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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Esraa Jaffar Baker</text>
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                <text>Juliana Aida Abu Bakar</text>
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                <text>Abdul Nasir Zulkifli</text>
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                <text>Mobile Augmented Reality has come a long way since its inception as a multimedia system during the last few decades. From the concept of an Augmented Reality experience to actual smartphone applications, it has come a long way. Researchers have chosen to leverage the concept of engagement in the construction of Mobile Augmented Reality applications in order to boost museum visitors' engagement and provide a more effective learning environment. The majority of Mobile Augmented Reality applications, on the other hand, were designed with normal hearing visitors in mind, while hearing-impaired visitors are given less attention. Those with hearing difficulties have an unfavourable experience as a result of this, and are unsatisfied with their visit. The elements of Mobile Augmented Reality aimed at engaging hearing-impaired museum visitors are determined in this study. The next step was to construct a conceptual model, which was then validated through an expert review. &amp;nbsp;In investigating any flaws of the instrument among hearing-impaired museum visitors, a pilot study was conducted to improve the items and determine their level of reliability. Participants in the study were hearing-impaired who visited one of Iraq's ancient museums. This study will focus on evaluating the prototype to see how effective it is at engaging hearing-impaired museum visitors in the near future.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30513</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/30513/11539</text>
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                <text>Copyright (c) 2022 Esraa Jaffar Baker, Juliana Aida Abu Bakar, Abdul Nasir Zulkifli</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 114-126</text>
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                <text>1865-7923</text>
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                <text>Mobile Augmented Reality, Hearing-Impaired, Museum Visitors, Engagement</text>
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                <text>Evaluation of Mobile Augmented Reality Hearing-Impaired Museum Visitors Engagement Instrument</text>
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                <text>Ton, Anh Don</text>
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                <text>Hammerl, Laszlo</text>
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                <text>Szabó-Szentgróti, Gábor</text>
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                <text>The study examines the behaviour of two characteristic traits on knowledge retention, mediated using modern smartphone usage in the corporate environment of cross-functional teams. For the investigation, a self-made model was applied that associates the personality, focusing on the traits of neuroticism and openness towards new concepts and statistically evaluates the effect of increased technological usage. A dataset of 101 individuals working in cross-functional teams was used to test the model. A total of four main hypotheses were developed and statistically tested. Exalted presence of openness towards new experiences was evaluated as a critical factor leading to decreasing knowledge retention. Furthermore, although it was deducted, that neuroticism could not be verified as a knowledge limiting factor in the applied model, smartphone usage could drastically reduce its potentially dangerous factors by using efficient and short communication channels, reaffirmation and commendation by higher-ups and colleagues alike to bolster the missing self-esteem and self-consciousness of neurotic individuals. In contrast, openness was not connected significantly to deliberate knowledge hiding, as individuals incorporating this trait presumably tend to use technological tools of all kinds inherently due to their eagerness to experiment.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30503</text>
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                <text>10.3991/ijim.v16i11.30503</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/30503/11413</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2022 Anh Don Ton, Laszlo Hammerl, Gábor Szabó-Szentgróti</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 162-177</text>
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                <text>1865-7923</text>
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                <text>smartphone</text>
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                <text>neuroticism</text>
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                <text>openness</text>
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                <text>cross-functional team</text>
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                <text>Using Smartphones to Prevent Cross-Functional Team Knowledge Hiding: The Impact of Openness &amp; Neuroticism</text>
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                <text>Alsarhan, Ayoub</text>
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                <text>Igried, Bashar</text>
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                <text>Fahed Al-Serhan, Atalla</text>
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                <text>Alkhalidy , Muhsen</text>
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                <text>The evolution of the current centric cloud to distributed clouds such as fog presents a suitable path to counteract the intolerable processing delays for time-critical applications. It is anticipated that more fog nodes (FN) will be connected to the IoT paradigm to improve the quality of service and meet the requirements of emerging IoT applications. Typically, the owner manages these FN nodes opening up promising doors towards new business opportunities. Thus, this paper considers fog computing driven network that consists of a set of FNs, distributed on the network edge to serve cloud clients.&amp;nbsp; Cloud service provider (CSP), in turn, can offer new services, define a profile for each service, and set generate revenue.&amp;nbsp; However, new schemes should be developed to make this dynamic business model economically feasible. In this context, we propose a new intelligent scheme for service trading, in which a new genetic algorithm is developed for selecting a set of optimal clients that maximize CSP’s profit using game theory for setting the service price. Game theory captures the conflict between cloud clients and CSP, where clients and CSP try to maximize their respective utilities. While CSP attempts to maximize profit, each client tries to negotiate for a lower service price.&amp;nbsp; Simulation results stress that the CSP can maximize profit by utilizing computational resources efficiently and selecting service requests with the highest possible bid.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30479</text>
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                <text>10.3991/ijim.v16i10.30479</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/30479/11363</text>
