Lexical decision in Parkinson's disease: A reply to Brown, McDonald, and Spicer (1999)

Recent semantic priming investigations in Parkinsons disease (PD) employed variants of Neelys (1977) lexical decision paradigm to dissociate the automatic and attentional aspects of semantic activation (McDonald, Brown, Gorell, 1996; Spicer, Brown, Gorell, 1994). In our earlier review, we claimed that the results of Spicer, McDonald and colleagues normal control participants violated the two-process model of information processing (Posner Snyder, 1975) upon which their experimental paradigm had been based (Arnott Chenery, 1999). We argued that, even at the shortest SOA employed, key design modifications to Neelys original experiments biased the tasks employed by Spicer et al. and McDonald et al. towards being assessments of attention-dependent processes. Accordingly, we contended that experimental procedures did not speak to issues of automaticity and, therefore, Spicer, McDonald and colleagues claims of robust automatic semantic activation in PD must be treated with caution.

Steepness and deepness in the Australian macroeconomy

This study uses nonparametric tests - the triples test and the BDS test, to examine whether key Australian macroeconomic aggregates exhibit nonlinearities and important 'steepness' and 'deepness' asymmetries at the business cycle frequency. Evidence is found of nonlinearities but there is little evidence of deepness in the Australian macroeconomy. However, there is evidence of steepness, especially concerning labour market variables, as well as both the CPI and M3. The evidence suggests that unemployment (employment) rises (falls) rapidly in recessions and only recovers slowly over time. Also, positive asymmetries in M3 are reflected in similar asymmetries in the CPI but not in output, consumption or investment.

Postmaterialist and economic voting in Australia, 1990-98

Recent research in Australian sociology and political science has debated the extent to which postmaterialist values and economic self-interest shape voting in federal elections. Some researchers have argued that postmaterialist values have partly displaced materialist concerns with physical security and economic well-being in Australian public life. This displacement, coupled with the adoption by major political parties of postmaterialist 'quality of life' issues such as the environment, has meant that voting in Australia has come to be more dependent on postmaterialist values than on perceptions of economic interest. Other research, however, has found no relationship between postmaterialist values and voting behaviour, while economic evaluations remain a strong determinant of voting behaviour. Part of the disagreement reflects methodological differences in the research. But different methodological problems compromise each of the previous studies. In this paper we use data from the 1990, 1993, 1996 and 1998 Australian Election Studies to investigate postmaterialist and economic voting in the Commonwealth House of Representatives and the Senate. Using various statistical methods, we first explore bivariate relationships between key variables and then use multivariate models of postmaterialist and economic voting to adjudicate between the contending positions.

Healthy ageing - Adults with intellectual disabilities: Physical health issues

This report has been prepared by the Ageing Special Interest Research Group of the International Association for the Scientific Study of Intellectual Disabilities (IASSID) in collaboration with the Department of Mental Health and Substance Dependence and the Programme on Ageing and Health, World Health Organization (WHO), Geneva, Switzerland, and all rights are reserved by the above mentioned organization. The document may, however, be freely reviewed, abstracted, reproduced or translated in part, but not for sale or use in conjunction with commercial purposes. It may also be reproduced in full by non-commercial entities for information or for educational purposes with prior permission from WHO/IASSID. The document is likely to be available in other languages also.

