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 .
This paper presents a statistical study for a suitable distribution of rainfall in the provinces of Iraq
Using two types of distributions for the period (2005-2015). The researcher suggested log normal distribution, Mixed exponential distribution of each rovince were tested with the distributions to determine the optimal distribution of rainfall in Iraq. The distribution will be selected on the basis of minimum standards produced some goodness of fit tests, which are to determine
Akaike (CAIC), Bayesian Akaike (BIC), Akaike (AIC). It has been applied to distributions to find the right distribution of the data of rainfall in the provinces of Iraq was used (maximu
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مدة تولي رئاسة السلطة في الفكر السياسي الاسلامي المعاصر
The research risk of flooding on six water basins located in the eastern part of the western plateau, reached total area of the basin (22,998.9 km 2), has reached all the Basin area (basin to time 7056.1 km2 basin by 3585 km 2, Bath Alheiazi 6404 km 2, Abu beasts 544.1 km2 basin Abu Shannan 144.6 km 2, Bath Valley Faraj 5265.1 km 2), where it was specifically spatial degree of this risk by studying some of the hydrological basin transactions directly related to operations spate runoff study area and the occurrence of flood risks on the surface of ponds.
The rabid development in life and technology arouse the anxiety, stress, and fear of people. Accordingly the maladjustment and deceived conceptions appear in their behaviors which influence their selves and others.
These changes and development in society influence the university students' life, personality, thoughts and behavior. An exceeding in anxiety and fear has negative effect on everyday life activities and. negative effect on both mind and body.
The problem of the study is centered around cognitive conception anxiety of the university students.
The university students have their special importance in society and nation development, therefore many studies search in their personality and the effect of anxiety on them to fi
This research paper tries to show the significance of the narrative structure in the television advertisement and its connotations. The researchers chose the annual advertisement of Zain Mobile Telecommunication Company for the year 2020, which shed light on the global Corona pandemic crisis. The idea of the advertisement won wide approval as it focused on the suffering that everyone is witnessing like medical and security personnel in particular, and family relationships consequences.
In addition to the positive global interaction with the message presented by the Company in these exceptional circumstances. The advertisement, which lasted for 2.35 minutes, exceeded 13 million views in a short period of time. This prompted us to choos
Deep Learning Techniques For Skull Stripping of Brain MR Images
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One of the diseases on a global scale that causes the main reasons of death is lung cancer. It is considered one of the most lethal diseases in life. Early detection and diagnosis are essential for lung cancer and will provide effective therapy and achieve better outcomes for patients; in recent years, algorithms of Deep Learning have demonstrated crucial promise for their use in medical imaging analysis, especially in lung cancer identification. This paper includes a comparison between a number of different Deep Learning techniques-based models using Computed Tomograph image datasets with traditional Convolution Neural Networks and SequeezeNet models using X-ray data for the automated diagnosis of lung cancer. Although the simple details p
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The convolutional neural networks (CNN) are among the most utilized neural networks in various applications, including deep learning. In recent years, the continuing extension of CNN into increasingly complicated domains has made its training process more difficult. Thus, researchers adopted optimized hybrid algorithms to address this problem. In this work, a novel chaotic black hole algorithm-based approach was created for the training of CNN to optimize its performance via avoidance of entrapment in the local minima. The logistic chaotic map was used to initialize the population instead of using the uniform distribution. The proposed training algorithm was developed based on a specific benchmark problem for optical character recog
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