Institution
University College Cork
Education•Cork, Ireland•
About: University College Cork is a education organization based out in Cork, Ireland. It is known for research contribution in the topics: Population & Context (language use). The organization has 12056 authors who have published 28452 publications receiving 958414 citations. The organization is also known as: Coláiste na hOllscoile Corcaigh & National University of Ireland, Cork.
Topics: Population, Context (language use), Irish, Gut flora, Health care
Papers published on a yearly basis
Papers
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TL;DR: Potentially inappropriate drug prescribing and errors of drug omission are highly prevalent among older people living in the community and prevention strategies should involve primary care doctors and community pharmacists.
Abstract: AIMS
Screening tools have been formulated to identify potentially inappropriate prescribing (IP) in older people. Beers' criteria are the most widely used but have disadvantages when used in Europe. New IP screening tools called Screening Tool of Older Person's Prescriptions (STOPP) and Screening Tool to Alert doctors to Right Treatment (START) have been developed to identify potential IP and potential prescribing omissions (PPOs). The aim was to measure the prevalence rates of potential IP and PPOs in primary care using Beers' criteria, STOPP and START.
277 citations
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TL;DR: Both indigenous and bacterial enzymes contributed to the initial degradation of myofibrillar proteins, and indigenous enzymes were responsible for the release of TCA-soluble peptides, which were further hydrolysed by bacterial enzymes.
277 citations
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19 Dec 2016TL;DR: A survey of the most discussed beyond-accuracy objectives in recommender systems research: diversity, serendipity, novelty, and coverage is presented and the positive influence of novelty on recommendation coverage is demonstrated.
Abstract: What makes a good recommendation or good list of recommendations?Research into recommender systems has traditionally focused on accuracy, in particular how closely the recommender’s predicted ratings are to the users’ true ratings. However, it has been recognized that other recommendation qualities—such as whether the list of recommendations is diverse and whether it contains novel items—may have a significant impact on the overall quality of a recommender system. Consequently, in recent years, the focus of recommender systems research has shifted to include a wider range of “beyond accuracy” objectives.In this article, we present a survey of the most discussed beyond-accuracy objectives in recommender systems research: diversity, serendipity, novelty, and coverage. We review the definitions of these objectives and corresponding metrics found in the literature. We also review works that propose optimization strategies for these beyond-accuracy objectives. Since the majority of works focus on one specific objective, we find that it is not clear how the different objectives relate to each other.Hence, we conduct a set of offline experiments aimed at comparing the performance of different optimization approaches with a view to seeing how they affect objectives other than the ones they are optimizing. We use a set of state-of-the-art recommendation algorithms optimized for recall along with a number of reranking strategies for optimizing the diversity, novelty, and serendipity of the generated recommendations. For each reranking strategy, we measure the effects on the other beyond-accuracy objectives and demonstrate important insights into the correlations between the discussed objectives. For instance, we find that rating-based diversity is positively correlated with novelty, and we demonstrate the positive influence of novelty on recommendation coverage.
277 citations
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01 Mar 2000TL;DR: Introduction to DS- CDMA Chaos-Based Asynchronous DS-CDMA systems, Noise Generation in Silicon Robustness of Chaos in Analog Implementations, and Schemes for Communicating with Chaotic Signals.
Abstract: Introduction CHAOS AT CODE LEVEL Introduction to DS-CDMA Chaos-Based Asynchronous DS-CDMA systems. Sequences of I.I.D Random Variables CHAOS AT SIGNAL LEVEL Introduction to Schemes for Communicating with Chaotic Signals Noise-Filtering in Chaotic Communications Chaotic Modulation Schemes Synthesis and Design CHAOS AT HARDWARE LEVEL Introduction Noise Generation in Silicon Robustness of Chaos in Analog Implementations.
276 citations
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TL;DR: This study suggests that M. edulis is a suitable model animal for environmental toxicology studies of nanoparticles, indicating that nanoparticle size is a key factor in biological responses to nanoparticles.
275 citations
Authors
Showing all 12300 results
Name | H-index | Papers | Citations |
---|---|---|---|
Stephen J. O'Brien | 153 | 1062 | 93025 |
James J. Collins | 151 | 669 | 89476 |
J. Wouter Jukema | 124 | 785 | 61555 |
John F. Cryan | 124 | 723 | 58938 |
Fergus Shanahan | 117 | 705 | 51963 |
Timothy G. Dinan | 116 | 689 | 60561 |
John M. Starr | 116 | 695 | 48761 |
Gordon G. Wallace | 114 | 1267 | 69095 |
Colin Hill | 112 | 693 | 54484 |
Robert Clarke | 111 | 512 | 90049 |
Douglas B. Kell | 111 | 634 | 50335 |
Thomas Bein | 109 | 677 | 42800 |
Steven C. Hayes | 106 | 450 | 51556 |
Åke Borg | 105 | 444 | 53835 |
Eamonn Martin Quigley | 103 | 685 | 39585 |