Using genomic data to make indirect (and unauthorized) estimates of disease risk

The number of genetic factors associated with common human traits and disease is increasing rapidly, and the general public is utilizing affordable, direct-to-consumer genetic tests. The results of these tests are often in the public domain. A combination of factors has increased the potential for the indirect estimation of an individual's risk for a particular trait. Here we explain the basic principals underlying risk estimation which allowed us to test the ability to make an indirect risk estimation from genetic data by imputing Dr. James Watson's redacted apolipoprotein E gene (APOE) information. The principles underlying risk prediction from genetic data have been well known and applied for many decades, however, the recent increase in genomic knowledge, and advances in mathematical and statistical techniques and computational power, make it relatively easy to make an accurate but indirect estimation of risk. There is a current hazard for indirect risk estimation that is relevant not only to the subject but also to individuals related to the subject; this risk will likely increase as more detailed genomic data and better computational tools become available.

Public good provision and the welfare effects of indirect tax harmonisation

The paper considers the welfare effect of the harmonisation of indirect taxes in two open economies. The revenue from taxation is used for the production of a non-tradeable public good. The welfare levels are affected via two channels: (i) changes in the levels of public good provision, and (ii) changes in deadweight loss associated with the taxes. We develop a number of rules of harmonisation and derive conditions under which they lead to potential Pareto improvement.

Systemic racism: the hidden barrier to educational success for Indigenous school students

Explanations for poor educational experiences and results for Australian Indigenous school students have, to a great extent, focused on intended or conscious acts or omissions. This paper adopts an analysis based on the legislation prohibiting indirect racial discrimination. Using the elements of the legislation and case law it argues that apparently benign and race-neutral policies and practices may unwittingly be having an adverse impact on Indigenous students' education. These practices or policies include the building blocks of learning, a Eurocentric school culture. Standard English as the language of assessment, legislation to limit schools' legal liability, and teachers' promotions.

DesignWorld : a tool for team collaboration in high band virtual environments

Current software tools for documenting and developing models of buildings focus on supporting a single user who is a specialist in the specific software used within their own discipline. Extensions to these tools for use by teams maintain the single discipline view and focus on version and file management. There is a perceived need in industry to have tools that specifically support collaboration among individuals from multiple disciplines with both a graphical representation of the design and a persistent data model. This project involves the development of a prototype of such a software tool. We have identified multi-user 3D virtual worlds as an appropriate software base for the development of a collaborative design tool. These worlds are inherently multi-user and therefore directly support collaboration through a sense of awareness of others in the virtual world, their location within the world, and provide various channels for direct and indirect communication. Such software platforms also provide a 3D building and modelling environment that can be adapted to the needs of the building and construction industry. DesignWorld is a prototype system for collaborative design developed by augmenting the Second Life (SL) commercial software platform1 with a collection web-based tools for communication and design. Agents manage communication between the 3D virtual world and the web-based tools. In addition, agents maintain a persistent external model of designs in the 3D world which can be augmented with data such as relationships, disciplines and versions not usually associated with 3D virtual worlds but required in design scenarios.

Psychosocial predictors of intentions to engage in change supportive behaviors in an organizational context

This study utilized the Theory of Planned Behavior (TPB) to understand employee change readiness. The extent to which attitude, subjective norm, and perceived behavioral control predicted employees’ intentions to carry out activities that were supportive of a change event were investigated. The impact of group norm was examined as a further predictor of change-related intentions. The context of the research was a sample of 82 employees in the early stages of a re-brand. Results indicated that direct measures of attitude and subjective norm, as well as group norm, emerged as significant predictors of employees’ intentions to perform re-brand behaviors. To capture the indirect beliefs underlying attitude, subjective norm, and perceived behavioral control, participants also provided an assessment of their behavioral, normative, and control beliefs in regards to the change event, respectively. A series of MANOVAs revealed significant differences between moderate and high intenders on a range of underlying beliefs. Findings are discussed in terms of the application of the TPB for effective change management.

Performance Benchmarking of Australian Business Regulation : Submission to the Productivity Commission

The need to “reduce red tape” and regulatory inconsistencies is a desirable outcome (OECD 1997) for developed countries. The costs normally associated with regulatory regimes are compliance costs and direct charges. Geiger and Hoffman (1998) have noted that the extent of regulation in an industry tends to be negatively associated with firm performance. Typically, approaches to estimation of the cost of regulations examine direct costs, such as fees and charges, together with indirect costs, such as compliance costs. However, in a fragmented system, such as Australia, costs can also be incurred due to procedural delays, either by government, or by industry having to adapt documentation for different spheres of government; lack of predictable outcomes, with variations occurring between spheres of government and sometimes within the same government agency; and lost business opportunities, with delays and red tape preventing realisation of business opportunities (OECD 1997). In this submission these costs are termed adaptation costs. The adaptation costs of complying with variations in regulations between the states has been estimated by the Building Product Innovation Council (2003) as being up to $600 million per annum for building product manufacturers alone. Productivity gains from increased harmonisation of the regulatory system have been estimated in the hundreds of millions of dollars (ABCB 2003). This argument is supported by international research which found that increasing the harmonisation of legislation in a federal system of government reduces what we have termed adaptation costs (OECD 2001). Research reports into the construction industry in Australia have likewise argued that improved consistency in the regulatory environment could lead to improvements in innovation (PriceWaterhouseCoopers 2002), and that research into this area should be given high priority (Hampson & Brandon 2004). The opinion of industry in Australia has consistently held that the current regulatory environment inhibits innovation (Manley 2004). As a first step in advancing improvements to the current situation, a summary of the current costs experienced by industry needs to be articulated. This executive summary seeks to outline these costs in the hope that the Productivity Commission would be able to identify the best tools to quantify the actual costs to industry.

