The effects of Internet use on university’s students:The effects of Internet use on university’s students:“A Study on a Sample of Jordanian University’s students "This survey aims to identify the most important effects of Internet use on Jordanian public and private universities’ students by monitoring and analyzing a set of indicators that show the quality of the effects on specific fields such as cultural, social, psychological, moral and political effects .To achieve these goals, the study attempts to answer the following questions:1. What are the effects of Internet’s use on students?2. What is the relationship between the effects and demographic variables such as gender, age, family size and academic level and specialization. The population of our study is four public and private Jordanian universities. The questionnaire was distributed to study population in various specialties in all colleges of the universities by using available sample . The sample of the study was 891students . The males sample was( 55.22%) while the females sample was (44.78%( The data were analyzed by using descriptive statistical and analytical statistical measures by using the Statistical Package for Social Sciences (SPSS). The study has discussed the types of the effects of the internet on our samples in the following fields: cognitive and scientific influences, social and recreational influences, psychological effects, value effects, political influences, negative effects.It is clear that the "effect fields" of the Internet use on university’s students have high internal consistency values.In the field of "negative effects" the stability values ranged between (0.782) and (0.883) , And for the field of "value effects" indicate appropriate stability values.The results showed that the mean field of the "effects of Internet use" for university’s students was achieved to a medium extent. The mean of this field (2.01) was of relative importance (67.0). The level of all fields as a whole was average. The mathematical mean ranged from 1.90 to 2.23. In the first place was the "cognitive and scientific influences" with a mean of (2.23) and a relative importance (74.33). The social and recreational influences ranked second with a mean of 2.06 and a relative importance of 68.67. Internet use is observed to be medium, with average (1.94) relative importance (64.67), Finally, the "value effects" came with a mean (1.90) with relative importance (63.33).The results also indicate that "global electronic sites " are in the first rank electronic sites to be visited by the students , followed by "Arab sites" while "local sites" came in last rank. It indicates that the majority of students have a particular site they visit frequently.
Based on Lyapunov exponent criterion, the aircraft lateral-directional stability during critical flight cases is presented. A periodic motion or limit cycle oscillation isdisplayed. A candidate mechanism for the wing rock limit cycle is the inertia coupling between an unstable lateral-directional (Dutch roll) mode with stable longitudinal (short period) mode. The coupling mechanism is provided by the nonlinear interaction of motion related terms in the complete set equations of motion. To analyze the state variables of the system, the complete set of nonlinear equations of motion at different high angles of attack are solved. A novel analysis including the variation of roll angle as a function of angle of attack is proposed. Furthermore
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Companies compete greatly with each other today, so they need to focus on innovation to develop their products and make them competitive. Lean product development is the ideal way to develop product, foster innovation, maximize value, and reduce time. Set-Based Concurrent Engineering (SBCE) is an approved lean product improvement mechanism that builds on the creation of a number of alternative designs at the subsystem level. These designs are simultaneously improved and tested, and the weaker choices are removed gradually until the optimum solution is reached finally. SBCE implementations have been extensively performed in the automotive industry and there are a few case studies in the aerospace industry. This research describe the use o
... Show MoreIn this paper, an approach for object tracking that is inspired from human oculomotor system is proposed and verified experimentally. The developed approach divided into two phases, fast tracking or saccadic phase and smooth pursuit phase. In the first phase, the field of the view is segmented into four regions that are analogue to retinal periphery in the oculomotor system. When the object of interest is entering these regions, the developed vision system responds by changing the values of the pan and tilt angles to allow the object lies in the fovea area and then the second phase will activate. A fuzzy logic method is implemented in the saccadic phase as an intelligent decision maker to select the values of the pan and tilt angle based
... Show MoreThis research has been devoted to the study narratines of the metaphysical concepts in Egypt during the Mamluk era ( 648-923 AD/1250-1517 AH). The study consists of three sections and an introductionwhich highlights the study at that time for its great impaction public life in Egypt.
The principal components analysis is used in analyzing many economic and social phenomena; and one of them is related to a large group in our society who are the university instructors. This phenomenon is the delay occurred in getting university instructor to his next scientific title. And as the determination of the principal components number inside the principal components depends on using many methods, we have compared between three of these methods that are: (BARTLETT, SCREE DIAGRAM, JOLLIFFE).
We concluded that JOLLIFFE method was the best one in analyzing the studying phenomenon data among these three methods, we found the most distinguishing factors effecting on t
... Show MoreIn general, researchers and statisticians in particular have been usually used non-parametric regression models when the parametric methods failed to fulfillment their aim to analyze the models precisely. In this case the parametic methods are useless so they turn to non-parametric methods for its easiness in programming. Non-parametric methods can also used to assume the parametric regression model for subsequent use. Moreover, as an advantage of using non-parametric methods is to solve the problem of Multi-Colinearity between explanatory variables combined with nonlinear data. This problem can be solved by using kernel ridge regression which depend o
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