Institution
Northumbria University
Education•Newcastle upon Tyne, United Kingdom•
About: Northumbria University is a education organization based out in Newcastle upon Tyne, United Kingdom. It is known for research contribution in the topics: Context (language use) & Population. The organization has 5624 authors who have published 17423 publications receiving 381949 citations. The organization is also known as: University of Northumbria at Newcastle.
Topics: Context (language use), Population, Computer science, Higher education, Visible light communication
Papers published on a yearly basis
Papers
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TL;DR: This paper draws upon the theory of transaction cost economics and the transactional nature of blockchain technology to propose a model to demonstrate how and why blockchain technology based applications are effective and how a financing system based on blockchain technology can be used to overcome many problems inherent in startup financing.
119 citations
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01 Jan 1997TL;DR: The authors furthers our understanding of the implications of global media culture and politics in the 1990s by connecting analysis of the flows and forces which form the world media and communications with the fundamental themes of social science, and illuminate the ways in which underlying questions of inequality, power and control reappear within new media environments.
Abstract: Moving beyond notions of cultural imperialism, this book furthers our understanding of the implications of global media culture and politics in the 1990s. Leading scholars from a range of fields bring different perspectives to bear on the role of the state, the range of culture beyond the media, the contribution of international organizations, and the potential for resistance and alternatives. They reflect on the `New World International Communications Order' as delineated since the 1970s, and examine its changing nature. Throughout, they connect analysis of the flows and forces which form the world media and communications with the fundamental themes of social science, and illuminate the ways in which underlying questions of inequality, power and control reappear within new media environments.
119 citations
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TL;DR: HH competition encourages participants to increase their performance primarily via an increased anaerobic energy yield, which seems to be centrally mediated, and is consistent with the concept of a physiologic reserve.
Abstract: Purpose - The study’s purpose was to examine the influence of head-to-head (HH) competition on performance, pacing strategy, and bioenergetics during a 2000-m cycling task.
Methods - Fourteen participants completed three 2000-m familiarization time trials (TTs) on a Velotron cycle ergometer, before completing an additional TT and a 2000-m simulated HH competition in a counterbalanced order. During the trials, a computer-generated image of the participants completing the 2000-m course was projected onto a screen positioned in front of the participants. Although participants believed they were competing against another individual during the HH competition, they were in fact competing against their best familiarization performance (FAM), replayed on the screen by the Velotron software.
Results - Performance was significantly faster in HH than in FAM or TT (184.6 ± 6.2, 187.7 ± 8.2, and 188.3 ± 9.5 s, respectively). Pacing profile in HH initially matched the FAM performance but was better maintained from 1000 m until the end of exercise. The higher power output during the latter part of the test was achieved by a greater anaerobic energy contribution, whereas the aerobic energy yield remained unchanged.
Conclusions - HH competition encourages participants to increase their performance. This occurs primarily via an increased anaerobic energy yield, which seems to be centrally mediated, and is consistent with the concept of a physiologic reserve.
119 citations
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TL;DR: Recruitment of 'hard to engage' individuals requires careful phrasing of the message to address gaps in their knowledge about physical activity and the principal barriers they perceive, and differential uptake across population subgroups could lead to a widening of health inequalities.
119 citations
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TL;DR: Common and disease-specific changes in free-living Macro and Micro gait highlight generic and selective targets for intervention depending on type of faller (OA-PD).
Abstract: Background - Falls are associated with gait impairments in older adults (OA) and Parkinson’s disease (PD). Current approaches for evaluating falls risk are based on self-report or one-time assessment and may be suboptimal. Wearable technology allows gait to be measured continuously in free-living conditions. The aim of this study was to explore generic and specific associations in free-living gait in fallers and nonfallers with and without PD.
Methods - Two hundred and seventy-seven fallers (155 PD, 122 OA) who fell twice or more in the previous 6 months and 65 nonfallers (15 PD, 50 OA) were tested. Free-living gait was characterized as the volume, pattern, and variability of ambulatory bouts (Macro), and 14 discrete gait characteristics (Micro). Macro and Micro variables were quantified from free-living data collected using an accelerometer positioned on the low back for one week.
Results - Macro variables showed that fallers walked with shorter and less variable ambulatory bouts than nonfallers, independent of pathology. Micro variables within ambulatory bouts showed fallers walked with slower, shorter and less variable steps than nonfallers. Significant interactions showed disease specific differences in variability with PD fallers demonstrating greater variability (step length) and OA fallers less variability (step velocity) than their nonfaller counterparts (p < 0.004).
Conclusions - Common and disease-specific changes in free-living Macro and Micro gait highlight generic and selective targets for intervention depending on type of faller (OA-PD). Our findings support free-living monitoring to enhance assessment. Future work is needed to confirm the optimal battery of measures, sensitivity to change and value for fall prediction.
119 citations
Authors
Showing all 5812 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peter Hall | 132 | 1640 | 85019 |
William J. Kraemer | 123 | 755 | 54774 |
Adrian Jenkins | 118 | 427 | 66331 |
Timothy D. Noakes | 110 | 701 | 39090 |
David R. Smith | 110 | 881 | 91683 |
Christopher P. Day | 101 | 304 | 43632 |
Mark Walker | 97 | 622 | 58554 |
Christopher D. Buckley | 88 | 440 | 25664 |
Simon C. Robson | 88 | 552 | 29808 |
Keith Wesnes | 83 | 344 | 19628 |
Tibor Hortobágyi | 79 | 455 | 22017 |
Ling Shao | 78 | 782 | 26293 |
Derek K. Jones | 76 | 375 | 33916 |
Alan Richardson | 76 | 363 | 19893 |
Andrew R. Gennery | 74 | 392 | 16621 |