31 research outputs found

    Psychological and demographic predictors of cellular phone use of college students

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    The present study examined psychological and demographic predictors of cellular phone use of college students. The participants were 158 undergraduate students enrolled at a public university in the Southeastern United States. Each participant reported demographic information and completed the Coopersmith Self-Esteem Inventory, the Trait Scale of the State-Trait Anxiety Inventory, and the Cellular Telephone Inventory. Participants\u27 responses to the Cellular Telephone Inventory produced four measures of cellular phone use: daily phone use in minutes, instrumental use, emotional/social use, and problematic use. Multiple regression analyses were used to determine the degree to which a set of six predictor variables (self-esteem, trait anxiety, gender, age, class rank, and mileage from hometown) predicted each of the cellular phone use measures. The predictor variables accounted for 6% of the variance in daily phone use scores, 12% of the variance in the instrumental use scores, 26% of the variance in the emotional/social use scores, and 8% of the variance in the problematic use scores. The psychological variables of self-esteem and trait anxiety did not make a significant contribution to the prediction of any of the four cellular use measures; however, several demographic variables were significant predictors. Suggestions for future research on cellular phone use in the college population are discussed

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Heritage metadata : a digital periegesis

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    Over the past decades the extraordinary growth of new technologies has made it possible to extract data from literary texts and analyse them using digital tools. This chapter focuses on the process of creating an enriched digital edition of Pausanias's Periegesis Hellados or Description of Greece. The purpose of this research is twofold: to identify 'heritage data' in Pausanias and to describe the technical and epistemological parameters of their aggregation and organisation. In answering the essentially digital humanities research question "how Pausanias's literary heritage information can be best organised and connected to the archaeological record on the ground", the Digital Periegesis project is charting and analysing the relevant digital tools and methods by which extensive semantic annotation and Linked Open Data (LOD) can facilitate the organisation of heritage information in Pausanias's text and its connection to actual archaeological finds. This chapter discusses the potential application of Geographic Information Science (GISc) and Geographic Information System (GIS) for such complex pre-cartesian narrative analysis. Finally, it emphasises the importance of building geo-spatially enriched digital editions collaboratively, involving discipline specialist researchers and information organisation experts, with the aim of interpreting histories of "place"
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