The current search aims to identify First: To measure the level of authoritarian personality among the students of the sample as a whole. Second: Measurement of differences in the level of authoritarian personality among students in the middle school according to the following variables 0.Science (literary, scientific) 8. Sex (male - female) Third: the level of control site level among the students of the sample as a whole. Ra'aa: Measurement of differences in the level of the control site among junior students according to the following variables 0.Science (literary, scientific) 8. Sex (male - female) Fifth: Explain the relationship between the authoritarian personality and the locus of control among the students of the research sample. In order to achieve the objectives of the current research, the sample was randomized by the random method of 061 students from the middle school of the third directorate in accordance with the gender variables (male and female) and the academic and academic specialization (8105-8106) In order to measure the level of authoritarian personality in the students, the researcher built the measure of authoritarian personality, the number of paragraphs (51), after being presented to a committee of arbitrators and experts in this field, which is the apparent truth, extracted the strength of the standard of the scale paragraphs using the method of the two extremes and using the test of two independent samples, (1.15) except two paragraphs (2,82) were excluded from the scale because it is less than the level of significance required so that the number of paragraphs of the scale (42) (3) areas. After the calculation of the construction accuracy of the scale and the stability of the scale was calculated in the Vaccronbach method with a consistency coefficient (1.26). As for the measurement of the site of control, the researcher adopted the measure of sweetness 0121 (52), after it was modified. The necessary cytometric properties of the apparent honesty and the validity indicators of the structure of the two extremes were obtained and using Pearson correlation coefficient (2) were excluded because they were less than the required level of significance. If the scale became final (51), it was divided into (1) fields. The consistency of the scale was obtained by the Vaccronbach method with a consistency coefficient of 1.28. The researcher reached the following results: 0. The middle school students overcome them with a tolerant personality in their behavior. 8. There are no statistically significant differences in the authoritarian personality by gender. 3. There are no statistically significant differences for the authoritarian personality by variable (specialization). 4 - that the junior high school students in the direction of internal control and external in general. 5. There are statistically significant differences in the location of the locality according to the sex variable. The males tend to control their position internally. 6. There are no statistically significant differences in the location of the control by variable (specialization). 2. There is no statistically significant correlation between the authoritarian personality and the locus of control. In the light of the findings of the researcher, I made a number of conclusions, recommendations and suggestions mentioned in chapter .
KE Sharquie, AA Noaimi, WK Al-Janabi, Journal of Cosmetics, Dermatological Sciences and Applications, 2013
KE Sharquie, AA Khorsheed, AA Al-Nuaimy, Saudi Medical Journal, 2007 - Cited by 91
The present work evaluated the differences in mechanical properties of two athletic prosthetic feet samples when subjected to impact while running. Two feet samples designated as design A and B were manufactured using layers of different orientations of woven glass fiber reinforced with unsaturated polyester resin as bonding epoxy. The samples’ layers were fabricated with hand lay-up method. A theoretical study was carried out to calculate the mechanical properties of the composite material used in feet manufacturing, then experimental load-deflection test was applied at 0 degree position and 25 degree dorsiflexion feet position and impact test were applied for both feet designs to observe the behavior
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This paper presents a proposed method by using cascade-forward neural network to simulate volterra integral equations solutions. This method depends on training cascade-forward neural network by inputs which represent the mean of volterra integral equations solutions, the target of cascade-forward neural network is to get the desired output of this network. Cascade-forward neural
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Many academics have concentrated on applying machine learning to retrieve information from databases to enable researchers to perform better. A difficult issue in prediction models is the selection of practical strategies that yield satisfactory forecast accuracy. Traditional software testing techniques have been extended to testing machine learning systems; however, they are insufficient for the latter because of the diversity of problems that machine learning systems create. Hence, the proposed methodologies were used to predict flight prices. A variety of artificial intelligence algorithms are used to attain the required, such as Bayesian modeling techniques such as Stochastic Gradient Descent (SGD), Adaptive boosting (ADA), Deci
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With the recent developments of technology and the advances in artificial intelligent and machine learning techniques, it becomes possible for the robot to acquire and show the emotions as a part of Human-Robot Interaction (HRI). An emotional robot can recognize the emotional states of humans so that it will be able to interact more naturally with its human counterpart in different environments. In this article, a survey on emotion recognition for HRI systems has been presented. The survey aims to achieve two objectives. Firstly, it aims to discuss the main challenges that face researchers when building emotional HRI systems. Secondly, it seeks to identify sensing channels that can be used to detect emotions and provides a literature review
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The Adaptive Optics technique has been developed to obtain the correction of atmospheric seeing. The purpose of this study is to use the MATLAB program to investigate the performance of an AO system with the most recent AO simulation tools, Objected-Oriented Matlab Adaptive Optics (OOMAO). This was achieved by studying the variables that impact image quality correction, such as observation wavelength bands, atmospheric parameters, telescope parameters, deformable mirror parameters, wavefront sensor parameters, and noise parameters. The results presented a detailed analysis of the factors that influence the image correction process as well as the impact of the AO components on that process
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Energy savings are very common in IoT sensor networks because IoT sensor nodes operate with their own limited battery. The data transmission in the IoT sensor nodes is very costly and consume much of the energy while the energy usage for data processing is considerably lower. There are several energy-saving strategies and principles, mainly dedicated to reducing the transmission of data. Therefore, with minimizing data transfers in IoT sensor networks, can conserve a considerable amount of energy. In this research, a Compression-Based Data Reduction (CBDR) technique was suggested which works in the level of IoT sensor nodes. The CBDR includes two stages of compression, a lossy SAX Quantization stage which reduces the dynamic range of the
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