New insights into rebound effects : theory and empirical evidence

The main objective of the thesis is to seek insights into the theory, and provide empirical evidence of rebound effects. Rebound effects reduce the environmental benefits of environmental policies and household behaviour changes. In particular, win-win demand side measures, in the form of energy efficiency and household consumption pattern changes, are seen as ways for households and businesses to save money and the environment. However, these savings have environmental impacts when spent, which are known as rebound effects. This is an area that has been widely neglected by policy makers. This work extends the rebound effect literature in three important ways, (1) it incorporates the potential for variation of rebound effects with household income level, (2) it enables the isolation of direct and indirect effects for cases of energy efficient technology adoption, and examines the relationship between these two component effects, and (3) it expands the scope of rebound effect analysis to include government taxes and subsidies. MACROBUTTON HTMLDirect Using a case study approach it is found that the rebound effect from household consumption pattern changes targeted at electricity is between 5 and 10%. For consumption pattern changes with reduced vehicle fuel use, the rebound effect is in the order of 20 to 30%. Higher income households in general are found to have a lower total rebound effect; however the indirect effect becomes relatively more significant at higher household income levels. In the win-lose case of domestic photovoltaic electricity generation, it is demonstrated that negative rebound effects can occur, which can potentially amplify the environmental benefits of this action. The rebound effect from a carbon tax, which occurs due to the re-spending of raised revenues, was found to be in the range of 11-32%. Taxes and transfers between households of different income levels also have environmental implications. For example, a more progressive tax structure, with increased low income welfare payments is likely to increase greenhouse gas emissions. Subsidies aimed at encouraging environmentally friendly consumption habits are also subject to rebound effects, as they constitute a substitution of government expenditure for household expenditure. For policy makers, these findings point to the need to incorporate rebound effects in the environmental policy evaluation process.’

The role of product involvement in e-service evaluations

This paper provides conceptual and empirical insights into consumers’ evaluations of online services and their consequent behavioural intentions. We show that behavioural intentions in online contexts are driven primarily by two factors, namely online service satisfaction and perceived service quality. Perceived sacrifice and service quality are found to have an indirect effect on online service satisfaction through their influences on perceived value associated with the online service. In addition, we examine the moderating effects of product involvement and discuss the implications of our research findings.

Response efficacy : the key to minimizing rejection and maximizing acceptance of emotion-based anti-speeding messages

This study sought to improve understanding of the persuasive process of emotion-based appeals not only in relation to negative, fear-based appeals but also for appeals based upon positive emotions. In particular, the study investigated whether response efficacy, as a cognitive construct, mediated outcome measures of message effectiveness in terms of both acceptance and rejection of negative and positive emotion-based messages. Licensed drivers (N = 406) participated via the completion of an on-line survey. Within the survey, participants received either a negative (fear-based) appeal or one of the two possible positive appeals (pride or humor-based). Overall, the study's findings confirmed the importance of emotional and cognitive components of persuasive health messages and identified response efficacy as a key cognitive construct influencing the effectiveness of not only fear-based messages but also positive emotion-based messages. Interestingly, however, the results suggested that response efficacy's influence on message effectiveness may differ for positive and negative emotion-based appeals such that significant indirect (and mediational) effects were found with both acceptance and rejection of the positive appeals yet only with rejection of the fear-based appeal. As such, the study's findings provide an important extension to extant literature and may inform future advertising message design.

Environmental monitoring of airborne nanoparticles

The aim of this work was to review the existing instrumental methods to monitor airborne nanoparticle in different types of indoor and outdoor environments in order to detect their presence and to characterise their properties. Firstly the terminology and definitions used in this field are discussed, which is followed by a review of the methods to measure particle physical characteristics including number concentration, size distribution and surface area. An extensive discussion is provided on the direct methods for particle elemental composition measurements, as well as on indirect methods providing information on particle volatility and solubility, and thus in turn on volatile and semivolatile compounds of which the particle is composed. A brief summary of broader considerations related to nanoparticle monitoring in different environments concludes the paper.

