Objective(s): The aim of this study is to assess the impact of social phobia upon self-esteem of nursing
collegians.
Methodology: A Cross-sectional study is carried out at University of Baghdad, Karkuk, Thi-Qar, and Kufa,
colleges of nursing from Feb 8
th
, 2011 to Sep. 25th, 2011. A sample of all first class nursing collegians (N=330)
were selected from a probability sample of nursing colleges by dividing Iraq to three geographical areas (South,
North, and Middle Euphrates) in addition to Baghdad. The data were collected through the use of selfadministered
technique as a mean for data collection, by using a questionnaire that consists of three parts:
First part was the socio-demographic data form; the second one contains the Index of Self-esteem Scale (ISE);
and the third one that is concerned with Social Phobia instrument which includes Social Phobia Inventory (SPI)
Scale, and Social Interaction Anxiety (SIA) scale. Reliability of the questionnaire was determined through a pilot
study and the validity was achieved through a panel of (17) experts. The data were described statistically and
analyzed through use of the descriptive and inferential statistical analysis procedures.
Results: The study results show the effect of the index of self-esteem scale was 80 %, whereas the effect of the
Social Interaction Anxiety was 15%, followed by the Social Phobia Inventory (5.8%). Social phobia has a
significant impact upon nursing collegians’ self-esteem.
Conclusion: The study concluded that most of the nursing collegians have low self-esteem and this level was
probably affected by the variable of social phobia.
Recommendations: The study recommended providing opportunities for students to participate in
organizations, conferences, and study projects to elevate their level of self esteem and constructing and
implementing educational programs for secondary schools teachers about how to decrease social phobia
among their pupils.
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This paper proposes a self organizing fuzzy controller as an enhancement level of the fuzzy controller. The adjustment mechanism provides explicit adaptation to tune and update the position of the output membership functions of the fuzzy controller. Simulation results show that this controller is capable of controlling a non-linear time varying system so that the performance of the system improves so as to reach the desired state in a less number of samples.
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The internet is a basic source of information for many specialities and uses. Such information includes sensitive data whose retrieval has been one of the basic functions of the internet. In order to protect the information from falling into the hands of an intruder, a VPN has been established. Through VPN, data privacy and security can be provided. Two main technologies of VPN are to be discussed; IPSec and Open VPN. The complexity of IPSec makes the OpenVPN the best due to the latter’s portability and flexibility to use in many operating systems. In the LAN, VPN can be implemented through Open VPN to establish a double privacy layer(privacy inside privacy). The specific subnet will be used in this paper. The key and certificate will
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