Discovery of structural and functional features in RNA pseudoknots

An RNA pseudoknot consists of nonnested double-stranded stems connected by single-stranded loops. There is increasing recognition that RNA pseudoknots are one of the most prevalent RNA structures and fulfill a diverse set of biological roles within cells, and there is an expanding rate of studies into RNA pseudoknotted structures as well as increasing allocation of function. These not only produce valuable structural data but also facilitate an understanding of structural and functional characteristics in RNA molecules. PseudoBase is a database providing structural, functional, and sequence data related to RNA pseudoknots. To capture the features of RNA pseudoknots, we present a novel framework using quantitative association rule mining to analyze the pseudoknot data. The derived rules are classified into specified association groups regarding structure, function, and category of RNA pseudoknots. The discovered association rules assist biologists in filtering out significant knowledge of structure-function and structure-category relationships. A brief biological interpretation to the relationships is presented, and their potential correlations with each other are highlighted.

Revolt and discovery : towards an understanding of practice as research through Kristevan aesthetics

This paper will examine Kristeva’s conceptions of revolution and revolt to demonstrate the significance of her work for practitioners and researchers working in the emerging field of creative arts practice as research, a field of research that is burgeoning in the UK, Australia, Canada and Scandinavia. I will argue that Kristeva’ thought elaborates the aesthetic underpinnings of discovery and provides a rationale for the methodologies used in artistic research.

In her later work on interpretation, Kristeva places a greater emphasis on the need for analysis or theory, since the art and culture of revolt produce unfamiliar or mutant meanings that are difficult for audiences to grasp in terms of their potency for engendering social change and individual empowerment. However, she places the responsibility for this analysis and interpretation on the art critic. But what if (as is the case with the advent of artistic practice as research), the maker and the “critic” become one and the same? Can this shift in the status of artistic practice within the knowledge economy, be understood in terms of Kristeva account of the sense and nonsense of revolt? I will address these questions by revisiting aspects of Kristeva thinking on experience-in practice and examining her more recent and extended elaboration of revolutionary practice. The paper will explore how her thinking can provide practitioners with a framework for understanding creative arts research as the production of new knowledge. If as Kristeva argues, that art and literature are amongst the few means of revolt and renewal, it seems appropriate to turn to her thinking in order to articulate a rationale and argument for claiming that practice as research can operate as a driver of change and innovation in contemporary culture.

The first part of this task will involve tracing what Kristeva sees as three forms of revolt made possible through aesthetic experience. This will involve a closer examination of the notions of transgression and art as experience. Following on from this discussion, I will discuss how Kristeva’s work constitutes both an implicit and explicit critique of science allowing us to conceive of artistic research as an alternative and performative production of knowledge. Finally in this paper, I will apply and illustrate these ideas through an analysis of a selection of a number of research projects successfully completed by artistic researchers in Australia. I hope to show that artistic practice as a mode of enquiry, reveals the inextricable and necessary relationship between practice and theory, interpretation and making, art and life. I suggest that it is this interrelationship, that underpins what Kristeva describes as creative and revolutionary practice. In the context of creative arts practice as research, Kriteva’s account of experience–in-practice indicates that interpretation and analysis must fall to the practitioner-researcher himself or herself - rather than to another person who has been external to the procedures of making - to trace the significant experiential, subjective and emergent processes involved in the production of the work that allows it to reveal the new. This is necessary if the generative and revolutionary impact of artistic research is to be fully understood in the wider research arena.

Mitrochondrial target discovery in diabetic skeletal muscle

This study identified the protein PARL (Presenilin-associated rhomboid like) as a potential mediator of the mitochondrial abnormalities that are observed in diabetic skeletal muscle. This was demonstrated by analysing PARL expression in an animal model of type 2 diabetes and by investigating the biological effects of genetic variation in the human PARL gene.