Advances in application of climate prediction in agriculture

Agricultural ecosystems and their associated business and government systems are diverse and varied. They range from farms, to input supply businesses, to marketing and government policy systems, among others. These systems are dynamic and responsive to fluctuations in climate. Skill in climate prediction offers considerable opportunities to managers via its potential to realise system improvements (i.e. increased food production and profit and/or reduced risks). Realising these opportunities, however, is not straightforward as the forecasting skill is imperfect and approaches to applying the existing skill to management issues have not been developed and tested extensively. While there has been much written about impacts of climate variability, there has been relatively little done in relation to applying knowledge of climate predictions to modify actions ahead of likely impacts. However, a considerable body of effort in various parts of the world is now being focused on this issue of applying climate predictions to improve agricultural systems. In this paper, we outline the basis for climate prediction, with emphasis on the El Nino-Southern Oscillation phenomenon, and catalogue experiences at field, national and global scales in applying climate predictions to agriculture. These diverse experiences are synthesised to derive general lessons about approaches to applying climate prediction in agriculture. The case studies have been selected to represent a diversity of agricultural systems and scales of operation. They also represent the on-going activities of some of the key research and development groups in this field around the world. The case studies include applications at field/farm scale to dryland cropping systems in Australia, Zimbabwe, and Argentina. This spectrum covers resource-rich and resource-poor farming with motivations ranging from profit to food security. At national and global scale we consider possible applications of climate prediction in commodity forecasting (wheat in Australia) and examine implications on global wheat trade and price associated with global consequences of climate prediction. In cataloguing these experiences we note some general lessons. Foremost is the value of an interdisciplinary systems approach in connecting disciplinary Knowledge in a manner most suited to decision-makers. This approach often includes scenario analysis based oil simulation with credible models as a key aspect of the learning process. Interaction among researchers, analysts and decision-makers is vital in the development of effective applications all of the players learn. Issues associated with balance between information demand and supply as well as appreciation of awareness limitations of decision-makers, analysts, and scientists are highlighted. It is argued that understanding and communicating decision risks is one of the keys to successful applications of climate prediction. We consider that advances of the future will be made by better connecting agricultural scientists and practitioners with the science of climate prediction. Professions involved in decision making must take a proactive role in the development of climate forecasts if the design and use of climate predictions are to reach their full potential. (C) 2001 Elsevier Science Ltd. All rights reserved.

Increasing profits and reducing risks in crop production using participatory systems simulation approaches

The development of cropping systems simulation capabilities world-wide combined with easy access to powerful computing has resulted in a plethora of agricultural models and consequently, model applications. Nonetheless, the scientific credibility of such applications and their relevance to farming practice is still being questioned. Our objective in this paper is to highlight some of the model applications from which benefits for farmers were or could be obtained via changed agricultural practice or policy. Changed on-farm practice due to the direct contribution of modelling, while keenly sought after, may in some cases be less achievable than a contribution via agricultural policies. This paper is intended to give some guidance for future model applications. It is not a comprehensive review of model applications, nor is it intended to discuss modelling in the context of social science or extension policy. Rather, we take snapshots around the globe to 'take stock' and to demonstrate that well-defined financial and environmental benefits can be obtained on-farm from the use of models. We highlight the importance of 'relevance' and hence the importance of true partnerships between all stakeholders (farmer, scientists, advisers) for the successful development and adoption of simulation approaches. Specifically, we address some key points that are essential for successful model applications such as: (1) issues to be addressed must be neither trivial nor obvious; (2) a modelling approach must reduce complexity rather than proliferate choices in order to aid the decision-making process (3) the cropping systems must be sufficiently flexible to allow management interventions based on insights gained from models. The pro and cons of normative approaches (e.g. decision support software that can reach a wide audience quickly but are often poorly contextualized for any individual client) versus model applications within the context of an individual client's situation will also be discussed. We suggest that a tandem approach is necessary whereby the latter is used in the early stages of model application for confidence building amongst client groups. This paper focuses on five specific regions that differ fundamentally in terms of environment and socio-economic structure and hence in their requirements for successful model applications. Specifically, we will give examples from Australia and South America (high climatic variability, large areas, low input, technologically advanced); Africa (high climatic variability, small areas, low input, subsistence agriculture); India (high climatic variability, small areas, medium level inputs, technologically progressing; and Europe (relatively low climatic variability, small areas, high input, technologically advanced). The contrast between Australia and Europe will further demonstrate how successful model applications are strongly influenced by the policy framework within which producers operate. We suggest that this might eventually lead to better adoption of fully integrated systems approaches and result in the development of resilient farming systems that are in tune with current climatic conditions and are adaptable to biophysical and socioeconomic variability and change. (C) 2001 Elsevier Science Ltd. All rights reserved.

