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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Pinnarong, Rachit</text>
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                <text>Siangpipop, Sorawit</text>
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                <text>Since health-related information for pregnant women is extremely complex and sensitive, end-users of any application are required to have the same level of knowledge as the information providers to help them to navigate between various sources of information to ascertain the reliability of contents that are often confusing. However, although there are several such applications for Thai pregnant women in the market, few were developed based on research evidence. This study is focused on the design of a health application specifically for Thai pregnant women by extracting the explicit problems of existing applications and providing solutions to them. A design thinking methodology comprised of empathise, define, ideate, prototype and test was used as a guideline to develop a prototype app. IT experts, physical therapists and pregnant women were recruited as participants to address the problem taxonomy and obtain a solution.The new application produced in this study with the aim of encouraging pregnant women especially for Thai women to engage in physical activity was based on research, and the input of physical therapists, IT experts and pregnant women users was able to feasibly inform the development of an acceptable and usable mobile health application for pregnant women.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23033/9539</text>
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                <text>Copyright (c) 2021 Rachit Pinnarong, Sorawit Siangpipop, Atichart Harncharnchai, Acrapol Nimmolrat, Orawit Thinnukool</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 57-79</text>
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              <elementText elementTextId="42946">
                <text>1865-7923</text>
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                <text>Design thinking</text>
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                <text>Thai Pregnant Mobile Application: Review and Development Report</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Khalafat, Monther</text>
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                <text>Alqatawna, Ja'far S.</text>
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                <text>Al-Sayyed, Rizik M. H.</text>
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                <text>Eshtay, Mohammad</text>
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                <text>Kobbaey, Thaeer</text>
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                <text>Today, the influence of the social media on different aspects of our lives is increasing, many scholars from various disciplines and majors looking at the social media networks as the ongoing revolution. In Social media networks, many bonds and connections can be established whether being direct or indirect ties. In fact, Social networks are used not only by people but also by companies. People usually create their own profiles and join communities to discuss different common issues that they have interest in. On the other hand, companies also can create their virtual presence on the social media networks to benefit from this media to understand the customers and gather richer information about them. With all of the benefits and advantages of social media networks, they should not always be seen as a safe place for communicating, sharing information and ideas, and establishing virtual communities. These information and ideas could carry with them hatred speeches that must be detected to avoid raising violence. Therefore, web content mining can be used to handle this issue. Web content mining is gaining more concern because of its importance for many businesses and institutions.  Sentiment Analysis (SA) is an important sub-area of web content mining.  The purpose of SA is to determine the overall sentiment attitude of writer towards a specific entity and classify these opinions automatically. There are two main approaches to build systems of sentiment analysis: the machine learning approach and the lexicon-based approach. This research presents the design and implementation for violence detection over social media using machine learning approach. Our system works on Jordanian Arabic dialect instead of Modern Standard Arabic (MSA). The data was collected from two popular social media websites (Facebook, Twitter) and has used native speakers to annotate the data. Moreover, different preprocessing techniques have been used to show their effect on our model accuracy. The Arabic lexicon was used for generating feature vectors and separate them to features set. Here, we have three well known machine learning algorithms: Support Vector Machine (SVM), Naive Bayes (NB) and k-Nearest Neighbors (KNN). Building on this view, Information Science Research Institute’s (ISRI) stemming and stop word file as a result of preprocessing were used to extract the features. Indeed, several features have been extracted; however, using the SVM classifier reveals that unigram and features extracted from lexicon are characterized by the highest accuracy to detect violence.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23029</text>
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                <text>10.3991/ijim.v15i14.23029</text>
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            <description>A language of the resource</description>
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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/23029/9603</text>
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                <text>Copyright (c) 2021 Monther Khalafat, Rizik M. H. Al-Sayyed, Ja'far S. Alqatawna, Mohammad Eshtay, Thaeer Kobbaey</text>
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              <elementText elementTextId="42920">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 90-110</text>
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              <elementText elementTextId="42921">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Violence Detection</text>
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                <text>Social Networks</text>
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                <text>Sentiment Analysis</text>
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                <text>Arabic Lexicon</text>
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                <text>Feature Extraction</text>
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            <name>Title</name>
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                <text>Violence Detection over Online Social Networks: An Arabic Sentiment Analysis Approach</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Panfilova, Elena</text>
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                <text>Lukyanova, Anna</text>
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                <text>Pronkin, Nikolay</text>
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                <text>Zatsarinnaya, Еlena</text>
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                <text>2021-11-09</text>
