Zobrazeno 1 - 10 of 221 pro vyhledávání: '"Ian Kenny"'
1
Akademický článek
Prevalence of Health Misinformation on Social Media—Challenges and Mitigation Before, During, and Beyond the COVID-19 Pandemic: Scoping Literature Review
Autor: Dhouha Kbaier, Annemarie Kane, Mark McJury, Ian Kenny
Publikováno v: Journal of Medical Internet Research, Vol 26, p e38786 (2024)
BackgroundThis scoping review accompanies our research study “The Experience of Health Professionals With Misinformation and Its Impact on Their Job Practice: Qualitative Interview Study.” It surveys online health misinformation and is intended t
Externí odkaz: https://doaj.org/article/51553436811043f8974813dcd7db9780
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2
Creating ‘a Simple Conversation’: Designing a Conversational User Interface to Improve the Experience of Accessing Support for Study
Autor: Francisco Iniesto, Tim Coughlan, Kate Lister, Peter Devine, Nick Freear, Richard Greenwood, Wayne Holmes, Ian Kenny, Kevin McLeod, Ruth Tudor
Publikováno v: ACM Transactions on Accessible Computing. 16:1-29
Administrative processes are ubiquitous in modern life and have been identified as a particular burden to those with accessibility needs. Students who have accessibility needs often have to understand guidance, fill in complex forms, and communicate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a995319d85270db3c596c509775e884
https://doi.org/10.1145/3568166
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3
Akademický článek
Taylor, the Disability Disclosure Virtual Assistant: A Case Study of Participatory Research with Disabled Students
Autor: Kate Lister, Tim Coughlan, Ian Kenny, Ruth Tudor, Francisco Iniesto
Publikováno v: Education Sciences, Vol 11, Iss 10, p 587 (2021)
Administrative burden in education is a serious issue for disabled students. Form-filling and bureaucracy are ubiquitous in further and higher education, particularly for students who need to disclose a disability and arrange for accommodations and s
Externí odkaz: https://doaj.org/article/aeadb6cb1bed4499be8fc1691500b1bd
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5
Prevalence of Health Misinformation on Social Media: Challenges and Mitigation before, during and beyond the COVID-19 Pandemic (Preprint)
Autor: Dhouha Kbaier, Annemarie Kane, Ian Kenny
UNSTRUCTURED We consider the prevalence of misinformation online before and during the Covid 19 pandemic and the effect that has on health practitioners’ practice. The pressures and distractions that health professionals face in attempting to mitig
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4109c9a888e10dd489a2dc761e692640
https://doi.org/10.2196/preprints.38786
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7
Risk factors for acute ankle sprains in field-based, team contact sports: a systematic review of prospective etiological studies
Autor: Patrick Dolan, Ian Kenny, Liam Glynn, Mark Campbell, Giles D Warrington, Roisin Cahalan, Andrew Harrison, Mark Lyons, Thomas Comyns
The aim of this systematic review was to identify prospectively measured ankle sprain risk factors in field-based team contact sports. Eight databases including SPORTDiscus, CINAHL Complete, MEDLINE (EBSCO), Education Source, Web of Science, Scopus,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ffd6f8c0174d28919e2b3046368b56f
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8
Taylor, the Disability Disclosure Virtual Assistant: A Case Study of Participatory Research with Disabled Students
Autor: Ruth Tudor, Tim Coughlan, Francisco Iniesto, Kate Lister, Ian Kenny
Publikováno v: Education Sciences
Volume 11
Issue 10
Education Sciences, Vol 11, Iss 587, p 587 (2021)
Administrative burden in education is a serious issue for disabled students. Form-filling and bureaucracy are ubiquitous in further and higher education, particularly for students who need to disclose a disability and arrange for accommodations and s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e11bd37b978c52ba07a00154804d92
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10
Hydrographical Flow Modelling of the River Severn Using Particle Swarm Optimization
Autor: Ian Kenny
Publikováno v: The Computer Journal. 63:1713-1726
A model is presented to model hydrographical flow, which we apply to flood forecasting in the River Severn catchment area. The approach uses Particle Swarm Optimization (PSO), a swarm computation heuristic, to produce a predictive model of hydrograph
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e490c2fe624ba0991b1cac020d2b4e5c
https://doi.org/10.1093/comjnl/bxz106
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