A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean

Phase-type distributions represent the time to absorption for a finite state Markov chain in continuous time, generalising the exponential distribution and providing a flexible and useful modelling tool. We present a new reversible jump Markov chain Monte Carlo scheme for performing a fully Bayesian analysis of the popular Coxian subclass of phase-type models; the convenient Coxian representation involves fewer parameters than a more general phase-type model. The key novelty of our approach is that we model covariate dependence in the mean whilst using the Coxian phase-type model as a very general residual distribution. Such incorporation of covariates into the model has not previously been attempted in the Bayesian literature. A further novelty is that we also propose a reversible jump scheme for investigating structural changes to the model brought about by the introduction of Erlang phases. Our approach addresses more questions of inference than previous Bayesian treatments of this model and is automatic in nature. We analyse an example dataset comprising lengths of hospital stays of a sample of patients collected from two Australian hospitals to produce a model for a patient's expected length of stay which incorporates the effects of several covariates. This leads to interesting conclusions about what contributes to length of hospital stay with implications for hospital planning. We compare our results with an alternative classical analysis of these data.

Increasing stochastic perturbations enhances acquisition and learning of complex sport movements

Traditionally, the aquisition of skills and sport movement has been characterised by numerous repetitions of presumed model movement pattern to be acquired by learners. This approach has been questioned by research identifying the presence of individualised movement patterns and the low probability of occurrence of two identical movements within and between individuals. In contrast, the differential learning approach claims advantage for incurring variability in the learning process by adding stochastic perturbations during practice. These ideas are exemplified by data from a high jump experiment which compared the effectiveness of classical and a differential training approach with pre-post test design. Results showed clear advantages for the group with additional stochastic perturbation during the aquisition phase in comparison to classically trained athletes. Analogies to similar phenomenological effects in the neurobiological literature are discussed.

Too great expectations?

Teachers have always been charged with the task of turning out the next generation of citizens—educated, healthy in mind, and healthy in body. The central question here is: how far should this responsibility extend? Just how much can we reasonably expect teachers to be responsible for? And just what should schools be responsible for? Obviously, teachers ought to be responsible for the fundamentals of learning, but should they be held accountable for what the children eat, or how they choose to behave, or for every single risk, direct or indirect, that could conceivably occur within the school grounds? These are precisely the kinds of expectation that have become part of educational life. Bit by bit, new forms of responsibility are being added to the site of the school and, more specifically, to the professional life of the teacher. The intention here is not necessarily to challenge any of these diverse changes, but rather to express concern about their cumulative effect on the ability of the school to do its primary job effectively.

Strains as Mediators between Job Characteristics and Work-Related Outcomes in Police Officers

The relationship between job characteristics (e.g., job demands, social support) and work-related outcomes (e.g., turnover intentions, job performance) is assumed to be mediated by strains (e.g., work-related well-being, psychological strain). However, evidence suggests this association will be stronger for work-related strains than broader measures of overall psychological well-being. The primary aim of this study was to identify whether work and non-work related strains differ significantly in their ability to mediate between job characteristics and work-related outcomes. Perceptions of job characteristics, strain, turnover intentions and job performance were collected via a self-report survey from 2,588 Australian police officers. All job characteristics (job demands, job control, supervisor support and colleague support) were significant predictors of both job performance and turnover intentions, with the exception of job demands, which was not a significant predictor of turnover intentions. Both work and non-work related strains were significant predictors of turnover intentions and job performance. Strains were collectively significant in mediating between job characteristics and work-related outcomes, except in the case of job demands and job performance. The indirect effects of job characteristics on work-related outcomes were primarily through officers’ work-related enthusiasm. The relative importance of work-related enthusiasm in mediating between job characteristics and work-related outcomes offers some support for previous research suggesting stronger associations between work-related constructs. Future research should examine whether there are substantial differences in the explanatory power of work-related enthusiasm and a popular related construct, work engagement.

Simultaneous kinetic-spectrophotometric determination of maltol and ethyl maltol in food samples by using chemometrics

A fast and accurate procedure has been researched and developed for the simultaneous determination of maltol and ethyl maltol, based on their reaction with iron(III) in the presence of o-phenanthroline in sulfuric acid medium. This reaction was the basis for an indirect kinetic spectrophotometric method, which followed the development of the pink ferroin product (λmax = 524 nm). The kinetic data were collected in the 370–900 nm range over 0–30 s. The optimized method indicates that individual analytes followed Beer’s law in the concentration range of 4.0–76.0 mg L−1 for both maltol and ethyl maltol. The LOD values of 1.6 mg L−1 for maltol and 1.4 mg L−1 for ethyl maltol agree well with those obtained by the alternative high performance liquid chromatography with ultraviolet detection (HPLC-UV). Three chemometrics methods, principal component regression (PCR), partial least squares (PLS) and principal component analysis–radial basis function–artificial neural networks (PC–RBF–ANN), were used to resolve the measured data with small kinetic differences between the two analytes as reflected by the development of the pink ferroin product. All three performed satisfactorily in the case of the synthetic verification samples, and in their application for the prediction of the analytes in several food products. The figures of merit for the analytes based on the multivariate models agreed well with those from the alternative HPLC-UV method involving the same samples.