Institution
Dublin City University
Education•Dublin, Ireland•
About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Context (language use) & Machine translation. The organization has 5904 authors who have published 17178 publications receiving 389376 citations. The organization is also known as: National Institute for Higher Education, Dublin & DCU.
Topics: Context (language use), Machine translation, Laser, Irish, Population
Papers published on a yearly basis
Papers
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TL;DR: This paper presents data from a research project which includes an analysis of pauses in post-editing, triangulated with the Choice Network Analysis method and Translog, and suggests that while pauses provide some indication of cognitive processing, supplementary methods are required to give a fuller picture.
Abstract: In translation process and language production research, pauses are seen as indicators of cognitive processing. Investigating the correlations between source text machine translatability and post-editing effort involves an assessment of cognitive effort. Therefore, an analysis of pauses is essential. This paper presents data from a research project which includes an analysis of pauses in post-editing, triangulated with the Choice Network Analysis method and Translog. Results suggest that the pause-to-keyboarding ratio does not differ significantly for sentences deemed to be more suitable for machine translation than for those deemed to be less suitable. Also, results confirm the finding in research elsewhere that pause duration and frequency is subject to individual differences. Finally, we suggest that while pauses provide some indication of cognitive processing, supplementary methods are required to give a fuller picture.
107 citations
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TL;DR: The FMOLS model finds a positive relationship between construction revenue and carbon emission, suggesting that China's construction activities negatively affect the environment, and a negative relationship between importation from China and carbon emissions, implying a positive environmental footprint by China in Africa.
107 citations
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TL;DR: A series of studies that have led to the development of a browser that is based on human memory systems are summarized and the inherent tension in storing large amounts of data but making the most relevant material the most accessible is discussed.
Abstract: Human memory is a dynamic system that makes accessible certain memories of events based on a hierarchy of information, arguably driven by personal significance. Not all events are remembered, but those that are tend to be more psychologically relevant. In contrast, lifelogging is the process of automatically recording aspects of one's life in digital form without loss of information. In this article we share our experiences in designing computer-based solutions to assist people review their visual lifelogs and address this contrast. The technical basis for our work is automatically segmenting visual lifelogs into events, allowing event similarity and event importance to be computed, ideas that are motivated by cognitive science considerations of how human memory works and can be assisted. Our work has been based on visual lifelogs gathered by dozens of people, some of them with collections spanning multiple years. In this review article we summarize a series of studies that have led to the development of a browser that is based on human memory systems and discuss the inherent tension in storing large amounts of data but making the most relevant material the most accessible.
107 citations
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TL;DR: Information obtained for the assessment and prediction of total hip arthroplasty longevity by numerical and experimental techniques used together and in parallel is of greater value than either technique used alone.
107 citations
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TL;DR: This work has developed a practical vesicle isolation technique to yield easily manageable sample volumes in an exceptionally cost efficient way to facilitate their full utilization in less privileged environments and maximize the benefit of biobanking.
Abstract: Urinary extracellular vesicles provide a novel source for valuable biomarkers for kidney and urogenital diseases: Current isolation protocols include laborious, sequential centrifugation steps which hampers their widespread research and clinical use. Furthermore, large individual urine sample volumes or sizable target cohorts are to be processed (e.g. for biobanking), the storage capacity is an additional problem. Thus, alternative methods are necessary to overcome such limitations. We have developed a practical vesicle isolation technique to yield easily manageable sample volumes in an exceptionally cost efficient way to facilitate their full utilization in less privileged environments and maximize the benefit of biobanking. Urinary vesicles were isolated by hydrostatic dialysis with minimal interference of soluble proteins or vesicle loss. Large volumes of urine were concentrated up to 1/100 of original volume and the dialysis step allowed equalization of urine physico-chemical characteristics. Vesicle fractions were found suitable to any applications, including RNA analysis. In the yield, our hydrostatic filtration dialysis system outperforms the conventional ultracentrifugation-based methods and the labour intensive and potentially hazardous step of ultracentrifugations are eliminated. Likewise, the need for trained laboratory personnel and heavy initial investment is avoided. Thus, our method qualifies as a method for laboratories working with urinary vesicles and biobanking.
107 citations
Authors
Showing all 6059 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joseph Wang | 158 | 1282 | 98799 |
David Cameron | 154 | 1586 | 126067 |
David Taylor | 131 | 2469 | 93220 |
Gordon G. Wallace | 114 | 1267 | 69095 |
David A. Morrow | 113 | 598 | 56776 |
G. Hughes | 103 | 957 | 46632 |
David Wilson | 102 | 757 | 49388 |
Muhammad Imran | 94 | 3053 | 51728 |
Haibo Zeng | 94 | 604 | 39226 |
David Lloyd | 90 | 1017 | 37691 |
Vikas Kumar | 89 | 859 | 39185 |
Luke P. Lee | 84 | 413 | 22803 |
James Chapman | 82 | 483 | 36468 |
Muhammad Iqbal | 77 | 961 | 23821 |
Michael C. Berndt | 76 | 228 | 16897 |