33 resultados para Triple-helix

em Deakin Research Online - Australia


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The objective of this study was to investigate the quantity and quality of voluntary environmental disclosures in the annual reports of firms listed by market capitalisation on the Australian Stock Exchange. The periods examined were those immediately prior and subsequent to the release of the Exposure Draft Coalition for Environmentally Responsible Economics (CERES) Global Reporting Initiatives (GRI) issued in March 1999. Using content analysis to focus on the environmental aspects, the study compared 425 annual reports over a two-year period and 60 environmental reports, in order to explore reporting practices in the periods surrounding this intervention. The results suggest a trend to triple-bottom reporting, and a significant change in the quality and quantity of environmental information, albeit in specific categories.

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This theoretical study explores the links between the Triple Bottom Line (TBL) concept and the principles of HIA and considers the potential role of HIA to provide a mechanism for integrating health concerns within a broader agenda of government and business. TBL is a framework linked to the broader sustainability agenda that underpins and reviews environmental, economic and social performance of organizations. In its simplest form, TBL acts as a tool for reporting to stakeholders/shareholders organizational performance and the nature of the impacts on the community. The links to HIA are clear as both seek to determine the impact (potential and actual) on the health and well-being of the population.

The study found that TBL can operate at four levels within organizations ranging from reporting through to full integration with the organization's goals and practices. Health is narrowly defined and there are tensions about how to undertake the social accountability functions. The study shows the potential role for HIA within the broader policy and accountability agenda. As health is one of the main outcomes of an organization's activities it needs to be taken into account at all levels of activity.


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This objective of this study was to investigate the quantity and quality of voluntary environmental disclosures in the annual reports of the top 500 firms listed by market capitalisation on the Australian Stock Exchange. The periods examined were those immediately prior and subsequent to the release of the Exposure Draft Coalition for Environmentally Responsible Economics (CERES) Global Reporting Initiatives(GRI) issued in March 1999. Using content analysis to focus on the environmental aspects, and drawing heavily on the research of Gamble et al (1995), the study compared 425 annual reports over a two year period and 60 environmental reports, in order to explore reporting practices in the periods surrounding this intervention. The results suggest a trend to triple bottom reporting, and a significant change in the quality and quantity of environmental information, albeit in specific categories.

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Background & Aims: Direct comparisons of bismuth and proton pump inhibitor (PPI)-based triple and quadruple therapies for Helicobacter pylori eradication are lacking. To address this, a randomized study was conducted.Methods: Infected dyspeptic patients received pantoprazole 40 mg, amoxicillin 1000 mg, and clarithromycin 500 mg, all twice daily, for 7 days (PAC7); or pantoprazole 40 mg twice daily, bismuth subcitrate 108 mg, and tetracycline 500 mg, both 4 times daily, and metronidazole 200 mg 3 times daily and 400 mg at night for 7 days (PBTM7); bismuth subcitrate 108 mg and tetracycline 500 mg, both 4 times daily, and metronidazole 200 mg 3 times daily and 400 mg at night for 14 days (BTM14). Outcome was assessed with 13C-urea breath test.Results: Eradication rates (intention to treat [n = 405]/per protocol [n = 320]) were similar for PAC7 (78%/82%) and PBTM7 (82%/88%); the latter significantly superior to BTM14 (69%/74%; P < 0.01). Pretreatment metronidazole resistance (MR) was 53% and clarithromycin resistance was 8%. Eradication rates for primary metronidazole sensitive/resistant isolates were 74%/87% with PAC7 and 80%/81% for PBTM7, compared with 76%/55% (P < 0.02) for BTM14. Noncompliance was greater with BTM14 (15%; P < 0.001) than PAC7 (3%) or PBTM7 (6%). Moderate-severe adverse events were more common with BTM14 (45%; P < 0.001), than PAC7 (23%) or PBTM7 (25%) with more discontinuations (9%, 2%, 3%, respectively).Conclusions: One-week PPI triple therapy is well tolerated and effective. The addition of PPI to bismuth triple therapy allows reduction of treatment duration with improved efficacy and tolerability, despite a high rate of MR. Quadruple therapy appears to overcome pretreatment MR in most cases. Two-week bismuth triple therapy is significantly inferior to quadruple therapy and less well tolerated than both 1-week therapies.

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Objective: The aim of the present study was to investigate the economic case for the implementation of the Triple P-Positive Parenting Program on a population basis in Queensland, Australia, in order to reduce the prevalence of conduct disorder in children. Method: Threshold analysis was undertaken together with a limited cost-effectiveness analysis. Results: The Triple P-Positive Parenting Program is a dominant intervention; that is, it costs less than the amount it saves, until the reduction in prevalence falls below 7% where net costs become positive. Conclusions: Triple P is likely to be a worthwhile use of limited health funds. The economic case is promising, but further research is required to confirm the study results.

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The Intergovernmental Panel on Climate Change warnings regarding the detrimental effects of carbon dioxide emissions and global warming have gained acceptance amongst many governments (IPCC 2001). The UK government has agreed to reduce emissions, implement a package of enabling measures (UKCCP 2000) and issued an Energy White Paper (HMSO 2003) calling for a diversification of energy supply policies which will include renewable sources.

Housing accounts for approximately 25% of UK CO2 emissions and as providers of social housing, Registered Social Landlords (RSLs) and their tenants are major contributors. RSLs are deliverers of national policy in several areas and contribute to the attainment of governmental environmental, social and economic targets and impact upon the wider demands of housing policy, healthcare, education and law & order (DETR 1999, Cole and Shayer 1998).

Photovoltaic (PV) electricity generation could deliver “free” electricity to the low income households historically housed by RSLs. PV helps address such issues as fuel poverty and could be used as a stimulus for creating interest in areas of low demand for social housing.

RSLs provide housing solutions which cross traditional economic, social and environmental divides and this lends their modus operandi to the concept of the triple bottom line. The triple bottom line enables social and environmental aspects to be considered alongside economic considerations within decision-making frameworks (Elkington 1999, Andreason 1995).

Using a qualitative research methodology, this paper assesses current commercial viability of PV installations on RSL developments and identifies key barriers to implementation. The paper also investigates whether the application of the triple bottom line can liberate RSLs from viewing PV as a non-viable option by enabling a greater emphasis to be placed on the social & environmental aspects of PV. The paper considers whether a framework for RSLs to improve their decision-making processes by embracing social & environmental factors is feasible.

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This paper presents a triple-random ensemble learning method for handling multi-label classification problems. The proposed method integrates and develops the concepts of random subspace, bagging and random k-label sets ensemble learning methods to form an approach to classify multi-label data. It applies the random subspace method to feature space, label space as well as instance space. The devised subsets selection procedure is executed iteratively. Each multi-label classifier is trained using the randomly selected subsets. At the end of the iteration, optimal parameters are selected and the ensemble MLC classifiers are constructed. The proposed method is implemented and its performance compared against that of popular multi-label classification methods. The experimental results reveal that the proposed method outperforms the examined counterparts in most occasions when tested on six small to larger multi-label datasets from different domains. This demonstrates that the developed method possesses general applicability for various multi-label classification problems.