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.

Oral manifestations of Ellis-van Creveld syndrome: report of two siblings with unusual dental anomalies.

Abstract: Ellis-van Creveld syndrome (EvC), also called chondroectodermal dysplasia, is a rare occurrence inherited as an autosomal recessive disease. Despite the fact that oral manifestations play an important role in the diagnosis criteria for EvC, few detailed reports have been published in the dental literature. This articles presents two siblings with EvC, a boy aged 9 years and a girl aged 7 1/2 years, a product of unaffected first cousin parents. The patients manifests: chondrodysplasia of tubular bones resulting in disproportionate dwarfism, polydactyly and syndactyly of hands and feet, severe dystrophic nails, multiple broad labial frenula with abnormal attachments, congenital missing incisors, anomalous teeth, bilateral partial clefts of the alveolar bone, and malocclusion. Other features noted in either cases are: congenital heart defect, median notch of the upper lip, shovel-shaped incisors and taurodontism. Of the unusual dental findings observed in our patients are talon cusp, reduced crown size, supernumerary tooth, and early eruption of teeth. Because half of the cases with EvC have cardiac malformation, dental treatment must be performed under prophylactic antibiotic coverage. Dentists play an important role in early diagnosis and control of dental problem of this condition.

GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of things

Abstract: The objective of any anomaly detection system is to efficiently detect several types of malicious traffic patterns that cannot be detected by conventional firewall systems. Designing an efficient intrusion detection system has three primary challenges that include addressing high dimensionality problem, choice of learning algorithm, and distance or similarity measure used to find the similarity value between any two traffic patterns or input observations. Feature representation and dimensionality reduction have been studied and addressed widely in the literature and have also been applied for the design of intrusion detection systems (IDS). The choice of classifiers is also studied and applied widely in the design of IDS. However, at the heart of IDS lies the choice of distance measure that is required for an IDS to judge an incoming observation as normal or abnormal. This challenge has been understudied and relatively less addressed in the research literature both from academia and from industry. This research aims at introducing a novel distance measure that can be used to perform feature clustering and feature representation for efficient intrusion detection. Recent studies such as CANN proposed feature reduction techniques for improving detection and accuracy rates of IDS that used Euclidean distance. However, accuracies of attack classes such as U2R and R2L are not significantly promising. Our approach GARUDA is based on clustering feature patterns incrementally and then representing features in different transformation space through using a novel fuzzy Gaussian dissimilarity measure. Experiments are conducted on both KDD and NSL-KDD datasets. The accuracy and detection rates of proposed approach are compared for classifiers such as kNN, J48, naive Bayes, along with CANN and CLAPP approaches. Experiment results proved that proposed approach resulted in the improved accuracy and detection rates for U2R and R2L attack classes when compared to other approaches.

What effect does a structured home-based exercise programme have on people with Huntington’s disease? A randomized, controlled pilot study

Abstract: Objective: The aim of this study was to explore feasibility, safety and outcome of an exercise intervention in people with Huntington’s disease. Design: A randomized controlled pilot trial. Setting: A home-based exercise programme. Subjects: A total of 25 subjects with early to mid-stage Huntington’s disease. Intervention: Subjects were randomly allocated to either an exercise intervention (n = 13) or a control group (n = 12). Subjects in the exercise intervention group were asked to perform exercises at home three times a week for eight weeks using an exercise DVD, specifically developed for this purpose. The control group received their usual care. Measures: Adherence in the intervention group was calculated from exercise diaries. Measures of gait, balance, function, level of physical activity and quality of life were evaluated. Analysis of covariance was used to compare follow-up scores across groups after adjustment for chance baseline differences. Effect sizes were calculated. Results: Eleven participants from the intervention and ten from the control group completed the study. Mean adherence was 29.4 SD 1.8 for the 32 prescribed sessions. There were no related adverse events. Differences between groups were observed in gait speed, balance, function and level of physical activity, but not quality of life as measured by the SF36. Effect sizes were large (>0.8) for the majority of the outcomes. Conclusions: Short-term structured home exercise programmes are feasible, beneficial and safe for people with early to mid-stage of Huntington’s disease. Our findings support the implementation of a larger trial of longer-term home exercise.

A wireless home safety gas leakage detection system

Abstract: A wireless safety device for gas leakage detection is proposed. The device is intended for use in household safety where appliances and heaters that use natural gas and liquid petroleum gas (LPG) may be a source of risk. The system also can be used for other applications in the industry or plants that depend on LPG and natural gas in their operations. The system design consists of two main modules: the detection and transmission module, and the receiving module. The detection and transmitting module detects the change of gas concentration using a special sensing circuit built for this purpose. This module checks if a change in concentration of gas(es) has exceeded a certain pre-determined threshold. If the sensor detects a change in gas concentration, it activates and audiovisual alarm and sends a signal to the receiver module. The receiver module acts as a mobile alarm device to allow the mobility within the house premises. The system was tested using LPG and the alarm was activated as a result of change in concentration.

Smart homes automation using Z-wave protocol

Abstract: The rapid development of information technology and computer networks make them part of almost everything in our daily life and it became impossible to abandon their use. One of the main and important applications of technology in homes is home automation including controlling and automation of electronic and electrical machines remotely. Wireless Home Automation Networks (WHANs) are used in homes to connect the different devices together and to the Internet. In order to control home devices remotely, there are many popular protocols such as INSTEON, ZigBee, and Home Plug. In this paper, we focus on the relatively new protocol called Z-Wave protocol and we discuss it development and applications in smart homes. This wireless protocol has many advantages over the popular and widely used ZigBee protocol as it provides better reliability, low radio rebirth, easy usage, and easy Interoperability.