The current research aims to :
•know the level of social intelligence of the sample as a whole .
. •taraf statistically significant differences in social intelligence between disadvantaged and
non-disadvantaged peers .
To achieve these objectives, the selected sample of Talbhalmrahlh medium and specifically
students of the second grade average, were chosen randomly stratified's (360) students
included sex (male, female) and (deprived of the Father and the non-deprived) for the
academic year (2013-2014) for the province of Baghdad on both sides (Rusafa-Karkh (
As applied to them measurements of social intelligence, which is prepared by the researcher,
having achieved _khasaúsma of psychometric (valid and reliable .(
When analyzing the data were used statistical methods, both when extracting multiple
psychometric properties, crashes or achieve the objectives of the research, including (Pearson
correlation coefficient, and the equation Alvakronbach and samples t-test for one sample and
samples t-test for two independent samples
The researcher found the following results :
.•eetmta the sample of students from the middle school social intelligently .•The existence of statistically significant differences in social intelligence among adolescents
deprived of their parents and their peers who live with their parents, and in favor of the nondeprived
parents .
In light of the findings of the researcher made a number of recommendations and suggestions.
ABSTRACT
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*The communicator performs multiple missions including writing, editing, and collecting info |
The dependable and efficient identification of Qin seal script characters is pivotal in the discovery, preservation, and inheritance of the distinctive cultural values embodied by these artifacts. This paper uses image histograms of oriented gradients (HOG) features and an SVM model to discuss a character recognition model for identifying partial and blurred Qin seal script characters. The model achieves accurate recognition on a small, imbalanced dataset. Firstly, a dataset of Qin seal script image samples is established, and Gaussian filtering is employed to remove image noise. Subsequently, the gamma transformation algorithm adjusts the image brightness and enhances the contrast between font structures and image backgrounds. After a s
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