The position of Australian community sporting organisations in the third sector: membership profiles, characteristics and attitudes

Australian community sporting organisations have been relatively underresearched within the wider study of voluntary associations, yet their membership base is large and constitutes a sizable proportion of the population. This paper analyses data from the Australian Survey of Social Attitudes (AuSSA) 2003 (Gibson et al. 2004), initially to describe characteristics ofmembers ofcommunity sporting organisations in Australia (n=948). It goes on to compare attitudinal dimensions between members of sporting and other major third-sector organisations. On the basis of these comparisons three groupings of associations are suggested: social change, individual/social progress and individual/social maintenance. Sporting organisations form part of the latter category, and the paper briefly discusses the likely nature of social capital production associated with each.

Organisational decline and renewal in an Australian voluntary association

Voluntary associations are an integral fonn of social capital in democratic societies. These associations make vital contributions to community life. Many associations are successful in meeting the needs of their constituency and thrive over many decades. These long serving associations are not static vehicles, like all organisations, they are subject to internal and external pressures for change. It is a significant challenge for volunteer associations to maintain 'a watch' on the external environment whilst responding to the needs of their stakeholders. Previously vibrant associations may experience a decline in membership and social standing as a result of significant changes in society and technology. We track a nonprofit voluntary association from its inception in the 1960s through it responses to major environmental turbulence during the late 1980s, 1990s, and early 2000s when the survival of
the organisation was in doubt. We outline the changes that took place from 2003 that reorientated, revitalised and reshaped the association including a major shift in focus from services to members to services to the community. This study provides academics and practitioners with an appreciation of the forces of organisational decline and a case study of successful change in a voluntary association.

The association between corporate governance attributes and audit fees in Malaysia : ethnicity implications

This study extends the literature on audit pricing by examining the relationship between audit fees and corporate governance factors, namely audit committee and CEO characteristics of 605 public-listed companies in Malaysia. The study specifically investigates the association between audit fees and the ethnicity attributes of the CEO (bumiputra or not) and audit committee members (i.e. proportion of bumiputra membership), as well as audit committee characteristics pertaining to the proportion of independent members, financial expertise and diligence. The findings indicate audit committee independence is significantly and positively associated with audit fees, while financial expertise has a negative association with audit fees. We however do not find any relationship between audit fees and audit committee diligence as measured by meeting frequency. In addition, the data also reveals that firms with bumiputra CEOs and bumiputra dominated audit committees hold significant and positive relationships with audit fees.

Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies

Background
Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the most probable candidate genes linked to the disease phenotypes under investigation. Here we assessed the ability of eight different candidate gene prediction systems to predict disease genes in intervals previously associated with type 2 diabetes by benchmarking their performance against genes implicated by recent genome-wide association studies.

Results
Using a search space of 9556 genes, all but one of the systems pruned the genome in favour of genes associated with moderate to highly significant SNPs. Of the 11 genes associated with highly significant SNPs identified by the genome-wide association studies, eight were flagged as likely candidates by at least one of the prediction systems. A list of candidates produced by a previous consensus approach did not match any of the genes implicated by 706 moderate to highly significant SNPs flagged by the genome-wide association studies. We prioritized genes associated with medium significance SNPs.

Conclusion
The study appraises the relative success of several candidate gene prediction systems against independent genetic data. Even when confronted with challengingly large intervals, the candidate gene prediction systems can successfully select likely disease genes. Furthermore, they can be used to filter statistically less-well-supported genetic data to select more likely candidates. We suggest consensus approaches fail because they penalize novel predictions made from independent underlying databases. To realize their full potential further work needs to be done on prioritization and annotation of genes.

Defining educational research : a perspective of/on presidential addresses and the Australian Association for Research in Education

This paper is concerned with the definition of the field of educational research and the changing and developing role of the Australian Association for Research in Education (AARE) in representing and constituting this field. The evidence for the argument is derived from AARE Presidential Addresses across its 40-year history. The paper documents the enhanced complexity and diversity of the field over these 40 years, including the emergence of a global educational policy field, theoretical and methodological developments in the social sciences and new research accountabilities such as the Excellence in Research for Australia (ERA) measure. Specifically, the paper suggests that the evidence-based movement in public management and education policy, and the introduction of the ERA, potentially limit and redefine the field of educational research, reducing the usefulness and relevance of educational research to policy makers and practitioners. This arises from a failure to recognise that Education is both a field of research and a field of policy and practice. Located against both developments, the paper argues for a principled eclecticism framed by a reassessment of quality, which can be applied to the huge variety of methodologies, theories, epistemologies and topics legitimately utilised and addressed within the field of educational research. At the same time, the paper argues the need to globalise the educational research imagination and deparochialise educational research. This call is located within a broader argument suggesting the need for a new social imaginary (in a post-neoliberal context of the global financial crisis) to frame educational policy and practice and the contribution that educational theory and research might make to its constitution. In relation to this, the paper considers the difficulties that political representations of such a new imaginary might entail for the President and the Association, given the variety of its membership and huge diversity of its research interests.

The musical and social benefits of community choir membership in Melbourne (Australia)

The association between audit committee effectiveness and audit risk

Audit committees (ACs) are expected to play a key role in improving financial statement integrity and as a consequence reduce audit risk. Companies reporting conformity with regulations can have an AC that appears effective but is not actually effective in substance. We surveyed audit partners and managers to identify their indicators of actual AC effectiveness (auditor-chosen list). We hypothesize a negative association between AC effectiveness and audit risk, only when an auditor-chosen list, rather than extent of conformity with regulations, is used to measure effectiveness. Results support our expectations.

Dynamic access point association using software defined networking

Previous attempts in addressing Access Point (AP) association at overlapping zone of IEEE 802.11 networks have shown some issues. They work passively and estimate load from different network metrics such as frame delay, packet loss, number of users etc. that may not always true. Further the user behaviour is selfish i.e. illegitimate user consume high network resources. This adversely affect existing or new users which in turn motivates them to change locations. To alleviate these issues, we propose the use of a Software Defined Networking (SDN) enabled client side (wireless end user) solution. In this paper, we start by proposing a dynamic AP selection algorithm/framework in wireless user device. The device receive network resource related statistics from SDN Controller and guide the client device to associate itself with the best selected AP. We justify that the use of SDN discourage users to act selfishly. Further, a mathematical modelling of the proposed scheme is derived using Fuzzy membership function and the simulation is carried out. Results obtained from simulation necessitates to implement SDN enabled client side methods.

Optimized fuzzy association rule mining for quantitative data

With the advance of computing and electronic technology, quantitative data, for example, continuous data (i.e., sequences of floating point numbers), become vital and have wide applications, such as for analysis of sensor data streams and financial data streams. However, existing association rule mining generally discover association rules from discrete variables, such as boolean data (`O' and `l') and categorical data (`sunny', `cloudy', `rainy', etc.) but very few deal with quantitative data. In this paper, a novel optimized fuzzy association rule mining (OFARM) method is proposed to mine association rules from quantitative data. The advantages of the proposed algorithm are in three folds: 1) propose a novel method to add the smoothness and flexibility of membership function for fuzzy sets; 2) optimize the fuzzy sets and their partition points with multiple objective functions after categorizing the quantitative data; and 3) design a two-level iteration to filter frequent-item-sets and fuzzy association-rules. The new method is verified by three different data sets, and the results have demonstrated the effectiveness and potentials of the developed scheme.