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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 05 (2023); pp. 57-70</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 18-33</text>
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                <text>Top 100 Cited Publications for The Last Thirty Years in Digital Learning and Mobile Learning</text>
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                <text>The availability of Smartphones has increased the possibility of self-monitoring to increase physical activity and behavior change to prevent obesity. However self-monitoring on a Smartphtone comes with some challenges such as unavailability of lightweight classification algorithm, personalized dataset to completely capture bodily postures, subject sensitivity, limited storage and computational power. However, most classification algorithms such as Support Vector Machines, C4.5, Naïve Bayes and K Neighbor relies on larger dataset to accurately predict human activities. In this paper, we present top-k of compressed small personalized dataset to reduce computational cost with increased accuracy. We collected top-k personalized dataset from 13 recruited subjects. After benchmarking our collected dataset we found that the dataset is suitable for tree-oriented algorithm, especially the Random Forest, C4.5 and Boosted tree with accuracy and precision of 100% except for KNN, Support Vector and Naïve Bayes. Further, our top-k personalized dataset improves pruning and overfitting of tree-oriented algorithms. Moreover, the linear consistence of static human activities reveals the potential of our top-k dataset to be replicated to multiple-subject to close subject sensitivity challenge.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 68-86</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 17 (2022); pp. 50-59</text>
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                <text>1865-7923</text>
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                <text>Topic Modeling with Transformers for Sentence-Level Using Coronavirus Corpus</text>
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                <text>Tort law presents doctrinal barriers to plaintiffs seeking remedies for climate change harms in common law jurisdictions. However, litigants are likely to persist in pursuing tortious causes of action in the absence of persuasive policy and regulatory alternatives. Ongoing litigation in Smith v Fonterra Co-operative Group Ltd in New Zealand and Sharma v Minister for Environment in Australia highlights tensions between torts doctrine and climate change litigation in both countries. Regardless of its ultimate outcome, that litigation provides a valuable opportunity to integrate theoretical questions about the legitimacy of judicial lawmaking, and intersectional critical legal perspectives, into the teaching of torts.&amp;nbsp;</text>
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                <text>Copyright (c) 2021 The University of Queensland Law Journal</text>
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                <text>The University of Queensland Law Journal; Vol. 40 No. 3 (2021): The University of Queensland Law Journal; 421-458</text>
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                <text>Tort Law and Climate Change</text>
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                <text>Most media work today takes place under atypical conditions, i.e. media professionals such as journalists, musicians, filmmakers, advertising creatives and game developers generally work without open-ended contracts. In this essay, a theory of atypical media work is outlined highlighting this way of working and being at work from the current culture of capitalism. Further, it also throws light on how dualisms, dominating the discourse on media work – such as contracted versus freelance labour, primary and secondary sector employment, good versus bad jobs, paid versus unpaid work – are not as useful as they seem to be is shown. It also delves into the different ways of making precarity, precariousness, constrained autonomy and lack of agency and highlights themas the key problematic features of atypical work – productive (beyond productivity narratives). Throughout the argument, the reasons and motivations for (doing and studying) atypical media work are articulated with a distinct sense of shared social hope.
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                <text>Artha Journal of Social Sciences; Vol. 19 No. 3 (2020): Artha Journal of Social Sciences; 1-20</text>
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                <text>Toward a Theory of Atypical Media Work and Social Hope</text>
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                <text>There is absolutely no doubt that the social media have advanced into Tertiary Institution, but Instructors mostly use social media for personal reasons. This research explores the social media world and how teachers use social media in their classes, by conducting a mixed method research where open-ended questionnaires were given to lecturers and interviews were further conducted with some selected lecturers in order to assess how they use social media in their classes. The information collected was organized and used to teach part of a class in multimedia development course where they serve as the control group. A close-ended questionnaire was then administered to the control group at the end of the course and their level of satisfaction recorded. The remaining part of the class forms the experimental group and was taught using the researcher’s 9-point method of applying social media in the classroom; using the same questionnaire, their satisfaction level was recorded. The data collected on the student’s satisfaction level was analyzed using SPSS software version 20 and the result was that most of the teachers employ the social media for personal use, and that older teachers use less social media in education than their younger counterparts. High social media usage was found among both the teachers and students so also was the time spent on social media and a significant increase in satisfaction level was noticed among students of the experimental group.</text>
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                <text>Indiana International &amp; Comparative Law Review; Vol. 30 No. 1 (2019); 99-126</text>
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