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                <text>Alshira'H, Mohammad H</text>
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                <text>The research aimed to discover the effects of website usability and accessibility on the satisfaction of the end-user. To achieve the aims of the research, the questionnaire was used. The outcomes of the research found that all the participants had a positive agreeing that website usability for e-government services. Also, the participants were agreeing that website accessibility for e-government services designs in Jordan have good agreement, responses were positive towards that. Besides, there is a positive effect of website usability on the satisfaction of the end-user on e-government website designs in Jordan. In addition, the result showed that there is a positive impact of website accessibility on the satisfaction of the end-user on e-government website designs in Jordan. The research recommended that the user interfaces and website accessibility in the Jordanian e-government website designs must further be developed to attract more users and maintaining user satisfaction. And, Jordan e-government systems must be maintaining a high degree of integration and flexibility to attract more users.</text>
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                <text>Copyright (c) 2020 Mohammad h AlshiraH</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 13 (2020); pp. 78-90</text>
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                <text>Indiana International &amp; Comparative Law Review; Vol. 22 No. 2 (2012); 237-266</text>
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                <text>On the Failure of a Legal Transplant: The Case of Egyptian Takeover Law</text>
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                <text>This paper presents methodology for user identification on smartphone and mini-tablet using finger based gestures. In this paper, a set of four features, namely Signature Precision (SP), Finger Pressure (FP), Movement Time (MT), and Speed were extracted from each gesture of eight using dynamic time warping and Euclidean distance. The features are then used individually and combined for the purpose of user identification based on the Euclidean distance and the k-nearest neighbour classifier. We concluded that the best identification accuracy results from the combinations of FP and MT features where 78.46% and 78.33% were achieved on small smartphone and Mini-tablet respectively using a dataset of 50 users.</text>
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                <text>Copyright (c) 2017 Suleyman AlShowarah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 1 (2017); pp. 133-142</text>
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                <text>1865-7923</text>
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                <text>The Effectiveness of Dynamic Features ofGesture</text>
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                <text>The Effectiveness of Dynamic Features of Finger Based Gestures on Smartphones’ Touchscreens for User Identification</text>
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                <text>Alsobhi, Aisha Y</text>
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                <text>Learning is a fundamental element of people’s everyday lives. Learning experiences can take the form of our interactions with others, through attending an educational establishment, etc. Not everyone learns in the same way, and even people who are considered to have a similar standard of abilities or proficiency will exhibit different learning styles. This does not necessarily mean that some students are better than others; it means that students are different from one another. Adaptive e-learning system should be capable of adapting the content to the user learning style, abilities and knowledge level. In this paper, we investigate the benefits of incorporating learning styles and dyslexia type in adaptive e-learning systems. Adaptivity aspects based on dyslexia type and learning styles enrich each other, enabling systems to provide learners with materials which fit their needs more accurately. Besides, consideration of learning styles and dyslexia type can contribute to more accurate student modelling. In this paper, the relationship between learning styles, the Felder–Silverman learning style model (FSLSM), and dyslexia type, is investigated. These relationships will lead to a more reliable student model.</text>
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                <text>Copyright (c) 2020 Khaled H. Alyoubi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 15 (2020); pp. 25-43</text>
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                <text>1865-7923</text>
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                <text>Learning Styles and Dyslexia Types – Understanding Their Relationship and its Benefits in Adaptive E-learning Systems</text>
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                <text>Advanced technology-based educational practices have emerged as a constructive growth trend in the sustainable educational market. As a result, using informational communication practices in a developed market has resulted in better communicative approaches during the global pandemic situation. Creating engaging content in the educational process empirically ensured the student engagement level. This research aims to identify the impact of information systems on quality emergence aspects in e-Learning system performance. Furthermore, understanding the scope of the education process using e-Learning systems, identifying the impact of information systems on quality design in the e-Learning platform, and evaluating the advantages and disadvantages of the e-Learning platform. The Technology Acceptance Model (TAM) has been used for quality assurance and sustainable growth development in educational practices. Advanced information system design with proper monitoring approaches has improved the situation. A model is proposed to illustrate the relationship between information systems design and e-learning performance. The higher the level of quality in information system design, the higher the level of performance of the e-learning system, and thus the higher the degree of learning quality output.</text>
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                <text>Copyright (c) 2023 haroon altarawneh, Mohammad Mahmoud Tarawneh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 03 (2023); pp. 4-20</text>
