Jordan University of Science and Technology

About: Jordan University of Science and Technology is a education organization based out in Irbid, Irbid, Jordan. It is known for research contribution in the topics: Population & Medicine. The organization has 7582 authors who have published 13166 publications receiving 298158 citations. The organization is also known as: JUST.

The association between periodontal disease and obesity among adults in Jordan.

Abstract: Aim: To determine the relationship between periodontitis and overweight/obesity among Jordanians. Material and Methods: A systematic random sample of 340 persons aged between 18 and 70 years was selected from those who accompanied patients during their visit to the outpatient clinics in the medical centre of Jordan University of Science and Technology in north of Jordan. All participants underwent periodontal examination, had anthropometric measurements, and completed the questionnaire. Periodontitis was defined as presence of four or more teeth with one or more sites with probing pocket depth 4 mm and clinical attachment loss 3 mm. Results: Only 14% of normal weight participants had periodontal disease whereas 29.6% of overweight and 51.9% of obese participants had periodontal disease. Periodontitis was more prevalent among subjects with high waist circumference (WC) and among subjects with high waist-to-hip ratio. After adjusting for important variables, only body mass index (BMI)-defined obesity [odds ratio (OR)=2.9, 95% confidence interval (CI): 1.3, 6.1], high WC (OR=2.1, 95%CI: 1.2, 3.7), and high fat per cent (OR=1.8, 95% CI: 1.03, 3.3) remained significantly associated with increased odds of periodontitis. Conclusion: BMI-defined obesity, high WC, and high fat per cent were significantly associated with increased odds of having periodontitis.

Linear and Circular Array Optimization: a Study Using Particle Swarm Intelligence

Abstract: Linear and circular arrays are optimized using the particle swarm optimization (PSO) method. Also, arrays of isotropic and cylindrical dipole elements are considered. The parameters of isotropic arrays are elements excitation amplitude, excitation phase and locations, while for dipole array the optimized parameters are elements excitation amplitude, excitation phase, location, and length. PSO is a high-performance stochastic evolutionary algorithm used to solve N-dimensional problems. The method of PSO is used to determine a set of parameters of antenna elements that provide the goal radiation pattern. The efiectiveness of PSO for the design of antenna arrays is shown by means of numerical results. Comparison with other methods is made whenever possible. The results reveal that design of antenna arrays using the PSO method provides considerable enhancements compared with the uniform array and the synthesis obtained from other optimization techniques.

Levodopa slows prosaccades and improves antisaccades: an eye movement study in Parkinson’s disease

Abstract: Background: The integrity of frontal systems responsible for voluntary control and their interaction with subcortical regions involved in reflexive responses were studied in patients with Parkinson’s disease (PD). Previous studies have shown that patients with PD have impaired executive function, including deficits in attention, motor planning and decision making. Methods: Executive function was measured through eye movements: reflexive (stimulus driven) prosaccades and voluntary (internally guided) antisaccades. Patients with advanced idiopathic PD, off and on their optimal levodopa therapy, were tested on a prosaccade and an antisaccade task and compared with matched controls. Results: Levodopa significantly increased response time for reflexive prosaccades and reduced error rate for voluntary antisaccades. Conclusions: Consistent with our proposed model, patients with PD in the medicated state are better able to plan and execute voluntary eye movements. These findings suggest levodopa improves function of the voluntary frontostriatal system, which is deficient in PD.

Sentiment Analysis in Arabic tweets

Abstract: Social media platforms such as blogs, social networking sites, content communities and virtual worlds are tremendously becoming one of the most powerful sources for news, markets, industries, and much more They are a wide platform full of thoughts, emotions, reviews and feedback, which can be used in many aspects Despite these great avails, and with the increasingly enormous number of Arabic users on the internet, little research has tied these two together in a high and accurate professional manner [1] This paper deals with Arabic Sentiment Analysis We developed a framework that makes it possible to analyze Twitter comments or “Tweets” as having positive, negative or neutral sentiments This can be applied in a wide range of applications ranging from politics to marketing This framework has many novel aspects such as handling Arabic dialects, Arabizi and emoticons Also, crowdsourcing was utilized to collect a large dataset of tweets