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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Papadakis, Stamatios</text>
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                <text>Educational robotics can consider one of the newest trends in education and they have been introduced into the classrooms ranging from kindergarten through high school as a means of enriching the learning environment and promote knowledge-building activities. Especially, robotics technologies offer opportunities for young age children, for a practical, hands-on understanding of the things they meet in their daily life but do not fully understand, such as proximity sensors, motion detectors, and light sensors, reasoning failures (software bugs) and connection problems (Wi-Fi, Bluetooth disconnection). In this article, we presented robots that can be used in early childhood and first primary classes of education. The purpose of this article is not to advocate against an educational robot or robotic kit but indeed to inform the educational community so that to make informed decisions regarding the introduction of this kind of technology into the classroom.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16631</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16631/8125</text>
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                <text>Copyright (c) 2020 Stamatios Papadakis</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 34-56</text>
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                <text>1865-7923</text>
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                <text>Educational Robotics</text>
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                <text>Robotics kits</text>
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                <text>Computational Thinking</text>
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                <text>Preschool Education</text>
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                <text>Primary Education</text>
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                <text>Robots and Robotics Kits for Early Childhood and First School Age</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Hussain, Azham</text>
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                <text>Mkpojiogu, Emmanuel O.C.</text>
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                <text>Babalola, Elizabeth Tolulope</text>
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                <text>The paper examined the use of mobile educational applications to foster work and play in learning. Three research questions were asked to guide the study. Fifty (50) articles pertaining to the use of mobile educational applications in classrooms were downloaded. Out of all these papers, thirty-five (35) relevant articles were selected for review after which twenty-five (25) were carefully read and searched so as to capture the required information for the analysis. The outcome of the review indicated that there are lots of mobile educational apps that can be used by educators to foster work and play in classroom teaching and learning thereby making the teaching and learning become mobile and attractive. This means that teachers make use of apps, internet and computers to teach in classroom, which makes teaching and learning more interactive, collaborative and replaces the conventional chalkboards. The study applied systematic literature methodology in order to achieve the goal of the research. The research outcome showed that some educators have not yet embraced the use of mobile educational apps for teaching and learning in classrooms especially in third world countries. It was recommended that teachers, curriculum planners, policy makers, administrators and caregivers should be provided with knowledge on the new trend of mobile learning and its importance to the education sector.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16619</text>
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                <text>10.3991/ijim.v14i18.16619</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16619/8141</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="37883">
                <text>Copyright (c) 2020 Aazham Hussain, Emmanuel O.C. Mkpojiogu, Elizabeth Tolulope Babalola</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 178-194</text>
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                <text>1865-7923</text>
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                <text>Classroom</text>
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                <text>mobile educational applications</text>
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                <text>teaching and learning</text>
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                <text>Using Mobile Educational Apps to Foster Work and Play in Learning: A Systematic Review</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Kannan, Lucky</text>
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                <text>R, Jebakumar</text>
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                <text>2020-10-13</text>
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                <text>Many businesses use email as a medium for advertising and they use emails to communicate with their customers. In the email world, the most common issue that remains unresolved even now is spamming or in other terms unsolicited bulk email. Currently, there is no common way to regulate the practices of an email sender. This proposed system is to formulate a protocol common for all the ESPs or inbox providers and a centralized system that will easily find the spammers and block them. By this method, the Email Service Providers (ESPs) or Inbox Providers need not wait for the sender behaviour and then take actions on the sender or sender domain or sender IP address. Instead, they can get the sender history of reputation from blockchain where the ESPs or Inbox Provider provides a score based on the emails they have received from the sender. The ESPs can get the Public Sender Score(S3) from the mobile application or web application which provides the score management user interface and APIs. The email marketers can also monitor their score through the application.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16609</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16609/8019</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37858">
                <text>Copyright (c) 2020 Lucky Kannan, Jebakumar R</text>
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              <elementText elementTextId="37859">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 204-213</text>
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              <elementText elementTextId="37860">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Email</text>
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                <text>Spam Detection</text>
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                <text>Sender Score</text>
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                <text>Reputation System</text>
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                <text>Blockchain</text>