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                <text>Due to the expansion of new digital trends in the strategic development of territorial units, it became necessary to structure the socio-economic effects from the introduction of innovative technologies grounded on cloud computing. Realized the identification of cloud technologies impact on the social life in the era of digitalization, an online conference was held between representatives of government, business, science, and education of the Republics of Karelia, Komi, Adygea, Dagestan, Ingushetia, Kalmykia, Karachay-Cherkessia, Krasnodar Krai and Stavropol Krai (Russian Federation). In the context of innovative possibilities of platform economy, in discussion were identified the key effects of the cloud solutions implementation in the Russian Federation regions development prospect strategy. Namely, development of social and human capital, improvement of the quality and standard of living in a region, improvement of social interaction, development of social constructivism, economic potential, and competitiveness of social capital. It has been reported that the positive social effects of cloud technologies at the level of a territorial unit are achieved by increasing digital literacy of the population and opening up new opportunities and platforms for social interaction and constructivism; providing the population with convenient services and open data for participation in active social, economic and political life. Cloud technologies help to form a digital educational environment, modernize educational programs for the preparation of high-quality labor resources, develop digital infrastructure of individual settlements, create user content to preserve socio-cultural identity, and popularize a region in the global information space. Revealed that the possibilities of cloud technologies increase the population quality of living and ensure the growth of the efficiency and productivity indicators of labor resources. The listed above are achieved by expanding the marketing capabilities of business structures, providing them with new business models and digital services; optimization of resource management, digitization of business processes, and platform organization of labor. The capabilities of cloud solutions allow for the formation of flexible and effective interregional and international cooperation in a region, having a positive impact on regional economy and social capital development.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22985</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>Copyright (c) 2021 Elena Panfilova, Anna Lukyanova, Nikolay Pronkin, Еlena Zatsarinnaya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 144-157</text>
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              <elementText elementTextId="42896">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>cloud computing technologies</text>
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                <text>digital trends</text>
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                <text>digitalization</text>
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                <text>socio-economic effects</text>
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                <text>Assessment of the Impact of Cloud Technologies on Social Life in the Era of Digitalization</text>
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                <text>Tikito, Iman</text>
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                <text>Souissi, Nissrine</text>
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                <text>Data collection is one of the first and main phases of the data life cycle. It enables improvements to be made across all phases of the data lifecycle. In this sense, we have proposed a data collection process qualified as Smart. For our smart data collection process, we have adopted the principles of the smart data approach allowing less data to be transmitted to the analysis and storage processes, while maintaining better data quality. In addition, we also used Edge computing since it provides services with faster response and better quality, compared to cloud computing. To experiment this process on mobile data, we propose to extend a mobile data collection software solution and adopt one of the key data collection methods. In this paper, we tested our smart data collection process via the ODK-X software suite and were able to identify the added value of our process compared to the one used by default during collection.</text>
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            <description>A language of the resource</description>
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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/22945/9535</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42870">
                <text>Copyright (c) 2021 Iman Tikito, Nissrine Souissi</text>
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            </elementTextContainer>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="42871">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 28-42</text>
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              <elementText elementTextId="42872">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42873">
                <text>Smart Collect</text>
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              <elementText elementTextId="42874">
                <text>Mobile Data</text>
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              <elementText elementTextId="42875">
                <text>ODK-X</text>
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                <text>Data collection</text>
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                <text>Edge computing</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="42878">
                <text>ODK-X: From A Classic Process To A Smart Data Collection Process</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</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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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42835">
                <text>Dolzhich, Elena</text>
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                <text>Dmitrichenkova, Svetlana</text>
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                <text>Ibrahim, Mona Kamal</text>
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              <elementText elementTextId="42838">
                <text>2021-08-11</text>
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            <description>An account of the resource</description>
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                <text>The higher education system around the world is being rapidly developed towards digitalization – from computers to laptops, from laptops to tablets and smartphones. Accordingly, traditional delivery of instruction is being shifted towards blended learning that is being gradually replaced with distance learning, i.e. higher education is moving forward with mobile learning (m-learning) technologies. The introduction of mobile learning became the most topical event in 2020 in the context of the COVID-19 pandemic, due to which many countries had to completely move to distance learning in higher education. The purpose of the study is to analyze the prospects for the widespread use of mobile applications in teaching English as a foreign language (EFL) in Russia to Russian and Arab learners. In the course of the study, an online survey based on a questionnaire consisting of four open and closed questions was conducted. An empirical method was applied to collect the research data.  