Search results for " popularity"
showing 5 items of 5 documents
Cardiac troponin I and T: Exploring popularity with Google Trends
2020
The implementation of high-sensitivity cardiac troponin T (hs-cTnT) assays and a cutoff based on the 99th cTnT percentile in the evaluation of patients with suspected acute coronary syndrome has not been uniform due to uncertain effects on health benefits and utilization of limited resources.Clinical and laboratory data from patients with chest pain or dyspnea at the emergency de¬partment (ED) were evaluated before (n = 20516) and after (n = 18485) the lowering of the hs-cTnT cutoff point from 40 ng/L to the 99th hs-cTnT percentile of 14 ng/L in February 2012. Myocardial infarction (MI) was diagnosed at the discretion of the attending clinicians responsible for the patient.Following lowerin…
Anti-schoolness in context: the tension between the youth project and the qualifications project
2011
Published version of an article in the journal Social Psychology of Education. Also available from the publisher at: http://dx.doi.org/10.1007/s11218-011-9153-3 In this ethnographic study conducted in two classrooms in Norway, grade nine (14-year-olds) in lower secondary school and the first year (16-year-olds) of upper secondary school, attention is drawn to how classroom culture is constituted through relationships between students. Through processes of power, dominance, hegemony and marginalisation, classroom culture forms the conditions for a learning environment, and has different opportunities, dilemmas and costs for the students. As classroom culture is negotiated in contextual and r…
A model-based approach to Spotify data analysis: a Beta GLMM
2020
Digital music distribution is increasingly powered by automated mechanisms that continuously capture, sort and analyze large amounts of Web-based data. This paper deals with the management of songs audio features from a statistical point of view. In particular, it explores the data catching mechanisms enabled by Spotify Web API and suggests statistical tools for the analysis of these data. Special attention is devoted to songs popularity and a Beta model, including random effects, is proposed in order to give the first answer to questions like: which are the determinants of popularity? The identification of a model able to describe this relationship, the determination within the set of char…
Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era
2018
The unprecedented growth of wireless data traffic not only challenges the design and evolution of the wireless network architecture, but also brings about profound opportunities to drive and improve future networks. Meanwhile, the evolution of communications and computing technologies can make the network edge, such as BSs or UEs, become intelligent and rich in terms of computing and communications capabilities, which intuitively enables big data analytics at the network edge. In this article, we propose to explore big data analytics to advance edge caching capability, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resou…
Sakē popularitātes kritums Japānas modernajā sabiedrībā: iemesli un risinājumi
2017
Bakalaura darba nosaukums ir “Sakē popularitātes kritums Japānas modernajā sabiedrībā: iemesli un risinājumi”. Šajā darbā autore ir izpētījusi sakē vēsturi no seniem laikiem līdz mūsdienām. Darba mērķis ir uzzināt iemeslus sakē popularitātes kritumam mūsdienu Japānā kā arī izprast, ko sakē nozīmē Japāņiem. Inovāciju parādīšanas Japānā nenozīmēja veco, tradicionālo vērtību aizmiršanu. Japānas sabiedrībā vecais un jaunais daudzos gadījumos ir gājis roku rokā. Viens no pierādījumiem tam ir šajā darbā aprakstītais fenomens, ka mūsdienu japāņi dzer gan tradicionālo sakē, gan importētos dzērienus. Bakalaura darbs sastāv no 50 lpp. Tajā ir 3 nodaļas. Pirmajā nodaļā stāstīts par vispārējo sakē vēst…