138,466 research outputs found
Letter from D. M. Clements to S. B. Simmons
No full textLetter from D. M. Clements to S. B. Simmons, concerning FFA and NFA alumni
Spatial heterogeneity of parasite co-infection: Determinants and geostatistical prediction at regional scales.
No full textMultiple parasite infections are widespread in the developing world and understanding their geographical distribution is important for spatial targeting of differing intervention packages. We investigated the spatial epidemiology of mono- and co-infection with helminth parasites in East Africa and developed a geostatistical model to predict infection risk. The data used for the analysis were taken from standardised school surveys of Schistosoma mansoni and hookworm (Ancylostoma duodenale/Necator americanus) carried out between 1999 and 2005 in East Africa. Prevalence of mono- and co-infection was modelled using satellite-derived environmental and demographic variables as potential predictors. A Bayesian multi-nominal geostatistical model was developed for each infection category for producing maps of predicted co-infection risk. We show that heterogeneities in co-infection with S. mansoni and hookworm are influenced primarily by the distribution of S. mansoni, rather than the distribution of hookworm, and that temperature, elevation and distance to large water bodies are reliable predictors of the spatial large-scale distribution of co-infection. On the basis of these results, we developed a validated geostatistical model of the distribution of co-infection at a scale that is relevant for planning regional disease control efforts that simultaneously target multiple parasite species
A boundary element method for the solution of a class of steady-state problems for anisotropic media
No full textD. L. Clements and W. S. Budh
Dr Barrett, Collins Street, Melbourne.
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/202790Dr Barrett's professional chambers, Collins Street, Melbourne. Built in 1905 and designed by Nahum Barnet, Architect. Various signs can be seen on building front listing building's occupants: Dr Ray Tovell (American dentist), Llewellyn Jones (Masseur), Miss B. Lamble (Ladies Toilet and Hairdressers Salon), D. H. W. Bryan, Dr. A. R. Bain (Dentist), Dr. T. P. Dunhill, Dr. J. W. Barr (Ear, Eye and Throat), F. Orbs and O'Clendinnen. Built by master builders, Clements Langford Pty. Ltd. Company was originally established as Langford's small Richmond business around 1881, it became incorporated in 1923 and grew into one of Melbourne's largest building firms
Inscription: Name, date and architect of building written in white beneath the photograph.202320
Item: [1960.0003.00020] "Dr Barrett, Collins Street, Melbourne.
Periodic morphing of a NACA6409 aerofoil in ground effect, its wake mechanisms and thrust generation
No full textThe camber morphing of an aerofoil in ground effect was investigated using the FishBAC method and Detached Eddy Simulations with the k-omega SST turbulence model at a Reynolds number of 320,000. The aerofoil was periodically morphed at a start location of 25% chord from the leading edge with a trailing edge deflection range of 0.1% to 3% and morphing frequencies between a Strouhal number of 0.45 to 4 at a constant ground clearance of 10%. Periodically morphing the aerofoil using a sinusoidal function showed that lift and drag increased on the downstroke and decreased on the upstroke in the cycle, resulting in periodic values of lift and drag throughout the cycle. The amplitude of lift and drag increased as the morphing frequency and/or trailing edge deflection increased. It was found that the wake characteristics varied as a function of trailing edge deflection and morphing frequency. For small trailing edge deflections below 0.4% and frequencies below a 2.2 Strouhal number, Kelvin Helmholtz shedding was observed, and above this the wake became chaotic. Large trailing edge deflections showed Von-Karman shedding, where the interaction between the lower counter-clockwise vortex and the ground plane resulted in a jet-like flow that caused forward thrust. For the maximum deflection and morphing frequency tested in this study, reversed Von-Karman shedding was observed, which caused forward thrust from the interaction of the two-shedding counter-rotating vortices. Von-Karman or reversed Von-Karman shedding shows positive thrust generation, however, chaotic shedding should be avoided due to large drag gains. Varying the Reynolds number caused the Strouhal number to change as they depend on the same variables. It was found that the Strouhal number variation had a large effect on the wake, however, the Reynolds number had a minimal effect
Knee extensor strength measured using a Biodex dynamometer and an adapted hand held dynamometer
No full textBackground: Muscle strength is widely used as an outcome measure in rehabilitation and kneeextensor strength is an important determinant of physical function. Hand held dynamometry (HHD) isportable and easy to use; however, reliability of HHD measurements is significantly influenced by thestrength of the tester. The present study assessed the agreement between an adapted HHD and Biodex dynamometry while measuring knee extensor strength in young adults.Method: Thirty participants aged 22–35 years (mean age 24.4 years; SD ± 2.5) were studied. Peakisometric knee extensor strength of the dominant leg was measured using the Biodex dynamometerand adapted HHD. The agreement between the maximum voluntary contractions (MVC) was analysed using Pearson’s Correlation Coefficient, intraclass correlation (ICC) and Bland–Altman analysis.Results: The mean peak knee extensor MVC was 191.7 Nm (± 53.6) for the Biodex dynamometer and167.5 Nm (± 55) for the adapted HHD. The mean difference in peak knee extensor strength measuredusing the adapted HHD was 24.1 Nm (± 30.3) lower when compared to the Biodex. However, therewas good correlation between the two measures (r=0.796, ICC (3, 1): peak torque=0.796; average ofthree trials=0.808) and Bland–Altman plots confirmed good agreement.Conclusions: The knee strength measurements were not influenced by examiner strength and resultsobtained using the adapted HDD were comparable to that using the Biodex; however, the absoluteknee extensor strength obtained using the adapted HHD was generally lower.<br/
N/D
No full textOne letter, one page.One letter to James Dinwiddie from Richard Clements, date unknown
Pooling of Forecasts
No full textWe consider forecasting using a combination, when no model coincides with a non-constant data generation process (DGP). Practical experience suggests that combining forecasts adds value, and can even dominate the best individual device. We show why this can occur when forecasting models are differentially mis-specified, and is likely to occur when the DGP is subject to deterministic shifts. Moreover, averaging may then dominate over estimated weights in the combination. Finally, it cannot be proved that only non-encompassed devices should be retained in the combination. Empirical and Monte Carlo illustrations confirm the analysis.
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