Evaluating the distributional implications of price movements : methodology, application and Australian evidence

This article investigates the distributional implication of relative price movements in Australia. It proposes and applies a method of evaluating the nature and size of the inequality bias of price movements. In the process, the study introduces a new demographic demand model that yields sensible and statistically significant estimates of the general equivalence scale and the size economies of scale. The study finds that relative price movements in Australia during the 1990s had an inequality increasing bias and that this bias increased in the late 1990s and the first part of the new millennium. The disaggregated analysis of the inequality movements shows that the regressive nature of relative price changes affected the renters much more than non-renters. The study also provides evidence on the decomposition of overall inequality between demographic groups and compares the decomposition between the nominal and real expenditure inequalities.

Service discovery for service-oriented content adaptation

Service-Oriented Content Adaptation (SOCA) has emerged as a potential solution to the content-device mismatch problem. One of the key problems with the SOCA scheme is that a content adaptation task can potentially be performed by multiple services. In this paper, we propose an approach to the service discovery problem for SOCA and it is demonstrated to perform well.

A-Reit price responses to cash rate changes

With the rapid increasing number and assets of A-REITs, there has been an urgent need to study the relationship between the changes of cash rates and the A-REITs returns. This study investigates whether there were relationships between Australian-Real Estate Investment Trusts stock returns and policy interest rate changes in the past decade by using event study with a multivariate regression model. The findings indicate that cash rate changes have no significantly positive or negative influence on the equity A-REIT stock prices. A series of successive cash rate changes do not take a continuous and dramatic effect on the equity A-REIT stock prices in each economic cycle. Moreover, the A-REITs with relatively smaller assets show more significant fluctuation to the changes of cash rates, and the A-REITs owning more than $ 10 billion in capital assets have relatively steady stock prices. Overall, the findings from this research lead to a call for comprehensive research into various areas in order to ascertain the determinants of A-REIT price changes.

Can investors hedge residential price dynamics of Australia's capital cities?

The study described in this paper focuses on testing the short-run and
long-run relationships between house price and consumer price indices in Australia’s capital cities from 1998 to 2008. The autoregressive distributed lag model is adopted to obtain the estimates of the short-run relationships, while the error correction model is used to investigate the long-run relationships. The t-statistic is used to compute the significance of these relationships. The research results give no evidence that house price indices are correlated with consumer price indices in the short run. However, the long-run relationships between house and consumer price indices exist in most of the cities.

Knowledge discovery in data streams

Knowing what to do with the massive amount of data collected has always been an ongoing issue for many organizations. While data mining has been touted to be the solution, it has failed to deliver the impact despite its successes in many areas. One reason is that data mining algorithms were not designed for the real world, i.e., they usually assume a static view of the data and a stable execution environment where resources are abundant. The reality however is that data are constantly changing and the execution environment is dynamic. Hence, it becomes difficult for data mining to truly deliver timely and relevant results. Recently, the processing of stream data has received many attention. What is interesting is that the methodology to design stream-based algorithms may well be the solution to the above problem. In this entry, we discuss this issue and present an overview of recent works.

Toward ease of discovery, selection and use of clusters within a cloud

While the emergence of clouds had lead to a significant paradigm shift in business and research, cloud computing is still in its infancy. Specifically, there is no effective publication and discovery service nor are cloud services easy to use. This paper presents a new technology for offering ease of discovery, selection and use of clusters hosted within clouds. By improving these services, cloud clusters become easily accessible to all clients, software services to noncomputing human user.

A study on the accuracy of frequency measures and its impact on knowledge discovery in single sequences

In knowledge discovery in single sequences, different results could be discovered from the same sequence when different frequency measures are adopted. It is natural to raise such questions as (1) do these frequency measures reflect actual frequencies accurately? (2) what impacts do frequency measures have on discovered knowledge? (3) are discovered results accurate and reliable? and (4) which measures are appropriate for reflecting frequencies accurately? In this paper, taking three major factors (anti-monotonicity, maximum-frequency and window-width restriction) into account, we identify inaccuracies inherent in seven existing frequency measures, and investigate their impacts on the soundness and completeness of two kinds of knowledge, frequent episodes and episode rules, discovered from single sequences. In order to obtain more accurate frequencies and knowledge, we provide three recommendations for defining appropriate frequency measures. Following the recommendations, we introduce a more appropriate frequency measure. Empirical evaluation reveals the inaccuracies and verifies our findings.