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                <text>Mobile Application</text>
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                <text>Marketing Email</text>
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                <text>Public Sender Score System (S3) by ESPs for Email Spam Mitigation with Score Management in Mobile Application</text>
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                <text>P, Rajesh</text>
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                <text>A, Murugan</text>
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                <text>B, Murugamantham</text>
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                <text>S, Ganesh Kumar</text>
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                <text>Cancer has become very common in this evolving world. Technology advancements, increased radiations have made cancer a common syndrome. Various types of cancers like Skin Cancer, Breast Cancer, Prostate Cancer, Blood Cancer, Colorectal cancer, Kidney Cancer and Lung Cancer exits. Among these various types of cancers, the mortality rate is high in lung cancer which is tough to diagnose and can be diagnosed only in advanced stages. Small cell lung cancer and non-small cell lung cancer are the two types in which non-small cell lung cancer (NSCLC) is the most common type which makes up to 80 to 85 percent of all cases [1]. Digital Image Processing and Artificial Intelligence advancements has helped a lot in medical image analysis and Computer Aided Diagnosis(CAD). Numerous research is carried out in this field to improve the detection and prediction of the cancerous tissues. In current methods, traditional image processing techniques is applied for image processing, noise removal and feature extraction. There are few good approaches that applies Artificial Intelligence and produce better results. However, no research has achieved 100% accuracy in nodule detection, early detection of cancerous nodules nor faster processing methods. Application of Artificial Intelligence techniques like Machine Learning, Deep Learning is very minimal and limited. In this paper [Figure 1], we have applied Artificial intelligence techniques to process CT (Computed Tomography) Scan image for data collection and data model training. The DICOM image data is saved as numpy file with all medical information extracted from the files for training. With the trained data we apply deep learning for noise removal and feature extraction. We can process huge volume of medical images for data collection, image processing, detection and prediction of nodules. The patient is made well aware of the disease and enabled with their health tracking using various mobile applications made available in the online stores for iOS and Android mobile devices.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16607</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              </elementText>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37836">
                <text>Copyright (c) 2020 Rajesh P, Murugan A, Murugamantham B, Ganesh Kumar S</text>
              </elementText>
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              <elementText elementTextId="37837">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 189-203</text>
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              <elementText elementTextId="37838">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Lung Cancer</text>
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                <text>CAD</text>
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                <text>Artificial intelligence</text>
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                <text>CNN and CT scan.</text>
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            <name>Title</name>
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                <text>Lung Cancer Diagnosis and Treatment Using AI and Mobile Applications</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="37802">
                <text>Zamil, Ahmad</text>
              </elementText>
              <elementText elementTextId="37803">
                <text>Abu-AlSondos, Ibrahim A.</text>
              </elementText>
              <elementText elementTextId="37804">
                <text>Salameh, Anas A.</text>
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                <text>Progress in wireless technology has raised the number of people using mobile devices and stimulated the accelerated evolution of online shopping carried with these devices.  However, today many corporations are making significant investments to take benefit of the new business opportunities given by internet technology, research on m-online shopping proposes potential customers may or may notadopt mobile shopping despite of their availability and benefits. Thus, this study identifies the key factors that influence customer intention to make online mobile shopping.  This research investigates the dimensions of mobile shopping service based on online shoppers’ expectations and perceptions. This research developed a conceptual framework for examining the role of the perceived usefulness, perceived ease of use and trust in order to determining customers’ intention to use mobile shopping. Data were obtained from 212 students of business administration college, who conducted a mobile online shopping process, the sample was tested on the analysis model using (SEM-PLS). The results strongly support the proposed model in predicting consumer intention to use mobile shopping. the major findings of this study found positive relationship among perceived usefulness, perceived ease of use and trust association with intention to use m-online shopping. The current study model and its findings could present a rigorous basis for understanding customers’ attitude for mobile shopping contexts.</text>
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              <elementText elementTextId="37808">
                <text>https://online-journals.org/index.php/i-jim/article/view/16599</text>
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              <elementText elementTextId="37809">
                <text>10.3991/ijim.v14i17.16599</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="37810">
                <text>eng</text>
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            <name>Publisher</name>
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              <elementText elementTextId="37811">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16599/8005</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37813">
                <text>Copyright (c) 2020 Ahmad Zamil, Ibrahim A. Abu-AlSondos, Anas A. Salameh</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="37814">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 56-65</text>
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              <elementText elementTextId="37815">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="37816">
                <text>Mobile online shopping</text>
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                <text>Consumers believe</text>
              </elementText>