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                <text>Copyright (c) 2022 Ayoub Alsarhan, Dr. Bashar Alkhawaldeh, Atalla  Fahed Al-Serhan, Muhsen  Alkhalidy</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 191-209</text>
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                <text>1865-7923</text>
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                <text>fog computing, Internet of Things (IoT), game theory, genetic algorithm.</text>
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                <text>A Novel Genetic and Intelligent Scheme for Service Trading  in IoT Fog Networks</text>
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                <text>Alsharaiah, Mohammad A.</text>
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                <text>H. Baniata , Laith</text>
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                <text>Al Adwan , Omar</text>
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                <text>Abu Alghanam, Orieb</text>
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                <text>Mustafa, Nedal</text>
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                <text>Baniata , Mohammad</text>
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                <text>Organism network systems provide a biological data with high complex level. Besides, these data reflect the complex activities in organisms that identifies nonlinear behavior as well. Hence, mathematical modelling methods such as Ordinary Differential Equations model (ODE's) are becoming significant tools to predict, and expose implied knowledge and data. Unfortunately, the aforementioned approaches face some of cons such as the scarcity and the vagueness in the biological knowledge to expect the protein concentrations measurements. So, the main object of this research presents a computational model such as a neural Feed Forward Network model using Back Propagation algorithm to engage with imprecise and missing biological knowledge to provide more insight about biological systems in organisms. Therefore, the model predicts protein concentration and illustrates the nonlinear behavior for the biological dynamic behavior in precise form. Also, the desired results are matched with recent ODE's model and it provides precise results in simpler form than ODEs.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30467</text>
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                <text>10.3991/ijim.v16i12.30467</text>
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            <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>
            <elementTextContainer>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30467/11529</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48867">
                <text>Copyright (c) 2022 mohammad alsharaiah, Laith  H. Baniata , Omar  Al Adwan , Orieb  Abu Alghanam, Ahmad  Abo Shareih, Laith  Alzboon , Mohammad  Baniata</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="48869">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 32-51</text>
              </elementText>
              <elementText elementTextId="48870">
                <text>1865-7923</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48871">
                <text>artificial neural Feed Forward Network</text>
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              <elementText elementTextId="48872">
                <text>Back Propagation; organism</text>
              </elementText>
              <elementText elementTextId="48873">
                <text>Cyclin E;</text>
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              <elementText elementTextId="48874">
                <text>Progression process</text>
              </elementText>
              <elementText elementTextId="48875">
                <text>synthesis</text>
              </elementText>
              <elementText elementTextId="48876">
                <text>prediction model</text>
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              <elementText elementTextId="48877">
                <text>Ordinary differential equations model(ODE's)</text>
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            </elementTextContainer>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48878">
                <text>Neural Network Prediction Model to Explore Complex  Nonlinear Behavior in Dynamic Biological Network</text>
              </elementText>
            </elementTextContainer>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>info:eu-repo/semantics/article</text>
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              <elementText elementTextId="48880">
                <text>info:eu-repo/semantics/publishedVersion</text>
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              <elementText elementTextId="48881">
                <text>Peer-reviewed Article</text>
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  <item itemId="2282" public="1" featured="0">
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          <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>
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            </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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    <elementSetContainer>
      <elementSet elementSetId="1">
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        <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="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="48828">
                <text>Aminah, Neneng</text>
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                <text>Sukestiyarno</text>
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                <text>Wardono</text>
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              <elementText elementTextId="48831">
                <text>Adi Nur Cahyono</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="48832">
                <text>2022-07-26</text>
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            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48833">
                <text>The pandemic situation forces us to use technology in learning. Likewise, prospective teachers who do field practice must prepare themselves to learn to use technology. So to overcome this, research was conducted to determine the validity, practicality, and responses of prospective teachers to the Computational Thinking (CT) based teaching practice model for mathematics teachers. This study uses Research and Development (R&amp;amp;D) with the ADDIE model, questionnaire validation, practicality questionnaire and teacher candidate response questionnaire used in the study. The results showed that the design of teaching practice based on the CT approach was very feasible to use, marked by the results of validation, practicality and positive responses from prospective teachers to the practice model used, as well as an increase in creativity of teaching practice. We recommend a CT-based teaching practice model using Ed-Tech on a hybrid learning system. This research is still limited to the mathematics department and for future researchers to carry out this practice in other majors in the university environment.</text>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="48834">
                <text>application/pdf</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="48835">
                <text>https://online-journals.org/index.php/i-jim/article/view/30463</text>
