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 .
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Ground Penetrating Radar (GPR) is a nondestructive geophysical technique that uses electromagnetic waves to evaluate subsurface information. A GPR unit emits a short pulse of electromagnetic energy and is able to determine the presence or absence of a target by examining the reflected energy from that pulse. GPR is geophysical approach that use band of the radio spectrum. In this research the function of GPR has been summarized as survey different buried objects such as (Iron, Plastic(PVC), Aluminum) in specified depth about (0.5m) using antenna of 250 MHZ, the response of the each object can be recognized as its shapes, this recognition have been performed using image processi |
Thirty local fungal isolates according to Aspergillus niger were screened for Inulinase production on synthetic solid medium depending on inulin hydrolysis appear as clear zone around fungal colony. Semi-quantitative screening was performed to select the most efficient isolate for inulinase production. the most efficient isolate was AN20. The optimum condition for enzyme production from A. niger isolate was determined by busing a medium composed of sugar cane moisten with corn steep liquor 5;5 (v/w) at initial pH 5.0 for 96 hours at 30 0C . Enzyme productivity was tested for each of the yeast Kluyveromyces marxianus, the fungus A. niger AN20 and for a mixed culture of A. niger and K. marxianus. The productivity of A. niger gave the highest
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... Show MoreModified algae with nano copper oxide (CuO) were used as adsorption media to remove tetracycline (TEC) from aqueous solutions. Functional groups, morphology, structure, and percentages of surfactants before and after adsorption were characterised through Fourier-transform infrared (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and energy-dispersive spectroscopy (EDS). Several variables, including pH, connection time, dosage, initial concentrations, and temperature, were controlled to obtain the optimum condition. Thermodynamic studies, adsorption isotherm, and kinetics models were examined to describe and recognise the type of interactions involved. Resultantly, the best operation conditions were at pH 7, contact time
... Show MoreClinical keratoconus (KCN) detection is a challenging and time-consuming task. In the diagnosis process, ophthalmologists must revise demographic and clinical ophthalmic examinations. The latter include slit-lamb, corneal topographic maps, and Pentacam indices (PI). We propose an Ensemble of Deep Transfer Learning (EDTL) based on corneal topographic maps. We consider four pretrained networks, SqueezeNet (SqN), AlexNet (AN), ShuffleNet (SfN), and MobileNet-v2 (MN), and fine-tune them on a dataset of KCN and normal cases, each including four topographic maps. We also consider a PI classifier. Then, our EDTL method combines the output probabilities of each of the five classifiers to obtain a decision b