38 Works
QoS-Aware IPTV Routing Algorithms
Patrick McDonagh, Philip Perry & Liam MurphyMobilisation and physiotherapy intervention following hip fracture: snapshot survey across six countries from the Fragility Fracture Network Physiotherapy Group
Kate Purcell, Anne Tiedemann, Morten Tange Kristensen, Caitriona Cunningham, Vegar Hjermundrud, Patrocinio Ariza-Vega, Monica Perracini & Catherine Sherrington
Hip fracture guidelines recommend early mobilisation, multidisciplinary care, physiotherapy and fall prevention interventions. This study documents mobilisation practices and physiotherapy interventions provided post-hip fracture in six countries. Physiotherapists from orthopaedic wards in Denmark, Australia, Spain, Brazil, Norway and Ireland provided information regarding mobilisation and physiotherapy for 10 consecutive hip fracture patients (>60 years), between 2014 and 2018. Physiotherapists (n = 107) entered data on 426 patients. Two-thirds of patients (283, 66%) attempted standing 0-1 days...
The Nonlinear Amplification of Magnetic Fields by Cosmic Rays at Supernova Remnant Shocks
Brian Reville, Peter Duffy & Stephen O'SullivanThe AMPHERE Algorithm: Area Masking with the PERformance Equation
Bianca Schoen-Phelan, Gregory O'Hare, Brian Duffy, Alan Martin & John BradleyPolitical Agreements in Internal Conflicts (PAIC) Dataset and Codebook
Giuditta Fontana, Argyro Kartsonaki, Natascha Neudorfer, Dawn Walsh, Stefan Wolff & Crystalla YakinthouStorage, Manipulation, and Visualization of LiDAR Data
Bianca Schoen-Phelan, M. Bertolotto, D. F. Laefer & Sean CorishHyperspectral Imaging for the Detection of Microbial Spoilage of Mushrooms
Edurne Gaston, Jesus Maria Frias, Patrick Cullen, Colm O’Donnell & Aoife Gowen, University College Dublin Aoife Gowen, University College DublinHigh diversity of mites (Acari: Oribatida, Mesostig-mata) supports the high conservation value of a broadleaf forest in Eastern Norway
Anna Seniczak, Stanisław Seniczak, Josef Starý, Sławomir Kaczmarek, Bjarte Jordal, Jarosław Kowalski, Steffen Roth, Per Djursvoll & Thomas Bolger
Broadleaf forests are critical habitats for biodiversity and this biodiversity is in turn essential for their proper functioning. Mites (Acari) are a numerous and functionally essential component of these forests. We report the diversity of two important groups, Oribatida and Mesostigmata, in a broadleaf forest in Eastern Norway which is considered to be a biodiversity hotspot. Eighteen samples, each 500 cm3, were collected from diverse microhabitats (moss on ground, lichens on tree twigs lying on...
Mobilisation and physiotherapy intervention following hip fracture: snapshot survey across six countries from the Fragility Fracture Network Physiotherapy Group
Kate Purcell, Anne Tiedemann, Morten Tange Kristensen, Caitriona Cunningham, Vegar Hjermundrud, Patrocinio Ariza-Vega, Monica Perracini & Catherine Sherrington
Hip fracture guidelines recommend early mobilisation, multidisciplinary care, physiotherapy and fall prevention interventions. This study documents mobilisation practices and physiotherapy interventions provided post-hip fracture in six countries. Physiotherapists from orthopaedic wards in Denmark, Australia, Spain, Brazil, Norway and Ireland provided information regarding mobilisation and physiotherapy for 10 consecutive hip fracture patients (>60 years), between 2014 and 2018. Physiotherapists (n = 107) entered data on 426 patients. Two-thirds of patients (283, 66%) attempted standing 0-1 days...
Microplastics in Eurasian otter (Lutra lutra) spraints and their potential as a biomonitoring tool in freshwater systems
James D. O'Connor, Heather T. Lally, Anne-Marie Mahon, Ian O'Connor, Róisín Nash, John J. O'Sullivan, Michael Bruen, Linda Heerey, Albert A. Koelmans, Ferdia Marnell & Sinéad Murphy
The ubiquitous nature of microplastics in aquatic ecosystems may have serious implications for aquatic biota. While microplastic research in freshwater ecosystems is increasing, very few studies have assessed the physical presence of microplastics among top predators. The Eurasian otter (Lutra lutra), a top predator of aquatic ecosystems, is one of the most widely distributed otter species and has a broad habitat niche. The opportunistic collection of otter spraints (i.e. feces) presents a valuable opportunity to...
Identification and evaluation of serum protein biomarkers which differentiate psoriatic from rheumatoid arthritis
Angela Mc Ardle
Objectives To identify serum protein biomarkers which might separate early inflammatory arthritis (EIA) patients with psoriatic arthritis (PsA) from those with rheumatoid arthritis (RA) and may be used to support appropriate early intervention. Methods The serum proteome of patients with PsA and RA was interrogated using liquid chromatography mass spectrometry (LC-MS/MS) (n=64 patients), a multiplexed antibody assay (Luminex) for 48 proteins (n=64 patients) and an aptamer-based assay (SOMAscan) targeting 1,129 proteins (n=36 patients). Multiple reaction...