The survey was conducted at the Department of Foreign Languages of the Engineering Academy of the Peoples' Friendship University of Russia (EA PFUR). The total research sample included 200 participants and consisted of: 50 potential employers, 50 Russian and Arab students of the Peoples' Friendship University of Russia studying Linguistics (training program code 035700), 50 faculty members, namely teachers of the Peoples' Friendship University of Russia, the Institute of Foreign Languages of the Moscow State Pedagogical University and the Moscow Institute of Physics and Technology, as well as 50 administrative staff of the Peoples' Friendship University of Russia. The purpose of the survey was to collect information about the use of mobile applications (Smartphone Apps) and the introduction of mobile learning technology (m-learning) in the process of teaching EFL to students. According to the results of the survey, instructors are actively using mobile technologies in their professional activities and all participants in the learning process are receptive to their introduction in education. At the same time, respondents believe that technical challenges are the major obstacle to the adoption of mobile applications; these problems must be overcome in order to enable more productive use of mobile applications. In this regard, the study of mobile applications that are suitable for specific aspects of learning a foreign language, such as spoken language, reading comprehension, listening or writing, can be considered a promising research area.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22895</text>
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                <text>10.3991/ijim.v15i15.22895</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            </elementTextContainer>
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="42845">
                <text>https://online-journals.org/index.php/i-jim/article/view/22895/9653</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42846">
                <text>Copyright (c) 2021 Elena Dolzhich, Svetlana Dmitrichenkova, Mona Kamal Ibrahim</text>
              </elementText>
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          </element>
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            <elementTextContainer>
              <elementText elementTextId="42847">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 20-34</text>
              </elementText>
              <elementText elementTextId="42848">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42849">
                <text>Foreign Languages</text>
              </elementText>
              <elementText elementTextId="42850">
                <text>English as a Foreign Language (EFL)</text>
              </elementText>
              <elementText elementTextId="42851">
                <text>Graduate Education</text>
              </elementText>
              <elementText elementTextId="42852">
                <text>Mobile Assisted Language Learning (MALL)</text>
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              <elementText elementTextId="42853">
                <text>MALL technology</text>
              </elementText>
              <elementText elementTextId="42854">
                <text>Mobile Learning (m-learning)</text>
              </elementText>
              <elementText elementTextId="42855">
                <text>Smartphone Application</text>
              </elementText>
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            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="42856">
                <text>Using M-Learning Technology in Teaching Foreign Languages: A Panacea during COVID-19 Pandemic Era</text>
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            </elementTextContainer>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="42857">
                <text>info:eu-repo/semantics/article</text>
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              <elementText elementTextId="42858">
                <text>info:eu-repo/semantics/publishedVersion</text>
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                <text>Peer-reviewed Article</text>
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  <item itemId="2026" public="1" featured="0">
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <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>
              </elementTextContainer>
            </element>
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    <itemType itemTypeId="14">
      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42811">
                <text>Taleb, Aya</text>
              </elementText>
              <elementText elementTextId="42812">
                <text>Al-Sayyed, Rizik M. H.</text>
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              <elementText elementTextId="42813">
                <text>Al-Bdour, Hamed S.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="42814">
                <text>2021-06-18</text>
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            <description>An account of the resource</description>
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                <text>In this research, a new technique to improve the accuracy of the link prediction for most of the networks is proposed; it is based on the prediction ensemble approach using the voting merging technique. The new proposed ensemble called Jaccard, Katz, and Random models Wrapper (JKRW), it scales up the prediction accuracy and provides better predictions for different sizes of populations including small, medium, and large data. The proposed model has been tested and evaluated based on the area under curve (AUC) and accuracy (ACC) measures. These measures applied to the other models used in this study that has been built based on the Jaccard Coefficient, Katz, Adamic/Adar, and Preferential attachment. Results from applying the evaluation matrices verify the improvement of JKRW effectiveness and stability in comparison to the other tested models.  The results from applying the Wilcoxon signed-rank method (one of the non-parametric paired tests) indicate that JKRW has significant differences compared to the other models in the different populations at 0.95 confident interval.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="42817">
                <text>https://online-journals.org/index.php/i-jim/article/view/22831</text>
              </elementText>
              <elementText elementTextId="42818">
                <text>10.3991/ijim.v15i12.22831</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42819">
                <text>eng</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="42820">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            </elementTextContainer>
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            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="42821">
                <text>https://online-journals.org/index.php/i-jim/article/view/22831/9425</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42822">
                <text>Copyright (c) 2021 Aya Taleb, Rizik M. H. Al-Sayyed, Hamed S. Al-Bdour</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
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            <elementTextContainer>
              <elementText elementTextId="42823">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 125-139</text>
              </elementText>
              <elementText elementTextId="42824">
                <text>1865-7923</text>
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          </element>
          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42825">
                <text>Link Prediction</text>
              </elementText>
              <elementText elementTextId="42826">
                <text>Network Analysis</text>
              </elementText>
              <elementText elementTextId="42827">
                <text>Ensemble</text>
              </elementText>
              <elementText elementTextId="42828">
                <text>Machine Learning</text>
