University of Jordan

About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Medicine. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.

The impact of knowledge sharing enablers on knowledge sharing capability: an empirical study on jordanian telecommunication firms

Abstract: The aim of this study was to examine the impact of knowledge sharing enablers on knowledge sharing capability. This study used a questionnaire where the scale is adapted to measure those dimensions of knowledge sharing enablers (i.e. enjoyment in helping others, knowledge self-efficacy, top management support, organizational rewards, and ICT use) and knowledge sharing capability. This study targeted the telecommunication companies in Jordan, namely Orange and Umniah. The suitable returned questionnaires accounted for 367 out of 600. Multiple regression analysis was used to explore the impact of each of the knowledge sharing enablers on knowledge sharing. This study found that knowledge sharing enablers affect knowledge sharing. Also, it found that the most influential dimension of knowledge sharing was enjoyment in helping others; followed by ICT use, organizational rewards, and then top management support. However, knowledge self-efficacy did not have a statistically significant effect over knowledge sharing.

Border Surveillance With WSN Systems in a Distributed Manner

Abstract: Border surveillance is an application of wireless sensor networks (WSNs) and it is mainly used for security purpose. The present issue of implementing this application is a barrier coverage in WSNs. Due to energy constraints, minimizing energy consumption of sensors is a critical challenge. This paper presents a new distributed approach to the border surveillance in WSNs in order to maximize the number of barriers and minimize energy consumption. We use a learning automata scheme in our approach to solve this problem. We present distributed border surveillance (DBS) algorithm that aims to find the minimum possible number of nodes in each barrier to monitor the network borders. In DBS approach, learning automaton assists to find the best nodes to assure barrier coverage at any moment. The algorithm was implemented through computer simulations and compared to the existing competing algorithms. The simulation results show that the DBS scheme outperformed some state-of-art barrier-coverage algorithms.

Prevalence and Trends in Kidney Stone Among Adults in the USA: Analyses of National Health and Nutrition Examination Survey 2007-2018 Data.

Abstract: Background The contemporary prevalence and trends of kidney stones are not clear. Objective To evaluate the gender-specific prevalence and trends in kidney stones among the US population. Design, setting, and participants Data on self-reported history of kidney stones from 34 749 participants aged ≥20 yr from the National Health and Nutrition Examination Survey (NHANES) were analyzed. Intervention Six 2-yr study cycles (2007–2008 to 2017–2018) of nationally representative series of surveys evaluated the health status of the US population. Outcome measurements and statistical analysis Weighted prevalence estimates of kidney stones and 95% confidence intervals (CIs) were calculated in each study cycle. Multivariable-adjusted logistic regression models were used to investigate the temporal trends. Results and limitations In the 2017–2018 cycle, the prevalence of kidney stones was 10.9% (CI: 9.3–12.7) in men as compared with 9.5% (CI: 8–11.2) in women. The prevalence of kidney stones increased steadily from 6.5% in the 2007–2008 cycle to 9.4% in the 2017–2018 cycle (ptrend = 0.001) among women but not among men (ptrend = 0.1). These trends remained after adjusting for sociodemographic correlates in both genders. Sensitivity analyses further adjusting for dietary information held the same results in trends (men: ptrend = 0.15; women: ptrend = 0.001). Non-Hispanic white ethnicity, obesity, gout, history of two or more pregnancies, menopause, and using female hormones were associated with a higher prevalence of kidney stones. The main limitation is the cross-sectional design of the study. Conclusions Although kidney stones are more common in men than in women in the USA, the gender gap in kidney stone prevalence appears to be closing in the past decade. Kidney stones are consistently higher among non-Hispanic white and obese, and women who have had multiple pregnancies or have used female hormone therapy. Patient summary The prevalence of kidney stones remains higher in adult US men than in women, but the trend has been increasing only in women, closing the gender gap in kidney stone prevalence.

Stability and non-standard finite difference method of the generalized Chua's circuit

Abstract: In this paper, we develop a framework to obtain approximate numerical solutions of the fractional-order Chua's circuit with Memristor using a non-standard finite difference method. Chaotic response is obtained with fractional-order elements as well as integer-order elements. Stability analysis and the condition of oscillation for the integer-order system are discussed. In addition, the stability analyses for different fractional-order cases are investigated showing a great sensitivity to small order changes indicating the poles' locations inside the physical s-plane. The Grunwald-Letnikov method is used to approximate the fractional derivatives. Numerical results are presented graphically and reveal that the non-standard finite difference scheme is an effective and convenient method to solve fractional-order chaotic systems, and to validate their stability.