              </elementText>
              <elementText elementTextId="48836">
                <text>10.3991/ijim.v16i14.30463</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48837">
                <text>eng</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="48838">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="48839">
                <text>https://online-journals.org/index.php/i-jim/article/view/30463/11755</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48840">
                <text>Copyright (c) 2022 Neneng Aminah, Prof. Dr. YL. Sukestiyarno, M.Si., Dr. Wardono, M.Si., Dr. Rer. Nat. Adi Nur Cahyono, M.Pd.</text>
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              <elementText elementTextId="48841">
                <text>https://creativecommons.org/licenses/by/4.0</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="48842">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 43-62</text>
              </elementText>
              <elementText elementTextId="48843">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48844">
                <text>Computational thinking approach</text>
              </elementText>
              <elementText elementTextId="48845">
                <text>Teaching Mathematics</text>
              </elementText>
              <elementText elementTextId="48846">
                <text>Hybrid learning</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48847">
                <text>A Teaching Practice Design Based on a Computational Thinking Approach for Prospective Math Teachers Using Ed-tech Apps</text>
              </elementText>
            </elementTextContainer>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>info:eu-repo/semantics/article</text>
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              <elementText elementTextId="48849">
                <text>info:eu-repo/semantics/publishedVersion</text>
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              <elementText elementTextId="48850">
                <text>Peer-reviewed Article</text>
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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>
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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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <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="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48803">
                <text>Yuensuk , Thanet</text>
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              <elementText elementTextId="48804">
                <text>Limpinan , Potsirin</text>
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              <elementText elementTextId="48805">
                <text>Nuankaew , Wongpanya</text>
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                <text>Nuankaew, Pratya</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>
            <elementTextContainer>
              <elementText elementTextId="48807">
                <text>2022-05-10</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="48808">
                <text>Using technology to deliver specific human interests is gaining attention. It results in humans being presented differently with what each individual wants. Therefore, this research aims to develop a culturally tourism recommended application using machine learning technology. It has three objectives: to develop a predictive model for cultural tourism management using text mining techniques, to evaluate the effectiveness of the cultural tourist attraction management model, and to assess the satisfaction of using the application for cultural tourism management. The research data was collected on Facebook conversations from 385 tourists (3,257 transactions) who had traveled to a famous tourist destination in Maha Sarakham Province. The prediction model development tools are three classification techniques including Naïve Bayes, Neural Network, and K-Nearest Neighbor. The model performance evaluation tool consists of a confusion matrix and cross-validation methods. In addition, a questionnaire was used to assess the satisfaction of the application. The results showed that the model with the highest accuracy was modeled by the Naïve Bayes technique with an accuracy of 91.65%. Simultaneously, the level of satisfaction with the application was high, with an average of satisfaction equal to 3.98 (S.D. equal to 0.69). It was therefore concluded that the application was accepted by it to be further expanded to offer more widespread research.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="48809">
                <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="48810">
                <text>https://online-journals.org/index.php/i-jim/article/view/30439</text>
              </elementText>
              <elementText elementTextId="48811">
                <text>10.3991/ijim.v16i09.30439</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48812">
                <text>eng</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="48813">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="48814">
                <text>https://online-journals.org/index.php/i-jim/article/view/30439/11267</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48815">
                <text>Copyright (c) 2022 Thanet  Yuensuk , Potsirin  Limpinan , Wongpanya Sararat Nuankaew , Pratya Nuankaew</text>
              </elementText>
              <elementText elementTextId="48816">
                <text>https://creativecommons.org/licenses/by/4.0</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="48817">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 146-163</text>
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              <elementText elementTextId="48818">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48819">
                <text>Cultural Tourism Management</text>
              </elementText>
              <elementText elementTextId="48820">
                <text>Opinion Data Mining</text>
              </elementText>
              <elementText elementTextId="48821">
                <text>Text Mining</text>
              </elementText>
              <elementText elementTextId="48822">
                <text>Tourist Attraction</text>
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                <text>Tourist Experience</text>
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            <name>Title</name>
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                <text>Information Systems for Cultural Tourism Management Using Text Analytics and Data Mining Techniques</text>
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                <text>info:eu-repo/semantics/article</text>
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          <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>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <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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    <elementSetContainer>
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        <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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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="48777">
                <text>Mohd Suki , Norbayah</text>
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                <text>Mohd Suki, Norazah</text>
