scispace - formally typeset
Search or ask a question
Institution

Edith Cowan University

EducationPerth, 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 & Context (language use). The organization has 4040 authors who have published 13529 publications receiving 339582 citations. The organization is also known as: Edith Cowan & ECU.


Papers
More filters
Journal ArticleDOI
18 Apr 2021-Sensors
TL;DR: In this article, the authors proposed a computerized process of classifying skin disease through deep learning based MobileNet V2 and Long Short Term Memory (LSTM), which proved to be efficient with better accuracy that can work on lightweight computational devices.
Abstract: Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease through deep learning based MobileNet V2 and Long Short Term Memory (LSTM). The MobileNet V2 model proved to be efficient with a better accuracy that can work on lightweight computational devices. The proposed model is efficient in maintaining stateful information for precise predictions. A grey-level co-occurrence matrix is used for assessing the progress of diseased growth. The performance has been compared against other state-of-the-art models such as Fine-Tuned Neural Networks (FTNN), Convolutional Neural Network (CNN), Very Deep Convolutional Networks for Large-Scale Image Recognition developed by Visual Geometry Group (VGG), and convolutional neural network architecture that expanded with few changes. The HAM10000 dataset is used and the proposed method has outperformed other methods with more than 85% accuracy. Its robustness in recognizing the affected region much faster with almost 2× lesser computations than the conventional MobileNet model results in minimal computational efforts. Furthermore, a mobile application is designed for instant and proper action. It helps the patient and dermatologists identify the type of disease from the affected region's image at the initial stage of the skin disease. These findings suggest that the proposed system can help general practitioners efficiently and effectively diagnose skin conditions, thereby reducing further complications and morbidity.

251 citations

Journal Article
TL;DR: Delayed-onset muscle soreness was significantly less for the massage condition for peak soreness in extending the elbow joint and palpating the brachioradialis muscle, but no significant effects of massage on recovery of muscle strength and ROM were evident.
Abstract: CONTEXT Delayed-onset muscle soreness (DOMS) describes muscle pain and tenderness that typically develop several hours postexercise and consist of predominantly eccentric muscle actions, especially if the exercise is unfamiliar. Although DOMS is likely a symptom of eccentric-exercise-induced muscle damage, it does not necessarily reflect muscle damage. Some prophylactic or therapeutic modalities may be effective only for alleviating DOMS, whereas others may enhance recovery of muscle function without affecting DOMS. OBJECTIVE To test the hypothesis that massage applied after eccentric exercise would effectively alleviate DOMS without affecting muscle function. DESIGN We used an arm-to-arm comparison model with 2 independent variables (control and massage) and 6 dependent variables (maximal isometric and isokinetic voluntary strength, range of motion, upper arm circumference, plasma creatine kinase activity, and muscle soreness). A 2-way repeated-measures analysis of variance and paired t tests were used to examine differences in changes of the dependent variable over time (before, immediately and 30 minutes after exercise, and 1, 2, 3, 4, 7, 10, and 14 days postexercise) between control and massage conditions. SETTING University laboratory. PATIENTS OR OTHER PARTICIPANTS Ten healthy subjects (5 men and 5 women) with no history of upper arm injury and no experience in resistance training. INTERVENTION(S) Subjects performed 10 sets of 6 maximal isokinetic (90 degrees x s(-1)) eccentric actions of the elbow flexors with each arm on a dynamometer, separated by 2 weeks. One arm received 10 minutes of massage 3 hours after eccentric exercise; the contralateral arm received no treatment. MAIN OUTCOME MEASURE(S) Maximal voluntary isometric and isokinetic elbow flexor strength, range of motion, upper arm circumference, plasma creatine kinase activity, and muscle soreness. RESULTS Delayed-onset muscle soreness was significantly less for the massage condition for peak soreness in extending the elbow joint and palpating the brachioradialis muscle (P < .05). Soreness while flexing the elbow joint (P = .07) and palpating the brachialis muscle (P = .06) was also less with massage. Massage treatment had significant effects on plasma creatine kinase activity, with a significantly lower peak value at 4 days postexercise (P < .05), and upper arm circumference, with a significantly smaller increase than the control at 3 and 4 days postexercise (P < .05). However, no significant effects of massage on recovery of muscle strength and ROM were evident. CONCLUSIONS Massage was effective in alleviating DOMS by approximately 30% and reducing swelling, but it had no effects on muscle function.

251 citations

Journal ArticleDOI
TL;DR: Why differing methods of data collection and analysis can lead to conflicting results for maximum power and associated optimal load is examined.
Abstract: There has been an increasing volume of research focused on the load that elicits maximum power output during jump squats. Because of a lack of standardization for data collection and analysis protocols, results of much of this research are contradictory. The purpose of this paper is to examine why differing methods of data collection and analysis can lead to conflicting results for maximum power and associated optimal load. Six topics relevant to measurement and reporting of maximum power and optimal load are addressed: (a) data collection equipment, (b) inclusion or exclusion of body weight force in calculations of power, (c) free weight versus Smith machine jump squats, (d) reporting of average versus peak power, (e) reporting of load intensity, and (f) instructions given to athletes/ participants. Based on this information, a standardized protocol for data collection and reporting of jump squat power and optimal load is presented.

250 citations

Journal ArticleDOI
TL;DR: In this article, the cooling rate of melt pool induced discrepancy in microstructural gradient and element distribution during selective laser melting (SLM), thereby resulting in decrease in microhardness and wear resistance from surface to inside with a range of ∼100μm of SLM- manufactured AlSi10Mg alloy.

249 citations

Journal ArticleDOI
TL;DR: The GEOTRACES Intermediate Data Product 2017 (IDP2017) as discussed by the authors is the second publicly available data product of the international GEOTrACES programme, and contains data measured and quality controlled before the end of 2016.

249 citations


Authors

Showing all 4128 results

NameH-indexPapersCitations
Paul Jackson141137293464
William J. Kraemer12375554774
D. Allan Butterfield11550443528
Kerry S. Courneya11260849504
Robert U. Newton10975342527
Roger A. Barker10162039728
Ralph N. Martins9563035394
Wei Wang95354459660
David W. Dunstan9140337901
Peter E.D. Love9054624815
Andrew Jones8369528290
Hongqi Sun8126520354
Leon Flicker7946522669
Mark A. Jenkins7947221100
Josep M. Gasol7731322638
Network Information
Related Institutions (5)
RMIT University
82.9K papers, 1.7M citations

93% related

Monash University
100.6K papers, 3M citations

92% related

University of Queensland
155.7K papers, 5.7M citations

92% related

University of Melbourne
174.8K papers, 6.3M citations

90% related

University of Western Australia
87.4K papers, 3M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202350
2022156
20211,433
20201,372
20191,213
20181,023