1,720,959 research outputs found
Predicting Mood from Digital Footprints
No full textThe increasing amount of time people spend with digital devices is driving researchers to investigate the impacts of digital technology usage on wellbeing. The debate on whether screen time affects wellbeing has not been settled yet, but the answer is likely to be complex. It is not how much time people spend on devices, but what they do that affects their wellbeing. Understanding the relationship between technology and wellbeing is important in order to raise awareness and to adjust interactions with digital technologies. Large technological companies, such as Google Digital Wellbeing, Apple Screen Time and Microsoft MyAnalytics, already collect digital behaviour data (digital footprints), often to investigate their impact on wellbeing. If such data can be used to predict mood, a continuous mood detection model could be built to predict mood unobtrusively. Continuous mood monitoring is significant because prolonged negative mood and lack of positive moods are common predictors of mental health issues, and the positive balance is one of the definitions of wellbeing (i.e., hedonic). The contributions of this thesis to this issue are (1) a tool (the MindGauge mobile application) to collect self-reports through experience sampling and to obtain digital technology usage data via integration with the RescueTime application; (2) a novel pre-processing and machine learning feature extraction method for mood prediction that includes feature generation from digital duration information and data mining techniques, such as clustering and frequent pattern mining; (3) a comparison of mood prediction models that exploit one or more of the extracted features to show how these features influence mood prediction performances. Overall, this study presents new results to better understand the relationship between digital activity and wellbeing. The methods proposed in this thesis provides important experimental bases to improve how scientists analyse and study digital technology usage
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Peningkatan Proses Pembelajaran Siswa Sekolah Dasar Melalui Pelatihan Pembuatan Video Ajar dengan Capcut
Get PDFPenggunaan video pembelajaran multimedia telah ditemukan dari penelitian sebelumnya sebagai pendekatan yang baik dalam meningkatkan proses belajar siswa sekolah dasar. Akan tetapi, kemampuan para guru sekolah dasar masih kurang dalam membuat video pembelajaran dengan animasi. Terdapat dua tujuan utama pada kegiatan yang dilakukan terhadap para guru dari Sekolah Dasar Negeri 059 Cirangrang di Bandung, Jawa Barat, yaitu: pertama, memberikan pelatihan kepada para guru sekolah dasar dan mengevaluasi keefektifannya dalam meningkatkan kualitas pengajaran para guru; kedua, untuk mengevaluasi penggunaan modul online, yang disampaikan melalui Learning Management System (LMS), dalam memfasilitasi pelatihan guru mempelajari materi pelatihan. Program pelatihan ini difokuskan untuk membekali para guru dengan keterampilan untuk menggunakan alat pengeditan video, Capcut, untuk membuat video pembelajaran instruksional. Temuan awal dari kegiatan ini menunjukkan bahwa program pelatihan ini sangat bermanfaat bagi para guru yang berpartisipasi, yang ditunjukkan dari kemampuan yang meningkat dari para guru dalam membuat video pendidikan menggunakan Capcut. Selain itu, kegiatan ini menemukan bahwa para pengguna, dalam hal ini para guru, dapat mengikuti modul online yang diimplementasikan melalui LMS dengan baik, sebagai media yang efektif untuk menyampaikan pelatihan kepada para guru
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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