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.

Circular antenna array synthesis using firefly algorithm

Abstract: In this article, the design of circular antenna arrays CAAs and concentric circular antenna arrays CCAAs of isotropic radiators with optimum side lobe level SLL reduction is studied. The newly proposed global evolutionary optimization method; namely, the firefly algorithm FA is used to determine an optimum set of weights and positions for CAAs, and an optimum set of weights for CCAAs, that provides a radiation pattern with optimum SLL reduction with the constraint of a fixed major lobe beamwidth. The FA represents a new algorithm for optimization problems in electromagnetics. It is shown that the FA results provide a SLL reduction that is better than that obtained using well-known algorithms, like the particle swarm optimization, genetic algorithm GA, and evolutionary programming. © 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:139-146, 2014.

TransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics

Abstract: We present TransitLabel, a crowd-sensing system for automatic enrichment of transit stations indoor floorplans with different semantics like ticket vending machines, entrance gates, drink vending machines, platforms, cars' waiting lines, restrooms, lockers, waiting (sitting) areas, among others. Our key observations show that certain passengers' activities (e.g., purchasing tickets, crossing entrance gates, etc) present identifiable signatures on one or more cell-phone sensors. TransitLabel leverages this fact to automatically and unobtrusively recognize different passengers' activities, which in turn are mined to infer their uniquely associated stations semantics. Furthermore, the locations of the discovered semantics are automatically estimated from the inaccurate passengers' positions when these semantics are identified. We evaluate TransitLabel through a field experiment in eight different train stations in Japan. Our results show that TransitLabel can detect the fine-grained stations semantics accurately with 7.7% false positive rate and 7.5% false negative rate on average. In addition, it can consistently detect the location of discovered semantics accurately, achieving an error within 2.5m on average for all semantics. Finally, we show that TransitLabel has a small energy footprint on cell-phones, could be generalized to other stations, and is robust to different phone placements; highlighting its promise as a ubiquitous indoor maps enriching service.

Remote E-exams during Covid-19 pandemic: A cross-sectional study of students’ preferences and academic dishonesty in faculties of medical sciences

Abstract: Background Since the emergence of coronavirus disease 2019 (Covid-19), distance education has been extensively implemented in all educational institutes and remote electronic exams (E-exams) have been adopted as a primary mode of assessment. Objectives This cross-sectional study aimed to evaluate the experience of students at faculties of Medicine, Dentistry, Pharmacy, Nursing and Applied Medical Sciences at Jordan University of Science and Technology regarding remote E-exams preferences and academic dishonesty during the pandemic. Materials and methods The survey composed of 16 questions, prepared using Google forms and distributed through students' E-learning platforms. The survey explored factors affecting students' preference for remote E-exams, methods for course assessment/evaluation, factors related to students’ exam dishonesty/misconduct during remote E-exams and measures that can be considered to reduce this behavior. Data were analyzed using descriptive, cross tabulation and Chi-square tests. Results Among 730 students, approximately only one third preferred remote E-exams. This was significantly (P Conclusion Results suggested less preference of remote E-exams among students at medical faculties. Findings from this study are highly valuable to plan for academic strategies to overcome difficulties and challenges of remote E-exams. These might include improvement for the distance teaching methodologies, rearrangement of assessment options, modification of the academic curriculum to fit the current situation, and adopting certain measures to prevent exam dishonesty and maintain academic integrity.

Prevalence of polycystic kidney disease in Persian cats in the United Kingdom.

Abstract: The prevalence of polycystic kidney disease was assessed in 132 Persian cats, 46 of them referred for the investigation and treatment of medical or surgical conditions, and 86 apparently healthy cats referred specifically to be screened for the disease. Cats referred for the investigation of renomegaly or renal failure were excluded, and cats under 10 months old were only included if they had been examined postmortem. One hundred and twenty-six of the cats were examined ultrasonographically with a 7.5 MHz sector scanner, and the other six cats were examined postmortem. Forty-nine of the 86 cats referred specifically for screening (57.0 per cent) and 16 of the 46 cats referred for other clinical reasons (34.8 per cent) were affected by the disease, giving an overall prevalence of 49.2 per cent.