GENERALIZED ANXIETY DISORDER AND ITS ASSOCIATED FACTORS AMONG FEMALE STUDENTS

Background and Aim: To determine the Generalized Anxiety Disorder and its association with factors like hormonal changes, chronic illness among female students of university. Methodology: Perceptions and preferences of Female Students were determined in well-organized Institute (Superior University) with ages between 16-28 years old of all disciplines. Electronic self-administrated questionnaires consisting of two parts; demographics factors (Age, Gender, Designation, education Discipline, socioeconomic status and medical history) and Generalized Anxiety Disorder GAD-7, were then filled by the participated female students with sample size of 231. Then the perceptions and preferences were evaluated using a pre validated questionnaire (GAD-7) from previous research article. Results: A total of 231 responses were returned. All respondents were females. About (62.7%) of total respondents reported feeling nervous, anxious, or on edge to some degree; 10% of respondents said that they experience this feeling nearly every day. A significant proportion of respondents reported mild to moderate anxiety levels. The mean score of anxiety scale was 3.87±3.32 with minimum and maximum score of 0 and 19. The study findings give us a better considerate that Traumatic disorders (39.4 %), hormone issues (45.2%), were the main causes of anxiety. 39.8% indicated that they had a family history of anxiety. Overall, moderate to high levels of anxiety among the participants were observed. Conclusion: These results illustrate the need to devise treatment strategies to alleviate symptoms of generalized anxiety and reduce the prevalence of Generalized Anxiety Disorder among students. It is suggested that to decrease the level of anxiety among university students, regular counseling sessions should be implemented.

A Power Efficient Data Volume Based-Mobile Data Collection Dv-Mdc in Wireless Sensor Networks Wsns

The Wireless Sensor Networks (WSNs) is a vast and widespread domain of computer networks. WSNs have appeared as one of the most attractive domain for the future research and are one of the most researched domains during the last decade. The WSNs have some inherent limitation like limited bandwidth and extreme energy constraint etc. These limitations challenge the research community to devise optimum operating environment for WSNs. Data gathering in WSNs is of prime importance considering these limitations and it is desirable to devise efficient schemes for data gathering. In order to optimize the operating environment of WSNs, the inherent limitations (limited bandwidth, extreme energy constraint, etc.) are required to be tackled efficiently. The data gathering and transmission operations of WSNs are major energy utilizers, hence these operations of WSNs are required to be optimized. In this research, a new scheme of data gathering for WSNs based upon the amount of data volume sensed by the sensors has been proposed. The sensors send a one bit beacon message to indicate the availability of sensed data in their buffer. DV-MDC exploits this fact and visits only those nodes which have generated some data during a particular round. Consequently, unnecessary visits to the nodes are avoided which leads to energy efficiency. The MDC visits only those sensors which had sensed the data and not the entire sensor field. The proposed data gathering scheme has been validated with the help of simulation. The simulation results show that DV-MDC offers better performance in terms of throughput and energy efficiency. The results are also validated by a comprehensive comparative analysis.