Institution
Edith Cowan University
Education•Perth, Western Australia, Australia•
About: Edith Cowan University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Tourism. The organization has 4040 authors who have published 13529 publications receiving 339582 citations. The organization is also known as: Edith Cowan & ECU.
Topics: Population, Tourism, Isometric exercise, Higher education, Health care
Papers published on a yearly basis
Papers
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TL;DR: In this paper, an effective and sustainable approach for selective leaching of lithium from spent LiFePO4 batteries was demonstrated, and the results showed that high purity Li2CO3 (99.95 wt%) could be obtained with a high recovery rate.
204 citations
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TL;DR: In this paper, the authors present a community perspective on managing knowledge in project environments, focusing on reflection, participation, and learning in the context of cross functional teams, and making sense of learning landscapes in project-based organizations.
204 citations
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TL;DR: In this paper, the authors highlight some of the potential uses of VR within the tourism industry, but also address the realistic shortcomings of VR technology, to determine when and whether VR is likely to offer the potential it promises.
204 citations
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TL;DR: The reliability and validity outcomes suggest that a number of measurement systems and testing procedures can be implemented to accurately assess maximum strength and ballistic performance in recreational and elite athletes, alike, but the reader needs to be cognisant of the inherent differences between measurement systems.
Abstract: An athletic profile should encompass the physiological, biomechanical, anthropometric and performance measures pertinent to the athlete’s sport and discipline. The measurement systems and procedures used to create these profiles are constantly evolving and becoming more precise and practical. This is a review of strength and ballistic assessment methodologies used in sport, a critique of current maximum strength [one-repetition maximum (1RM) and isometric strength] and ballistic performance (bench throw and jump capabilities) assessments for the purpose of informing practitioners and evolving current assessment methodologies. The reliability of the various maximum strength and ballistic assessment methodologies were reported in the form of intra-class correlation coefficients (ICC) and coefficient of variation (%CV). Mean percent differences $$ \left( {M_{\text{diff}} = \left[ {\frac{{{\mid }X_{{{\text{method}}1}} - X_{{{\text{method}}2}} {\mid }}}{{(X_{{{\text{method}}1}} + X_{{{\text{method}}2}} )}}} \right] \times 100} \right) $$
and effect size (ES = [X
method2 − X
method1] ÷ SDmethod1) calculations were used to assess the magnitude and spread of methodological differences for a given performance measure of the included studies. Studies were grouped and compared according to their respective performance measure and movement pattern. The various measurement systems (e.g. force plates, position transducers, accelerometers, jump mats, optical motion sensors and jump-and-reach apparatuses) and assessment procedures (i.e. warm-up strategies, loading schemes and rest periods) currently used to assess maximum isometric squat and mid-thigh pull strength (ICC > 0.95; CV 0.91; CV 0.82; CV < 6.5 %) were deemed highly reliable. The measurement systems and assessment procedures employed to assess maximum isometric strength [M
Diff = 2–71 %; effect size (ES) = 0.13–4.37], 1RM strength (M
Diff = 1–58 %; ES = 0.01–5.43), vertical jump capabilities (M
Diff = 2–57 %; ES = 0.02–4.67) and bench throw capabilities (M
Diff = 7–27 %; ES = 0.49–2.77) varied greatly, producing trivial to very large effects on these respective measures. Recreational to highly trained athletes produced maximum isometric squat and mid-thigh pull forces of 1,000–4,000 N; and 1RM bench press, back squat and power clean values of 80–180 kg, 100–260 kg and 70–140 kg, respectively. Mean and peak power production across the various loads (body mass to 60 % 1RM) were between 300 and 1,500 W during the bench throw and between 1,500 and 9,000 W during the vertical jump. The large variations in maximum strength and power can be attributed to the wide range in physical characteristics between different sports and athletic disciplines, training and chronological age as well as the different measurement systems of the included studies. The reliability and validity outcomes suggest that a number of measurement systems and testing procedures can be implemented to accurately assess maximum strength and ballistic performance in recreational and elite athletes, alike. However, the reader needs to be cognisant of the inherent differences between measurement systems, as selection will inevitably affect the outcome measure. The strength and conditioning practitioner should also carefully consider the benefits and limitations of the different measurement systems, testing apparatuses, attachment sites, movement patterns (e.g. direction of movement, contraction type, depth), loading parameters (e.g. no load, single load, absolute load, relative load, incremental loading), warm-up strategies, inter-trial rest periods, dependent variables of interest (i.e. mean, peak and rate dependent variables) and data collection and processing techniques (i.e. sampling frequency, filtering and smoothing options).
204 citations
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TL;DR: Lower plasma Aβ1−42/1−40 and brain amyloid was observed in those reporting higher levels of physical activity, consistent with the hypothesis that physical activity may be involved in the modulation of pathogenic changes associated with AD.
Abstract: Previous studies suggest physical activity improves cognition and lowers Alzheimer's disease (AD) risk. However, key AD pathogenic factors that are thought to be influenced by physical activity, particularly plasma amyloid-β (Aβ) and Aβ brain load, have yet to be thoroughly investigated. The objective of this study was to determine if plasma Aβ and amyloid brain deposition are associated with physical activity levels, and whether these associations differed between carriers and non-carriers of the apolipoprotein E (APOE) e4 allele. Five-hundred and forty six cognitively intact participants (aged 60-95 years) from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing (AIBL) were included in these analyses. Habitual physical activity levels were measured using the International Physical Activity Questionnaire (IPAQ). Serum insulin, glucose, cholesterol and plasma Aβ levels were measured in fasting blood samples. A subgroup (n=116) underwent (11)C-Pittsburgh compound B (PiB) positron emission tomography (PET) scanning to quantify brain amyloid load. Higher levels of physical activity were associated with higher high density lipoprotein (HDL) (P=0.037), and lower insulin (P<0.001), triglycerides (P=0.019) and Aβ1-42/1-40 ratio (P=0.001). After stratification of the cohort based on APOE e4 allele carriage, it was evident that only non-carriers received the benefit of reduced plasma Aβ from physical activity. Conversely, lower levels of PiB SUVR (standardised uptake value ratio) were observed in higher exercising APOE e4 carriers. Lower plasma Aβ1-42/1-40 and brain amyloid was observed in those reporting higher levels of physical activity, consistent with the hypothesis that physical activity may be involved in the modulation of pathogenic changes associated with AD.
203 citations
Authors
Showing all 4128 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul Jackson | 141 | 1372 | 93464 |
William J. Kraemer | 123 | 755 | 54774 |
D. Allan Butterfield | 115 | 504 | 43528 |
Kerry S. Courneya | 112 | 608 | 49504 |
Robert U. Newton | 109 | 753 | 42527 |
Roger A. Barker | 101 | 620 | 39728 |
Ralph N. Martins | 95 | 630 | 35394 |
Wei Wang | 95 | 3544 | 59660 |
David W. Dunstan | 91 | 403 | 37901 |
Peter E.D. Love | 90 | 546 | 24815 |
Andrew Jones | 83 | 695 | 28290 |
Hongqi Sun | 81 | 265 | 20354 |
Leon Flicker | 79 | 465 | 22669 |
Mark A. Jenkins | 79 | 472 | 21100 |
Josep M. Gasol | 77 | 313 | 22638 |