39 resultados para Zinc industry and trade


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This thesis reports on a quantitative exposure assessment and on an analysis of the attributes of the data used in the estimations, in particular distinguishing between its uncertainty and variability. A retrospective assessment of exposure to benzene was carried out for a case control study of leukaemia in the Australian petroleum industry. The study used the mean of personal task-based measurements (Base Estimates) in a deterministic algorithm and applied factors to model back to places, times etc for which no exposure measurements were available. Mean daily exposures were estimated, on an individual subject basis, by summing the task-based exposures. These mean exposures were multiplied by the years spent on each job to provide exposure estimates in ppm-years. These were summed to provide a Cumulative Estimate for each subject. Validation was completed for the model and key inputs. Exposures were low, most jobs were below TWA of 5 ppm benzene. Exposures in terminals were generally higher than at refineries. Cumulative Estimates ranged from 0.005 to 50.9 ppm-years, with 84 percent less than 10 ppm-years. Exposure probability distributions were developed for tanker drivers using Monte Carlo simulation of the exposure estimation algorithm. The outcome was a lognormal distribution of exposure for each driver. These provide the basis for alternative risk assessment metrics e.g. the frequency of short but intense exposures which provided only a minimal contribution to the long-term average exposure but may increase risk of leukaemia. The effect of different inputs to the model were examined and their significance assessed using Monte Carlo simulation. The Base Estimates were the most important determinant of exposure in the model. The sources of variability in the measured data were examined, including the effect of having censored data and the between and within-worker variability. The sources of uncertainty in the exposure estimates were analysed and consequential improvements in exposure assessment identified. Monte Carlo sampling was also used to examine the uncertainties and variability associated with the tanker drivers' exposure assessment, to derive an estimate of the range and to put confidence intervals on the daily mean exposures. The identified uncertainty was less than the variability associated with the estimates. The traditional approach to exposure estimation typically derives only point estimates of mean exposure. The approach developed here allows a range of exposure estimates to be made and provides a more flexible and improved basis for risk assessment.

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An Australian automotive component company plans to assemble and deliver seats to a car manufacturer on a "just-in-time" basis at its new plant. The research objective was to model seat assembly operations and apply Toyota goal chasing algorithm and user defined algorithm to balance workload among all the assembly workstations and areas.

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Biosolids were used to remove zinc, manganese and cyanide from mining wastewaters. The effect of aqueous parameters and reaction variables on contaminant biosorption was quantified. The mechanism of removal was adsorption onto amine and carboxyl functional groups. Immobilisation was investigated to overcome problems of swelling and disintegration of the biosolids.

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This investigation emphasises the significant role socio-cultural considerations play in Australia's education sector initiatives in the Middle East, and the direct impact this has on wider Australian-Middle Eastern trade and strategic relations. In order to enhance these relations, there is an urgent need for Australia to develop a more sophisticated policy of engagement that moves away from historical and contemporary misconceptions.

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A central issue of this thesis has been an examination of the effects that the current wool crisis has had on the Balmoral district, an area almost solely devoted to the production of wool and wool sheep. Examines the methods being utilised to try to alleviate some of these effects.

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Aims: To examine the relationship between direct alcohol and non-alcohol sponsorship and drinking in Australian sportspeople.
Methods: Australian sportspeople (N = 652; 51% female) completed questionnaires on alcohol and non-alcohol industry sponsorship (from bars, cafes etc.), drinking behaviour (Alcohol Use Disorders Identification Test (AUDIT)) and known confounders.
Results: 31% reported sponsorship (29.8% alcohol industry; 3.7% both alcohol and non-alcohol industry and 1.5% non-alcohol industry only) Multivariate regression showed that receipt of alcohol industry sponsorship was predictive of higher AUDIT scores (βadj = 1.67, 95% confidence interval (CI ): 0.56–2.78), but non-alcohol industry sponsorship and combinations of both were not (βadj = 0.18, 95% CI: −2.61 to 2.68; and βadj = 2.58, 95% CI: −0.60 to 5.76, respectively).
Conclusion: Governments should consider alternatives to alcohol industry sponsorship of sport. Hypothecated taxes on tobacco have been used successfully for replacing tobacco sponsorship of sport in some countries, and may show equal utility for the alcohol industry’s funding of sport.

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The ICT disciplines in Australian universities have a strong tradition of industry engagement in curriculum design and implementation particularly through work integrated learning programs. Work integrated learning (WIL) includes industry placements, internships, industry projects and other methods and approaches that aim to enhance the professional practice capabilities of students. There are various stakeholders involved in WIL programs including universities, students, government and industry, each with their own motivations and expectations. Whilst all stakeholders agree on the benefits to students, there are conflicting interests that jeopardise further development and innovation in WIL. This paper reports on surveys of industry and university stakeholders in order to understand representative views and current practices. The findings confirm a lack of a shared understanding between stakeholders regarding roles, responsibilities, models and benefits. The paper concludes with several recommendations regarding the adoption of an outcomes-based approach to the design and implementation of work integrated learning programs that will encourage innovation and quality in WIL.

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Pharmaceutical policy in India as elsewhere is shaped by conflicting economic and social interests and opposing values and priorities. Tensions can be understood as revolving around the contradiction between use value and exchange value in the production of medicinal drugs as commodities, as per Marx’s original analysis. The use value of medicines – if safe and efficacious, of good quality, and prescribed and consumed appropriately – is the prevention, cure or alleviation of ill-health and disease. Health policy is – or should be – aimed at optimising the use value of medicines. For this purpose government agencies administer regulatory oversight of the manufacturing, marketing and distribution of medicines. Drugs made available to patients are expected to meet adequate safety, quality and efficacy standards, but regulation to ensure such standards is subject to controversy in most countries. This is a domain where definition and interpretation of scientific-technological principles and criteria is infused by partiality and bias grounded in social and material interests, as evidenced by recurrent debates about industry ‘capture’ of regulatory agencies, including the world’s most regulator, the US Food and Drug Administration (Angell 2005; Law 2006). In India, a Parliamentary Committee Report in 2012 depicted the Central Drugs Standard Control Organisation (CDSCO) as dysfunctional and influenced inappropriately by the exchange value perspective of manufacturers (Parliamentary Standing Committee on Health and Welfare 2012). The clash between use and exchange value perspectives is starkly illustrated by cases of products known to cause more harm than good, particularly common in poorly regulated markets such as India’s, as shown by Srinivasan & Phadke.