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                <text>1865-7923</text>
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                <text>Learning Management System</text>
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                <text>The Impact of Information System Design Quality on E-Learning Systems Performance</text>
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                <text>In the last year, the Department of Naval Architecture and Marine Engineering of Genoa University (now Department of Naval Architecture, Marine Technology and Electrical Engineering) collaborated to the design of the propulsion automation of two different naval vessels; within these projects the authors developed different ship propulsion simulators used to design and test the propulsion control schemes. In these time-domain simulators, each propulsion component is represented by a specific mathematical model, mainly based on algebraic and differential equations. One of the key aspects of the propulsion simulation is the engine dynamics. This problem in principle can be dealt with models based on thermodynamic principles, which are able to represent in detail the behaviour of many variables of interest (engine power and speed, air and gas pressures, temperatures, stresses, etc.). However, thermodynamic models are often characterized by a long computation-time and moreover their development usually requires the knowledge of specific engine information not always available. It is generally preferable to adopt simpler simulation models, for the development of which, very few kinds of information are necessary. In fact, for the rapid prototyping of control schemes, it is generally more important to model the whole plant (in a relatively coarse way) rather than the detailed model of some components. This paper deals with simple mathematical methods, able to represent the engine power or torque only, but they can be suitably applied to many types of marine engines in a straightforward way. The proposed simulation approaches derived from the authors&amp;rsquo; experience, gained during their activity in the marine simulation field, and they are particularly suitable for a fast prototyping of the marine propulsion control systems. The validation process of these particular models, regarding a Diesel engine, a marine gas turbine and an electric motor, is illustrated based on the sea trials data and engine manufacturers&amp;rsquo; data. Keywords: Dynamic simulation; marine engines performance; gas turbine; propulsion control. doi: http://dx.doi.org/10.3329/jname.v8i2.7366 &amp;nbsp; Journal of Naval Architecture and Marine Engineering 8(2011) 129-147</text>
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                <text>Journal of Naval Architecture and Marine Engineering; Vol. 8 No. 2 (2011); 129-147</text>
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                <text>Effective simple methods for numerical modelling of marine engines in ship propulsion control systems design</text>
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                <text>Gamboa-Cruzado, Javier</text>
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                <text>The large branches of Machine Learning represent an immense support for the detection of malicious websites, they can predict whether a URL is malicious or benign, leaving aside the cyber attacks that can generate for network users who are unaware of them. The objective of the research was to know the state of the art about Neural Networks and their impact for the Detection of malicious Websites in network users. For this purpose, a systematic literature review (SLR) was conducted from 2017 to 2021. The search identified 561 963 papers from different sources such as Taylor &amp;amp; Francis Online, IEEE Xplore, ARDI, ScienceDirect, Wiley Online Library, ACM Digital Library and Microsoft Academic. Of the papers only 82 were considered based on exclusion criteria formulated by the author. As a result of the SLR, studies focused on machine learning (ML), where it recommends the use of algorithms to have a better and efficient prediction of malicious websites. For the researchers, this review presents a mapping of the findings on the most used machine learning techniques for malicious website detection, which are essential for a study because they increase the accuracy of an algorithm. It also shows the main machine learning methodologies that are used in the research papers.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 01 (2023); pp. 108-128</text>
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                <text>1865-7923</text>
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                  <text>Artha Journal of Social Sciences</text>
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                <text>Copyright (c) 2019 Mercedes Rojas-Osorio, Aldo Alvarez-Risco</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 03 (2019); pp. 40-52</text>
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                <text>This article tries to enrich the conceptual debate and discussions among international relations and strategic studies scholars regarding explanations of weak actor‟s victories against strong actors in military conflicts. For longtime strategic studies scholars have tried to find the most relevant and valid explanations on the reasoning on how a weak actor can achieve victory in asymmetric conflict despite overwhelming inferiority in terms of power. Previous strategic studies scholars have proposed competing hypothesis ranging from regime type, balance of interests to the types of strategic interaction between the two actors. In this essay, the author would like to underline the significance of fog of war or uncertainty as a significant contributing factor during strategic interactions at tactical-operational towards shaping either a favorable or vice-versa unfavorable war conditions for the weak actor to modify pre-war political objectives of the asymmetric conflict. In this analysis, the 2006 Lebanon War is taken as a case study of the asymmetric conflict between the strong and weak actor. The result strengthened the notion that there is no single variable but a multitude of variable which explains asymmetric conflict outcomes.</text>
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                <text>AEGIS : Journal of International Relations; Vol 1, No 1 (2016): September 2016 - February 2017</text>
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