exceptional - ordinary ) depend on the meaning learning styles among secondary school
students .
2- There is no significant differences of the sex ( meal - female ) on the type of school
(exceptional - ordinary ) depend on the processing learning styles among secondary
school students .
3- There is no significant differences of the sex ( meal - female ) on the type of school
(exceptional - ordinary ) depend on the symbolic learning styles among secondary school
students .
The researcher support her study by a theoretical frame of memory , and talking to
information processing theory and learning styles. the researcher had depend on ( Tulving ,
1972 ) as learning styles scale and this scale consisted of three styles( meaning learning style ,
processing learning style and symbolic learning style ) , and the scale which was consisted of
30 item for each style 10 items and with three answers , the scale was applied on the fifth
class scientific high school and sample consisted of 400 students in 200 distinguished students
and 200 ordinary students who were choose randomly , and to deal with data statistically we
use number of statistical means like difference analysis " T- test and person coefficient.. act .
After the analysis the researcher had reached to number of result some of which the
exceeding of the distinguished students in each of the above mentioned learning styles and
there is no existence of the effect of gender variable on the learning styles among high school
students , in addition there is no interactive effect between school type variable on the average
marks of learning styles for high school students , and had number of recommendations and
number of suggestions which some of which are exploring learning styles in academic stages
like university and according to college and studying field .
The importance of this research in studying the actor life existence on the stage through the performance art;where as all the literary theatrical dimensions didn't ignore the importance of the actor's performance.
So, it is shed a light on the nature of the scenery in the actor's performance and what its representations in the temporary directions ……..
The research set off from the imitation as a human instinct to the performance of the actor in post-modernity theater; so the researcher found that there is a question must be answered which is :Is the actor live a regression state in his theatrical performance ,or that the performance of the actor connect with collective conscience of human being which is repeated in certain
The elements of theater formation that fall within the spatial experience of the scenography of the show, which the directors work in in the imaginary theater, are important and have an aesthetic, intellectual and cognitive dimension, working to highlight reality in an aesthetic image surrounding space and space. And its relationship to the distinct, multiple and variable spaces above the stage, to produce theatrical signals and endless meanings through the possibility of infinite reconfiguration of the theater's space and its public and private space through the distribution of a group of blocks within the scenic image.
I dealt with in the first chapter (the methodological framework), which includes the research problem identified
The search for wealth and money is a matter of ethics in the Islamic economy
God Almighty said: "We have honored the sons of Adam (and ridiculed the universe and what he said) mocked you
He said, "He who created you from the earth."
And he commanded you, and he said to him, "He who made you."
Land, and the amount of Rezko and
He said: "You love the money with great love."
And then guide him by exaggerating the ethics of Islam and its legislation in Tamkak and not exceeding it.
In order to darken the doors of inflation with wealth Vakar
And the hereafter and achieve satisfaction and fairness in all actions
To ensure that society has a right not to harm others and to abuse the interests of the economy
Is
BMMAM Saleh, EUROPEAN ACADEMIC RESEARCH, 2016
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Machine learning has a significant advantage for many difficulties in the oil and gas industry, especially when it comes to resolving complex challenges in reservoir characterization. Permeability is one of the most difficult petrophysical parameters to predict using conventional logging techniques. Clarifications of the work flow methodology are presented alongside comprehensive models in this study. The purpose of this study is to provide a more robust technique for predicting permeability; previous studies on the Bazirgan field have attempted to do so, but their estimates have been vague, and the methods they give are obsolete and do not make any concessions to the real or rigid in order to solve the permeability computation. To
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class
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