Social Networks Sites (SNSs) are dominating all internet users' generations, especially the students' communities. Consequently, academic institutions are increasingly using SNSs which leads to emerge a crucial question regarding the impact of SNSs on students' academic performance. This research investigates how and to what degree the use of SNSs affects the students' academic performance. The current research's data was conducted by using drop and collect surveys on a large population from the University of Jordan. 366 undergraduate students answered the survey from different faculties at the university. In order to study the impact of SNSs on student's academic performance, the research hypotheses was tested by using descriptive analysis, T-test and ANOVA. Research results showed that there was a significant impact of SNS on the student's academic performance. Also, there was a significant impact of SNS use per week on the student's academic performance, whereas no differences found in the impact of use of SNSs on academic performance due to age, academic achievement, and use per day to most used sites. The findings of this research can be used to suggest future strategies in enhancing student's awareness in efficient time management and better multitasking that can lead to improving study activities and academic achievements.

Digital watermarking is one of the most powerful tools used in ownership and copyrights protection in digital media. This paper presents a blind digital video watermarking technique based on a combination scheme between the Discrete Wavelet transform in (DWT) and the real Schur Decomposition. The scheme starts with applying two-level DWT to the video scene followed by Schur decomposition in which the binary watermark bits are embedded in the resultant block upper triangular matrix. The proposed technique shows high efficiency due to the use of Schur decomposition which requires fewer computations compared to other transforms. The imperceptibility of the scheme is also very high due to the use of DWT transform; therefore, no visual distortion is noticed in the watermarked video after embedding. Furthermore, the technique proves to be robust against set of standard attacks like: Gaussian, salt and pepper and rotation and some video attacks such as: frame dropping, cropping and averaging. Both capacity and blindness features are also considered and achieved in this technique.

No abstract

The rapid development of information communication technology blazed a trail in our learning, work, and lives. This study was conducted to ascertain the computer and internet literacy level of medical faculties' students. 171 first-year medical students from 4 different medical colleges of the University of Jordan participated in the study. A semi-structured questionnaire was used to collect the data and the data analysis was done by using SPSS, Version 17. The results indicated that most medical students have average 5 or advance knowledge on the basic use of computer and internet. Google was found to be the most commonly used search engine. Also the study found that ICT (Information and Communication Technology) can be a useful tool in medical education but the lack of time, internet connectivity and resources is still a serious constraint.

Problem statement: Video watermarking is well known as the process of embedding copyright information in video bit streams. It had been proposed in recent years to solve the problem of illegal manipulation and distribution of digital video. Approach: In this study, an effective, robust and imperceptible video watermarking algorithm was proposed. This algorithm was based on a cascade of two powerful mathematical transforms; Discrete Wavelets Transform (DWT) and Singular Value Decomposition (SVD). Two different transform domain techniques showed high level of complementary and different levels of robustness against the same attack will be achieved through their combination. Results: The proposed algorithm was tested against imperceptibility and robustness and excellent results were obtained. Conclusion: Experimental results demonstrate the robustness achieved by combining the two transforms.