              <elementText elementTextId="37818">
                <text>Consumer attitude</text>
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              <elementText elementTextId="37819">
                <text>M-services.</text>
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            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37820">
                <text>Encouraging Consumers to Make Online Purchases Using Mobile Applications, How to Keep them in Touch with E-Services Providers?</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
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          <element elementId="39">
            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="37778">
                <text>Salameh, Anas A.</text>
              </elementText>
              <elementText elementTextId="37779">
                <text>Abu AlSondos, Ibrahim A.</text>
              </elementText>
              <elementText elementTextId="37780">
                <text>Ali, Basel J. A.</text>
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              <elementText elementTextId="37781">
                <text>Alsahali, Abdullah Fahad</text>
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            <name>Date</name>
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              <elementText elementTextId="37782">
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            <description>An account of the resource</description>
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                <text>Recently, mobile commerce started to attract the interest of workers in the commercial sector for ease of application, where people can buy and sell items at the same time by using the internet on a mobile phone. Therefore, this research aims to investigate the extent of citizens' confidence and trust in m-commerce. The study reveals how m-commerce process over time changes the role of trading from the traditional way to the electronic one. The objective of this study is to determine the impact of trust, ease of use on satisfaction in m-commerce among citizens. Data of this research was collected from teaching staff, employees, and students and they numbered 216, the result indicates that there is a positive relationship between research model variables and that all antecedents affected citizens toward the satisfaction of m-commerce.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="37784">
                <text>application/pdf</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16589</text>
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              <elementText elementTextId="37786">
                <text>10.3991/ijim.v14i17.16589</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="37787">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="37788">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <name>Relation</name>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16589/8003</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37790">
                <text>Copyright (c) 2020 Anas A. Salameh, Ibrahim A. Abu AlSondos, Basel J. A. Ali, Abdullah Fahad Alsahali</text>
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          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="37791">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 45-55</text>
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              <elementText elementTextId="37792">
                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="37793">
                <text>Citizens’ satisfaction</text>
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              <elementText elementTextId="37794">
                <text>M-commerce</text>
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                <text>Intention to use</text>
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                <text>Trust</text>
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                <text>Ease of use.</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="37798">
                <text>From Citizens Overview: Which Antecedents’ Can Assist to Increase their Satisfaction Towards the Ubiquity of Mobile Commerce Applications?</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="37754">
                <text>Cubukcu, Ceren</text>
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              <elementText elementTextId="37755">
                <text>Canbazoglu, Murat Kaan</text>
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              <elementText elementTextId="37756">
                <text>Ozerdem, Yigit</text>
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              <elementText elementTextId="37757">
                <text>2020-12-11</text>
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                <text>Children with diagnosis of down syndrome has different kinds of personalities, mental states, and talents similar to other children. The key point is that every child needs proper support at the right time. There are options like special education programs, physical and other therapies, and play groups. However, there are not any electronic games to support the education and improvement of these children. The goal of this study is to develop a mobile game for children with down syndrome, in order to help them learn everyday knowledge by using a mobile device such as a smart phone or a tablet. In most cases pedagogues use puzzle or paper based card games to teach these children the necessary knowledge they need to maintain their lives. This study aims to optimize the learning process of children with down syndrome by providing educators electronic games they can use to teach them in a mobile application which will enrich the teaching process in addition to update their teaching methods to Industry 4.0 standards.</text>
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                <text>10.3991/ijim.v14i20.16573</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="37762">
                <text>eng</text>
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            <name>Publisher</name>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16573/8375</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37765">
                <text>Copyright (c) 2020 ceren cubukcu, Murat Kaan Canbazoglu, Yigit Ozerdem</text>
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              <elementText elementTextId="37766">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 174-183</text>
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              <elementText elementTextId="37767">
                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="37768">