ReoPro rules: results from the 'DoTirofiban and ReoPro give similar efficacy trial' (TARGET) - A Key Paper Evaluation (Topol, Ej et al)

In the treatment of atherosclerotic disease, stenting in the presence of a glycoprotein (GP) IIb/IIIa antagonist is becoming an increasingly common procedure. The ‘Do Tirofiban and ReoPro Give Similar Efficacy Trial’ (TARGET) was designed to determine whether the cheaper tirofiban was as effective and safe as abciximab in the prevention of ischaemic events with stenting. Unexpectedly, abciximab was shown to be superior to tirofiban. Tirofiban is a selective GP IIb/IIIa antagonist whereas abciximab has additional anti-inflammatory actions, which may contribute to its superiority.

Is bucindolol BEST? (A Key Paper Evaluation)

Carvedilol, a non-selective β-adrenoceptor blocker with ancillary properties, and metoprolol and bisoprolol, selective β1-blockers without ancillary properties, have been shown to reduce mortality and morbidity in heart failure. In the Beta-blocker Evaluation of Survival Trial (BEST), bucindolol, a non-selective β-adrenoceptor blocker with different ancillary properties to carvedilol, did not reduce overall survival in heart failure. Possible explanations for this include: more Blacks being included in the trial, bucindolol being more ‘sympatholytic’ than the other β-blockers and more advanced heart failure in BEST. Another possible explanation is that bucindolol is stimulating cardiac β2-adrenoceptors to counter the effects of inhibiting cardiac β1-adrenoceptors. Bucindolol is not the best treatment and carvedilol, metoprolol and bisoprolol should be preferred in heart failure.

Clopidogrel: A CURE in acute coronary syndromes? (A Key Paper Evaluation)

The standard approach to preventing acute coronary syndromes (ACSs)has been to inhibit platelet aggregation with aspirin and to inhibit blood coagulation with low molecular-weight heparin (LMWH). Even with this combination there is still a substantial short and long-term cardiovascular risk. The Clopidogrel in Unstable angina to prevent Recurrent Events (CURE) trial [1] compared clopidogrel plus aspirin against aspirin alone in patients with ACSs. The clopidogrel regimen was a loading dose of 300 mg p.o. followed by 75 mg/day and the recommended dose of aspirin was 75 - 325 mg/day. The first primary outcome was a composite of death from cardiovascular causes, non-fatal myocardial infarction (MI) or stroke and this occurred significantly less often in the clopidogrel than the placebo group (9.3 vs. 11.4%). Although there were more clopidogrel patients with life-threatening bleeding (clopidogrel 2.2%, placebo 1.8%), this represented GI haemorrhages and bleeding at sites of arterial puncture rather than fatal bleeding. This trial suggests a role for clopidogrel in the long-term treatment of ACSs

Mobile digital technology: Emerging issues for marketing

The growth of direct marketing has been attributed to rapid advances in technology and the changing market context. The fundamental ability of direct marketers to communicate with consumers and to elicit a response, combined with the ubiquitous nature and power of mobile digital technology, provides a synergy that will increase the potential for the success of direct marketing. The aim of this paper is to provide an analytical framework identifying the developments in the digital environment from e-marketing to m-marketing, and to alert direct marketers to the enhanced capabilities available to them.

The global sports-media nexus: Reflections on the 'Super League Saga' in Australia

Despite the social and (increasingly) commercial significance of sport and sporting bodies worldwide, they remain under-represented in the mainstream management literature. One of the more recent and dramatic examples of the global sports-media nexus is the 'Super League saga' in Australia. This paper recounts the tale of the Super League saga, providing a holistic analysis of the events and competitive issues arising by drawing on literatures concerning the economic nature and value of sports leagues, the resource-based view of the firm and the nature of psychological contracts in changing environments. The analysis confirms the general monopolistic tendencies of professional sports leagues in an increasingly global industry driven by the sports-media nexus, in accord with a number of comparable cases internationally. The particular conditions of the Australian marketplace that exacerbate this tendency beyond, for example, that found in the USA, and differences in the outcomes of battles between rival leagues are also considered. The Super League saga portrays the importance of effective management of resources key to the production of the 'rugby league product' including, among others, the often over-looked importance of careful management of local resources for the success of global strategies, and, where human resources are key, the importance of psychological contracting. The holistic analysis of the Super League saga in Australia affords lessons that extend well beyond the realm of sports.