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                <text>Ishak , Mohamed Mustafa</text>
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                <text>Ahmad, Rosliza</text>
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                <text>Sudin, Kamal Bahrin</text>
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                <text>2022-05-10</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The purpose of this study is to conduct a bibliometric analysis of publications on 3D animation in the Scopus database. Microsoft Excel, VOSviewer for data visualisation, and Harzing's Publish or Perish for citation metrics and analysis were employed to conduct the bibliometric analysis. Data were analysed among a sample of 305 publications on 3D animation published between 1984 and 2021 available in the Scopus database. The bibliometric analysis reveals that the number of publications on 3D animation research has been constantly increasing since 2002. In 2020, the total number of documents published in 3D animation reached 29 articles. China was named the most active country in the field of 3D animation. A total of 888 researchers from 43 different countries and 31 different institutions published 3D animations in multiple languages, including multi-author collaboration. Computer Science and Engineering are the two disciplines that are most prominently represented in the study of 3D animation. The most active institutions that published key publications linked to 3D animation research were Universitas Diponegoro and the University of Sharjah. This research is unique and significant to contribute to advancing the body of knowledge on 3D animation to add value to the complexities of scientific narratives. Future research direction is also furnished.</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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              <elementText elementTextId="48785">
                <text>https://online-journals.org/index.php/i-jim/article/view/30371</text>
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              <elementText elementTextId="48786">
                <text>10.3991/ijim.v16i09.30371</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="48787">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="48788">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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              <elementText elementTextId="48789">
                <text>https://online-journals.org/index.php/i-jim/article/view/30371/11255</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 41-54</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 175-190</text>
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                <text>1865-7923</text>
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                <text>A Bibliometric Analysis of Mobile Assisted Second Language Learning</text>
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                <text>Islam, Gazi Zahirul</text>
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                <text>Gas Leakage and its fatal effects are a great concern throughout the world, especially in developing countries like Bangladesh. Every year lots of people died and countless damages to assets occur due to the fire caused by the gas leakage. Not only that but gas leakage and explosion are also very harmful to the climate. Thus, a system to detect gas leakage and preventive measures is of utmost importance. In this project, we design and implement an intelligent IoT prototype to detect gas leakage, and the fire caught by gas leakage. Our goal is to minimize the effect of gas leakage by taking some protective measures. When the gas sensor, detects the gas leakage, the solenoid valve shuts off the gas line, and the exhaust fan starts to run. Again, when the flame sensor detects a fire, the sucker throws the fire extinguisher balls to the fire. The GSM SIM module notifies the user by sending a message to his smartphone. The buzzer sounds when a mishap occurs and the LCD monitor always shows the status of the system. In this way, we have efficiently designed and implemented a low-cost and intelligent gas leak detection and fire suppression system.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30311</text>
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                <text>10.3991/ijim.v16i21.30311</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="48741">
                <text>Copyright (c) 2022 Gazi Zahirul Islam, Md. Mobarak Hossain, Md. Faruk, Fernaz Narin Nur, Nayeem Hasan, Zerin Nasrin Tumpa, Md. Khalid Mahbub Khan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 49-70</text>
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                <text>1865-7923</text>
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                <text>Internet of Things</text>
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                <text>IoT-Based Intelligent Gas Leakage Detection and Fire Protection System</text>
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                <text>Hashim, Ahmad Sobri</text>
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                <text>Mobile phones that accept input by a user’s finger motion are becoming increasingly common. However, they still have challenging problems to research, such as the ergonomic and safety aspects. As an outcome, more research required its capabilities and a critical examination of the existing gestural interfaces and how they assist drivers' activities while driving. This research paper attempts to present a comprehensive understanding of possible gestures on the smartphones by conducting user testing with a sample data of 30 drivers from three different age groups. The user testing was performed in an actual driving environment. Observation and interviews were carried out to study drivers’ behavior while driving. The data gathered were then interpreted into action and motivation levels. The action level was defined by how drivers interact with smartphones while driving, and in motivation level, a study on why drivers interact in that manner was conducted. The results were then drawn to a table with the task carried out during user testing. In conclusion, this research aims to consider all these issues that drivers confront while driving. This is to determine how a more advanced gestural interaction of smartphone interfaces may be created to meet drivers' safety and ergonomic concerns.</text>
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                <text>Copyright (c) 2022 Jayasankari Ganasan, Ts. Dr. Ahmad Sobri Hashim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 76-92</text>
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                <text>1865-7923</text>
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                <text>action level</text>
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                <text>car driver</text>
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                <text>finger gesture</text>
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                <text>motivation level</text>
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                <text>smartphone user interface</text>
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                <text>Task Based Test Case Generation on Available Gestural Interaction of Smartphone for Improved Safety and Ergonomics in Real Driving Scenario</text>
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