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                <text>Nowadays, Artificial Intelligence is being integrated into the modern innovations, including mobile, Electronic gadgets and as well as our daily lives. The smartphones are becoming a crucial and indistinguishable part of modern life. Whether that be in terms of speech, prototype, efficiency, features, quality and so forth, together all system requirements are provided in one machine. Researchers and innovations analysts are making advances in mobile computing with the excellent technologies. While Artificial Intelligence as a commercial product has been directly accessible. In this, both corporations and violent offenders take benefit of emerging technologies and advances. Cyber-security specialists and authorities have predicted there have been high possibilities of cyber-attacks. There's really, besides that, a need to improve quite advanced and powerful data security processes and software to protect all fraudulent activities and threats. The objective of this study is to introduce latest developments of implementing Methodologies to mobile computing, to prove how such techniques could become an efficient resource for data security and protocols, and to provide scope for future research.</text>
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                <text>Copyright (c) 2020 S.V Manikanthan, T Padmapriya, Azham Hussain, E Thamizharasi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 4-19</text>
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                <text>1865-7923</text>
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                <text>Artificial Intelligence</text>
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                <text>Smartphones</text>
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                <text>Mobile Computing</text>
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                <text>Artificial Intelligence Techniques for Enhancing Smartphone Application Development on Mobile Computing</text>
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                <text>Benita K, Ruby</text>
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                <text>Tracking drugs became more difficult using the centralized architecture. Decentralized architecture using blockchain technology overcomes the difficulties faced by the centralized network like availability and recovery. Avoiding duplicate or fake drugs created by fake manufacturers is a big challenge in the centralized network. Authentic stock is managed and the supply chain is tracked efficiently using this blockchain technology. This is addressed by using the smart contract which helps to track the movement of drugs from manufacturer to supplier, supplier to the reseller, reseller to pharmacies and finally pharmacies to patient. By default, duplicate drugs or fake drugs are completely avoided by using the blockchain technology. Patients buy drugs without any prescription and it creates a lot of problems in real life. So, Patients cannot buy drugs without authenticated doctor’s prescriptions with the help of a QR Code scanner attached with the prescription which will be implemented using a mobile application and cannot buy excess drugs which might lose someone’s life. With the help of inventory management, the maximum limit of drugs to avoid overdose and pharmacies cannot sell those overdose drugs. Consulting a doctor before buying a drug for even a simple illness is important and it is tracked by using prescriptions provided by authentic doctors. In this project, these challenges are addressed using the smart contract which is written in solidity language and runs on a public ethereum network.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16561</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="37718">
                <text>Copyright (c) 2020 Ruby Benita K, Ganesh Kumar S, Murugamantham B, Murugan A</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 20-32</text>
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                <text>1865-7923</text>
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                <text>Blockchain</text>
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                <text>transactions</text>
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                <text>decentralized architecture</text>
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                <text>fake drugs</text>
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                <text>smart contract</text>
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                <text>ethereum.</text>
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                <text>Authentic Drug Usage and Tracking with Blockchain Using Mobile Apps</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="37682">
                <text>Omar, Mohd Faizal</text>
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                <text>Mohd Nawi, Mohd Nasrun</text>
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                <text>Jamil, Jastini Mohd</text>
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                <text>Mohamad, Ani Munirah</text>
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                <text>Kamaruddin, Saslina</text>
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                <text>Flooding has become one of the most rapidly growing types of natural disaster that has spread around the globe. It is is one of the major natural hazards in many countries and mostly affected in the low-lying or flood prone areas. In order to minimize loss of life and economic losses, a detailed and comprehensive decision making tool is necessary for both flood control planning and emergency service operations. In this paper, we demonstrate our research design for mobile based decision support of Flood Early Warning System (FEWS). We outlined four research objectives. Firstly, critical criteria for flood risk assessment will be identified and the second step will involve develop measurement model for relative flood risk using Geographic Information System (GIS), Multi Attribute Decision Making (MADM) and data mining technique. In the third objectives, the holistic architectural design is develop by incorporating the communication technology and other related ICT requirements for the mobile decision support. The fourth objective is to validate the mathematical model and architectural design. Case study approach is chosen in order to understand the flood event and validate the decision support model. Following well-defined procedures, flood maps were drawn based on the data collected from expert responses to a questionnaire, the field survey, satellite images, and documents from flood management agencies. It is anticipates that by integrating of mathematical model, GIS and mobile application in flood risk assessment could provide useful detailed information for flood risk management, evacuation, communication. The decision support design from this study is perhaps to improve the warning system and contribute to reduction of casualties.</text>
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                <text>Copyright (c) 2020 Mohd Faizal Omar, Mohd Nasrun Mohd Nawi, Jastini Mohd Jamil, Ani Munirah Mohamad, Norfazlirda Hairani, Rosmini Ismail</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 130-140</text>
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              <elementText elementTextId="37697">
                <text>1865-7923</text>
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                <text>Flood Management</text>
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                <text>Research Design of Mobile Based Decision Support for Early Flood Warning System</text>
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