62353 research outputs found
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Print and online media articles, books and interviews highlighting research carried out by Dr Suzy Munns
No full textOnline media, searched 3 July 2014 (see related URLs links below):
Luntz, Stephen. (2012, May). Crocodile hearts get treadmill workout. Australasian Science, 33(4), p. 14. Retrieved from: http://www.australasianscience.com.au/article/issue-may-2012/browse-briefs.html
(2012, February 24). Crocodiles don't need pump to breathe. Science alert. Retrieved from: http://www.sciencealert.com.au/news/20122302-23154.html
(2012, February 24). Crocodiles rock the treadmill for research. Phys.org. Retrieved from: http://phys.org/news/2012-02-crocodiles-treadmill.html
Williams, Brian. (2008, September 10). Research into rare bum-breathing turtles. Courier-Mail.
Retrieved from: http://www.couriermail.com.au/news/threat-to-rare-bum-breathers/story-e6frep26-1111117438608?nk=f0e1307e534478e38cc3c7e7e003317e
(2008, September 8). Steve Irwin's bum-breathing turtle facing extinction. The Epoch Times. Retrieved from: http://www.theepochtimes.com/n2/australia/steve-irwins-bum-breathing-turtle-facing-extinction-3955.html
Print media, retrieved July 3, 2014 from NewsBank on-line database (Access World News):
Bateman, D. (2012, February 23). JCU experiment to establish how reptiles breathe - Crocs on treadmill.Townsville Bulletin (Australia) (1 ed.), 007.
(2008, September 10). Getting to the bottom of turtles future.Bowen Independent (Australia) (1 ed.), 007.
Williams, B. (2008, September 10). End game for rare bum breathers. Courier Mail, The (Brisbane, Australia) (1 - First with the news ed.), 019.
Bateman, D. (2007, February 10). JCU scientist tracks breeding habits of stumpy lizards in desert Lesson to learn from nature. Townsville Bulletin (Australia) (1 ed.), 020
Steene, Mark (2001, September 25). The tail of a lung disease lifeline.Advertiser, The (Adelaide, Australia) (2 - METRO ed.), 023.
Steene, Mark (2001, September 25). Pregnant pause that may save lives.Advertiser, The (Adelaide, Australia) (1 - STATE ed.), 023.
(2001, September 25). No rest for lizards in labour of love. MX (Melbourne, Australia) (1 - Melbourne ed.), 012.
(2001, September 6). Dr Munns with a mother and a newborn baby stumpy tail..Canberra Times, The (Australia) P11.
(2001, June 5). Plenty of pride in work. Leader - Sunbury (1 - SRV ed.), 014.
Books:
Brynie, Faith Hickman (2006). 101 Questions About Reproduction: Or How 1 + 1 = 3 or 4 or More. Minneapolis, Minn.: Twenty-First Century Books, p. 32.
Retrieved from: http://books.google.com.au/books?id=YJKXAgAAQBAJ&pg=PA32&dq=suzy+munns&hl=en&sa=X&ei=uav-U_-ZKIvGuATh3YGYAQ&redir_esc=y#v=onepage&q=suzy%20munns&f=false
Radio interviews:
(2012, February 23). Crocs on treadmills. Radio National Drive Program, Australian Broadcasting Corporation.
Audio download available from: http://www.abc.net.au/radionational/programs/drive/crocs-on-treadmills/384891
Bone Age Measurement-Based on Dental Radiography, Employing a New Model
No full textBone age measurement is a process for evaluating skeletal maturity levels to estimate one’s actual age. This evaluation is generally done by contrasting the radiographic image of one’s wrist or dentition with an existing uniform map, which contains a series of age-recognized images at any point of its development. Manual methods are based on the analysis of specific areas of hand bone images or dental structures. Both approaches are vulnerable to observer uncertainty and are time-consuming, so this approach is a subjective approximation of age. As a result, an automated model is needed to estimate one’s age accurately. This framework aims to develop a new Fatemeh Ghazal Sharifonnasabi (FGS) model for accurate measurement of bone age (± 1 year) or less than that with dental radiography. This study will use a new image processing technique, which involves creating a histogram of dental orthopantomogram (OPG) X-rays. In the machine, learning classification can be grouped as the training and testing phase. The training phase is used to extract all the images’ features for the classification model. The convolutional neural network (CNN) and K-nearest neighbour (KNN) classifications are ideal for this problem, based on the available literature
Unpacking Repeat Tourist Experience Through Multi-method Blog Analysis: A novel assessment using the Orchestra Model
No full textThis study makes a unique methodological contribution in investigating the distinctive elements of repeat tourists’ experiences. It employs the netnography technique examining the blogs written by repeat travellers to India. The blogs were analysed with the help of multi-method approach involving content analysis and sentiment analysis. The results emphasised the relative importance of different aspects of experience and established that the cognitive aspects were the most important element of repeat tourist experiences followed by behavioural and then sensory elements. The findings suggest that different aspects of experience contribute to special tourists experience of repeat visits