              </elementText>
              <elementText elementTextId="42829">
                <text>Graph Analy-sis</text>
              </elementText>
              <elementText elementTextId="42830">
                <text>Voting Techniques</text>
              </elementText>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42831">
                <text>JKRW Link Prediction – A New Ensemble Technique Based on Merging Other Known Techniques in The Social Network Analysis</text>
              </elementText>
            </elementTextContainer>
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            <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>
              </elementTextContainer>
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          </elementContainer>
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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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          <element elementId="39">
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="42789">
                <text>Agyei, Elizabeth Darko</text>
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              <elementText elementTextId="42790">
                <text>Agyei, Douglas Darko</text>
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                <text>2021-10-12</text>
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            <description>An account of the resource</description>
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                <text>This research reports on the design aspect of a bigger project which sought to design and implement information and communication technology (ICT)-based interventions for the purpose of developing pre-service teachers’ ICT competency for teaching physics in an interactive manner using a three-stage (design stage, implementation and evaluation stage, and documentation and reflection stage) design-based research approach. Using literature as a lens, this research examines the interventions that we designed in the first stage of the project with the intent to determine its features that promote interactive teaching and fit the Ghanaian senior high school physics classroom context. Findings show that the intervention with inherent features comprising of: a readily available, sustainable, context- and content-specific ICT teaching and learning environment; an ICT-oriented knowledge base for teachers’ uptake of ICT; an underlining framework for defining interactive and learner-centred teaching approach with ICT; ICT-driven interactive lesson objectives; an inquiry-driven, activity- and ICT-based learning material; and a collaborative classroom arrangement is appropriate and sensitive to the needs of the Ghanaian physics classroom context and, hence, possess the potential for promoting interactive teaching. The features of the interventions, as situated in the specific context of the research and implications of the findings are discussed. </text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22735</text>
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              <elementText elementTextId="42795">
                <text>10.3991/ijim.v15i19.22735</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42796">
                <text>eng</text>
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                <text>A surveillance system is still the most exciting and practical security system to prevent crime effectively. The primary purpose of this system is to recognize the identity of the face caught by the camera. With the advancement of the Internet of things, surveillance systems were implemented on edge devices such as the low-cost Raspberry mobile camera. It raises the challenge of unstructured image/video where the video contains low quality, blur, and variations of human poses. The challenge is increasing because people used to wear a mask during the Covid -19 pandemic.  Therefore, we proposed developing an all-in-one surveillance system with face detection, recognition, and face tracking capabilities. This system integrated three modules: MTCNN face detector, VGGFace2 face recognition, and Discriminative Single-Shot Segmentation (D3S) tracker to create a system capable of tracking the faces of people caught on surveillance camera. We also train new face mask data to recognize and track. This system obtains data from the Raspberry Pi camera and processes images on the cloud as a mobile sensor approach. The proposed system successfully implemented and obtained competitive results in detection, recognition, and tracking under an unconstrained surveillance camera.</text>
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                <text>Copyright (c) 2021 Ervan Adiwijaya Haryadi, Grafika Jati, Ario Yudo Husodo, Wisnu Jatmiko</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 104-119</text>
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                <text>1865-7923</text>
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                <text>surveillance system</text>
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                <text>Aldeen Khairi, Teaba Wala</text>
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                <text>—In the communication networks, guidance has become an important factor, with a significant impact on network performance, where the network orientation area has been and continues to be an ongoing development, intensive research for many years aimed at optimizing the network. This paper performs three modifications for a multipath routing protocol to solve the problem of routing in a DCell network simulation and apply online solutions on the network, the goal is to improve the transition efficiency of data. The modifications used to avoid data transmission failures which are delay problem, link failure problem, and power off (rack problem). The implementation of multipath routing protocol on the DCell network in actual simulation using the NS-3 program, which represents the rule that the DCell network was built and simulated. Finally, the modifications succeeded and return good results decreasing the delay time and solving the data transaction problems.</text>
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                <text>Copyright (c) 2021 Teaba Wala Aldeen Khairi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 208-223</text>
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                <text>1865-7923</text>
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                <text>communication networks</text>
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                <text>Modified Multipath Routing Protocol Applied On Ns3 Dcell Network Simulation System</text>
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                <text>This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user interface was then compared with a Samsung Gear S3 smartwatch user interface. The comparison was done via an experiment and a series of realistic tasks. The aspects being investigated were task times, errors and subjective user satisfaction. The data collected were statistically analysed. The overall results showed that the prototype user interface fostered faster task times, fewer errors and more user satisfaction.</text>
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                <text>Copyright (c) 2021 Karan Singh Chaudhary, Pietro Murano</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 128-144</text>
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                <text>1865-7923</text>
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                <text>The Design and Evaluation of A New Smartwatch User Interface</text>
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