, founded in 1993, is a private university located in Amman, Jordan. It is accredited by the Jordanian Ministry of Higher Education & Scientific Research. As of 2008 there were 8,000 students enrolled in the university of whom 14% are international students from 28 countries. As is the case in all other Jordanian universities, the credit-hour system is used in the university. Wikipedia.
Althunibat A.,Al-Zaytoonah University of Jordan
Computers in Human Behavior | Year: 2015
Abstract M-learning is characterized as a powerful element of learning and education for facilitating the learning experiences. With enhanced and rapid advancements in technologies of ICTs (Information and Communication Technologies) and mobile, numerous innovative services and applications are being developed. Therefore, it becomes significant to investigate the factors influencing the intentions of m-learning to be used among the students of higher education institution. This study examines the "Technology Acceptance Model" (TAM), "Theory of Reasoned Action" (TRA) and "Unified Theory of Acceptance and Use of Technology" (UTAUT). The study is based on a survey being conducted across diverse groups of students, belonging to different communities and universities. The survey questionnaire was utilized for collecting the relevant data from 250 respondents. The results analyzed yields the impact that the proposed model of m-learning is comprehensive to study in the institutions of higher education. © 2015 Elsevier Ltd.
Al-Debei M.M.,University of Jordan |
Al-Lozi E.,Al-Zaytoonah University of Jordan
Computers in Human Behavior | Year: 2014
As mobile devices become more and more pervasive in our everyday life and their capabilities resemble more and more of those of desktop computers with the added advantage of mobility, examining intention for adoption seems relevant to consumers and mobile service providers alike. Existing research shows that despite this evolution on Mobile Data Services (MDS) development and use, the adoption of their full capabilities is yet to be realized. In this study we focus on the value consumers can potentially gain from using these services. We hypothesize that if we can examine the value that can be delivered to consumers through the use of MDS, then we can explain and predict consumers' intentions to use MDS. We also postulate that perceptions of consumers regarding the value that can be captured when using MDS is directly affected by technological, social, and informational influences. However, in this research, perceived value is used as a multidimensional construct that encapsulates utilitarian, hedonic, uniqueness, epistemic, and economic value dimensions. Our results show that utilitarian value is, according to previous studies, an important adoption factor. Additionally, economic value is also important and significant. Nevertheless, it seems that in our context, hedonic, uniqueness, and epistemic value dimensions are not as important for the use of mobile data services as utilitarian and economic value dimensions. The results of this study can be used by mobile service providers to get insights about consumers' needs and preferences in order to offer better and thus more popular services. © 2014 Elsevier Ltd. All rights reserved.
Burshaid K.I.,University of Jordan |
Hamdan M.A.,Al-Zaytoonah University of Jordan
Energy Conversion and Management | Year: 2013
This work presents an experimental technique for the measurement of the soot formation in pure fuel, biofuel and emulsified fuel, that constitute this fuels was studied in heated shock tube and investigated the possibility of reducing soot production in locally refined diesel, locally produced biofuel and emulsified fuel. This reduction was conducted using certain oxygenated additives (methane, ethane and acetone). It was found that soot concentration is maximum when pure diesel was burned, followed by emulsified fuels and the lease concentration was obtained when biofuel was burned. Further, methanol has the most significant effect on the reduction of soot once added to each fuel, while acetone has the lease effect on soot reduction. The results gave good indication of the effect for oxygenated additives in reduction the soot formation. © 2012 Elsevier Ltd. All rights reserved.
Iskandarani M.Z.,Al-Zaytoonah University of Jordan
Journal of Computer Science | Year: 2011
A reliable algorithm for head movements inside a vehicle is designed. The proposed algorithm allowed the adjustment of basic functions such as indicators, mirrors and reverse lights based on the driver final head position. The algorithm system mapped a predefined coordinates for driver's head that resulted in a computable geometry via a sensory system which is fed to the vehicle actuating system. Problem statement: Head position recognition is one of the most common problems encountered in engineering and scientific disciplines, which involves developing prediction or classification models from historic data or training samples. In the past few years face detection and person identification became important issues due to security concerns, leading to head gesture algorithm development and implementation. Approach: This study introduces a new approach that combines Fixed Center Interpolation Net Algorithm (FCIN) with Wight Elimination Algorithm (WEA). This enhances the ability to classify and predict head positions and poses and gives better representation capabilities for the overall system algorithm. Such algorithm is able to handle pattern recognition problems using Radial Basis Function (RBF) models. The system algorithm has been developed based on the mathematical properties of the interpolation and design matrices of RBF models. Results: A reliable, fast and robust approach for driver head position recognition is achieved and presented. Conclusion: A simple hybrid algorithm for driver's head movements is designed and tested. The obtained results proved the algorithm applicability and ability to predict and act upon head gestures. © 2011 Science Publications.
Sunoqrot S.,Al-Zaytoonah University of Jordan |
Bugno J.,University of Illinois at Chicago |
Lantvit D.,University of Illinois at Chicago |
Burdette J.E.,University of Illinois at Chicago |
Hong S.,University of Illinois at Chicago
Journal of Controlled Release | Year: 2014
Nanoparticle (NP)-based drug delivery platforms have received a great deal of attention over the past two decades for their potential in targeted cancer therapies. Despite the promises, passive targeting approaches utilizing relatively larger NPs (typically 50-200 nmin diameter) allow for passive tumor accumulation, but hinder efficient intratumoral penetration. Conversely, smaller, actively targeted NPs (<20nmin diameter) penetrate well into the tumor mass, but are limited by their rapid systemic elimination. To overcome these limitations, we have designed amulti-scale hybrid NP platformthat loads smaller poly(amidoamine) (PAMAM) dendrimers (∼5 nm in diameter) into larger poly(ethylene glycol)-b-poly(D,L-lactide) (PEG-PLA) NPs (∼70 nm). A biodistribution study in healthy mice revealed that the hybrid NPs circulated longer than free dendrimers and were mostly cleared by macrophages in the liver and spleen, similar to the in vivo behavior of PEG-PLA NPs. When injected intravenously into the BALB/c athymic nude mice bearing folate receptor (FR)-overexpressing KB xenograft, the targeted hybrid NPs encapsulating folate (FA)-targeted dendrimers achieved longer plasma circulation than free dendrimers and higher tumor concentrations than both free dendrimers and the empty PEG-PLA NPs. These results suggest that the hybrid NPs successfully combine the in vivo advantages of dendrimers and polymeric NPs, demonstrating their potential as a new, modular platform for drug delivery. © 2014 Elsevier B.V. All rights reserved.