Stress intensity factor threshold in dental porcelains

The stress intensity factor threshold (K(IO)) is related to the stress level at which cracks start to grow stably, causing the weakening of porcelain prostheses during their use. The values of K(IO) of seven dental porcelains (with and without reinforcing leucite crystal, KAlSi(2)O(6)) stored in air (22 degrees C, 60% relative humidity) and artificial saliva (37 degrees C) were determined by measuring the crack growth velocity of radial cracks generated at the corner of Vickers indentations. The results of K(IO) were correlated with the leucite content, fracture toughness (K(Ic)), and chemical composition of the porcelains. It was observed that K(IO) increased with the increase of leucite content (only for the leucite-based porcelains) and with the increase of K(Ic). The increase in Al(2)O(3) content or the decrease in the alkali oxide (K(2)O and Na(2)O) content of the material`s glassy matrix tended to increase the K(IO) values. Storage media (air and saliva) did not significantly affect the K(IO) of porcelains tested, indicating that the control parameter of K(IO) value was not the water content of the storage media.

Understanding and enhancing research-policy linkages in Australian housing: A discussion paper

This project aimed to develop a systematic framework for understanding the relationship between social science research and public policy, and to build more effective linkages between social researchers and policy practitioners in the Australian housing system, particularly through AHURI. The project is explicitly applied and solution-focused. It was undertaken in close collaboration with AHURI and has contributed to AHURI's overall mission and strategy to enhancing research-based housing policy. It provided an opportunity for the AHURI policy community to engage in a process of action-oriented, self-reflection around its core business of applied housing policy research.

Economic incentives for global conservation of wildlife: New international policy directions

Growing economic globalisation by extending the operation of markets is a two-edged sword as far as nature conservation is concerned. In some circumstances, it threatens the conservation of nature and in other cases, it provides economic incentives that foster the conservation of biodiversity. This article shows how global policy directions have altered in that regard. Initially the World Conservation Union (IUCN) favoured bans on trade in endangered species. This view was enshrined in the Convention on International Trade in Endangered Species (CITES). Subsequently, with the upsurge of support for market-based economic liberalism, IUCN recognised that economic and market incentives, if linked to appropriate property rights, could foster biodiversity conservation. This is reflected in the International Convention on Biological Diversity. While there is conflict between this convention and CITES, its extent has been exaggerated. As explained, in certain cases, trade restrictions of the type adopted in CITES are appropriate for nature conservation whereas the market-oriented policy of the Convention on Biological Diversity can be effective in some different situations. Whether or not the extension of markets in wildlife and wildlife products and growing economic globalisation favours nature conservation varies according to the circumstances.

Modelling basin level allocation of water in the Murray-Darling Basin in a world of uncertainty, Murray-Darling Program Working Papers WPM05-1, Risk and Sustainable Management Group, 8 February 2005

Abstract: The Murray-Darling Basin comprises over 1 million km2; it lies within four states and one territory; and over 12, 800 GL of irrigation water is used to produce over 40% of the nation's gross value of agricultural production. This production is used by a diverse collection of some-times mutually exclusive commodities (e.g. pasture; stone fruit; grapes; cotton and field crops). The supply of water for irrigation is subject to climatic and policy uncertainty. Variable inflows mean that water property rights do not provide a guaranteed supply. With increasing public scrutiny and environmental issues facing irrigators, greater pressure is being placed on this finite resource. The uncertainty of the water supply, water quality (salinity), combined with where water is utilised, while attempting to maximising return for investment makes for an interesting research field. The utilisation and comparison of a GAMS and Excel based modelling approach has been used to ask: where should we allocate water?; amongst what commodities?; and how does this affect both the quantity of water and the quality of water along the Murray-Darling river system?

Enhancing research-policy linkages in Australian housing: an options paper

A key ingredient in the successful delivery of a policy relevant research program is a process of engagement between the research and policy communities, centred on the conduct, dissemination and use of research. The research recommends that AHURI continue to build and extend its 'engagement strategy' to further realise the benefits of a research program relevant to policy.

The composite Euler method for stiff stochastic differential equations

In this paper we present the composite Euler method for the strong solution of stochastic differential equations driven by d-dimensional Wiener processes. This method is a combination of the semi-implicit Euler method and the implicit Euler method. At each step either the semi-implicit Euler method or the implicit Euler method is used in order to obtain better stability properties. We give criteria for selecting the semi-implicit Euler method or the implicit Euler method. For the linear test equation, the convergence properties of the composite Euler method depend on the criteria for selecting the methods. Numerical results suggest that the convergence properties of the composite Euler method applied to nonlinear SDEs is the same as those applied to linear equations. The stability properties of the composite Euler method are shown to be far superior to those of the Euler methods, and numerical results show that the composite Euler method is a very promising method. (C) 2001 Elsevier Science B.V. All rights reserved.

The impact of stress and anxiety on the pressure pain threshold of myofascial pain patients

The purpose of this study was to evaluate the influence of stress and anxiety on the pressure pain threshold (PPT) of masticatory muscles and on the subjective pain report. Forty-five women, students, with mean age of 19.75 years, were divided into two groups: group 1:29 presenting with masticatory myofascial pain (MFP), according to the Research Diagnostic Criteria for Temporomandibular Disorders and group 2: 16 asymptomatic controls. An electronic algometer registered the pain thresholds on four different occasions throughout the academic year. To measure levels of stress, anxiety and pain, the Beck Anxiety Inventory, Lipp Stress Symptoms Inventory and Visual Analog Scale (VAS) were used. Three-way anova and Tukey`s tests were used to verify differences in PPT between groups, times and sites. Levels of anxiety and VAS were compared using Mann-Whitney test, while Friedman`s test was used for the within-groups comparison at different times (T1 to T4). The chi-squared and Cochran tests were performed to compare groups for the proportion of subjects with stress (alpha = 0.05). Differences in PPT recordings between time (P = 0.001) and sites (P < 0.001) were detected. Higher levels of anxiety and lower PPT figures were detected at T2 (academic examination) (P = 0.001). There was no difference between groups for anxiety and stress at any time (P > 0.05). The MFP group also has shown significant increase of VAS at the time of academic examination (P < 0.001). External stressors such as academic examinations have a potential impact on masticatory muscle tenderness, regardless of the presence of a previous condition such as masticatory myofascial pain.

Robust parameter settings of evolutionary algorithms for the optimisation of agricultural systems models

Numerical optimisation methods are being more commonly applied to agricultural systems models, to identify the most profitable management strategies. The available optimisation algorithms are reviewed and compared, with literature and our studies identifying evolutionary algorithms (including genetic algorithms) as superior in this regard to simulated annealing, tabu search, hill-climbing, and direct-search methods. Results of a complex beef property optimisation, using a real-value genetic algorithm, are presented. The relative contributions of the range of operational options and parameters of this method are discussed, and general recommendations listed to assist practitioners applying evolutionary algorithms to the solution of agricultural systems. (C) 2001 Elsevier Science Ltd. All rights reserved.