Data from: The transcriptomics of crushing jaw convergence in cichlid fishes: comparative gene expression in recent sympatric versus older allopatric trophic adaptations
Nidal Karagic, Sarah Weis, Paolo Franchini, Axel Meyer & C. Darrin Hulsey
How gene expression diverges during adaptation might be strongly influenced by the geographic setting and timeframe over which species evolve. To contrast transcriptomic patterns of replicate trophic adaptations that evolved convergently during both allopatric and sympatric contexts, we conducted RNA-seq on the trophically important lower pharyngeal jaws of two sympatrically and four allopatrically diverged species pairs of cichlid fishes. We first show that all of these species pairs have convergently diverged along a crushing trophic...
Appendices interview formats
Una Cunningham, Aoife De Brún, Willgerodt Mayumi, Erin Blakeney & Eilish McAuliffe
Background: Literature on multi-disciplinary healthcare team interventions to improve quality and safety of care in acute hospital contexts tends to focus on evaluating the success of the intervention by assessing patient outcomes. In contrast, there is little focus on the team who delivered the intervention, how the team worked to deliver the intervention or the context in which it was delivered. In practice, there is a poor understanding of why some interventions work and are...
Gathering Datasets for Activity Identification
Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox, Mathew Staelber, Simon Dobson & Paddy NixonVirtual Personal Assistants in a Pervasive Computing World
John Bradley, Brian R. Duffy, Gregory O'Hare, Alan Martin & Bianca Schoen-PhelanIntegrative genomics of the mammalian alveolar macrophage response to intracellular mycobacteria: RNA-seq statistics and results
David MacHugh, Thomas Hall, Michael Mullen, Gillian McHugo, Kate Killick, Donagh Berry, Siobhán Ring, Carolina Correia, John Browne & Stephen Gordon
Background: Bovine TB (bTB), caused by infection with Mycobacterium bovis, is a major endemic disease affecting global cattle production. The key innate immune cell that first encounters the pathogen is the alveolar macrophage, previously shown to be substantially reprogrammed during intracellular infection by the pathogen. Here we use differential expression, and correlation- and interaction-based network approaches to analyse the host response to infection with M. bovis at the transcriptome level to identify core infection response...
Machine annotation of sets of traditional Irish dance tunes
Bryan Duggan, Brendan O'Shea, Mikel Gainza & Padraig CunninghamECUE: a spam filter that uses machine learning to track concept drift
Sarah Jane Delany, Padraig Cunningham & Barry SmythEmpowering Agents within Virtual Environments
Alan Martin, Brian Duffy, Gregory O'Hare, Bianca Schoen-Phelan & John BradleyPartnering in a Pandemic: a Case Study on Designing Teaching and Learning Tools by Undergraduate and Graduate Medical Students with Academic Support
Leon Le Blanc, Ray Ardill, Louise Dowling, Jane Fagan, Matthew Kelly, Jack McCarthy, Molly Murphy-O'Kane, Emily O'Hanlon & Mary HigginsData from: Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction
William Foster, Georgy Ayzel, Jannes Münchmeyer, Tabea Rettelbach, Niklas Kitzmann, Terry Isson, Maria Mutti & Martin Aberhan
The end-Permian mass extinction occurred alongside a large swathe of environmental changes that are often invoked as extinction mechanisms, even when a direct link is lacking. One way to elucidate the cause(s) of a mass extinction is to investigate extinction selectivity as it can reveal critical information on organismic traits as key determinants of extinction and survival. Here we show that machine learning algorithms, specifically gradient boosted decision trees, can be used to identify determinants...
VISQOL: The Virtual Speech Quality Objective Listener
Andrew Hines, Jan Skoglund, Anil Kokaram & Naomi HarteReformulation Strategies of Repeated References in the Context of Robot Perception Errors in Situated Dialogue
Niels Schütte, John Kelleher & Brian Mac NameeIn utero accumulated steroids predict neonate anti-predator response in a wild mammal
Bawan Amin, Dómhnall Jennings, Adam Smith, Matthew Quinn, Srivats Chari, Amy Haigh, Devorah Matas, Lee Koren & Simone Ciuti
This file contains the raw data and R-scripts used for the analysis published in the research article: "In utero accumulated steroids predict neonate anti‐predator response in a wild mammal" (https://doi.org/10.1111/1365-2435.13790). A full and detailed description of the methods can be found in the manuscript, or at request from the author (BA). The R-scripts can be used to follow all the steps taken in the analysis and fully reproduce the effects reported. The file contains data...
Affiliations
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University College Dublin37
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Technological University Dublin17
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Queen's University Belfast3
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The University of Sydney2
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University of Bergen2
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Max Planck Institute for Psycholinguistics1
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University of Limerick1
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University of Washington1
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Google (United States)1
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Tokyo University of Agriculture and Technology1