Obesity and diabetes gene discovery approaches

New treatments are currently required for the common metabolic diseases obesity and type 2 diabetes. The identification of physiological and  biochemical factors that underlie the metabolic disturbances observed in obesity and type 2 diabetes is a key step in developing better therapeutic outcomes. The discovery of new genes and pathways involved in the  pathogenesis of these diseases is critical to this process, however  identification of genes that contribute to the risk of developing these diseases represents a significant challenge as obesity and type 2 diabetes are complex diseases with many genetic and environmental causes. A number of diverse approaches have been used to discover and validate potential new targets for obesity and diabetes. To date, DNA-based approaches using candidate gene and genome-wide linkage analysis have had limited success in identifying genomic regions or genes involved in the development of these diseases. Recent advances in the ability to evaluate linkage analysis data from large family pedigrees using variance components based linkage analysis show great promise in robustly identifying genomic regions associated with the development of obesity and diabetes. RNA-based technologies such as cDNA microarrays have identified many genes differentially expressed in tissues of healthy and diseased subjects. Using a combined approach, we are endeavouring to focus attention on differentially expressed genes located in chromosomal regions previously linked with obesity and / or diabetes. Using this strategy, we have identified Beacon as a potential new target for obesity and diabetes.

Accelerating linear causal model discovery using hoeffding bounds

Efficiently inducing precise causal models accurately reflecting given data sets is the ultimate goal of causal discovery. The algorithms proposed by Dai et al. has demonstrated the ability of the Minimum Message Length (MML) principle in discovering Linear Causal Models from training data. In order to further explore ways to improve efficiency, this paper incorporates the Hoeffding Bounds into the learning process. At each step of causal discovery, if a small number of data items is enough to distinguish the better model from the rest, the computation cost will be reduced by ignoring the other data items. Experiments with data set from related benchmark models indicate that the new algorithm achieves speedup over previous work in terms of learning efficiency while preserving the discovery accuracy.

Ensembling MML causal discovery

This paper presents an ensemble MML approach for the discovery of causal models. The component learners are formed based on the MML causal induction methods. Six different ensemble causal induction algorithms are proposed. Our experiential results reveal that (1) the ensemble MML causal induction approach has achieved an improved result compared with any single learner in terms of learning accuracy and correctness; (2) Among all the ensemble causal induction algorithms examined, the weighted voting without seeding algorithm outperforms all the rest; (3) It seems that the ensembled CI algorithms could alleviate the local minimum problem. The only drawback of this method is that the time complexity is increased by δ times, where δ is the ensemble size.

Critical injuries ; collaborative Indigenous life writing and the ethics of criticism

The publication of collaborative Indigenous life writing places both the text and its production under public scrutiny. The same is true for the criticism of life writing. For each, publication has consequences. Taking as its starting point the recent critical concern for harm occasioned in life writing, this
article argues that in the reading of collaborative Indigenous life writing, injury may eventuate from critical commentary itself. The critical work of G Thomas Couser and his concern for vulnerable subjects, whose life narratives reach published form through the efforts or with the assistance of another, has its
parallel in the critical attention given to collaboratively produced Indigenous life writing in Australia and Canada. In some cases, however, such analysis is generated without consultation with the Indigenous producers of collaborative texts. Criticism directing its arguments toward the conditions
of editorial constraint by which the Indigenous subject is enclosed or silenced has the ironic and surely unintended consequence of removing the Indigenous participants of collaboration from the field of critical engagement. With particular regard to the collaborative texts Ingelba and the Five Black Matriarchs and Stolen Life: the journey of a Cree woman, this article argues that literary criticism can benefit from the practice of consultation with the Indigenous subjects whose representations it comments upon.

Driven to abstraction: doctoral supervision and writing pedagogies

The writing of academic abstracts is more than a tiresome necessity of scholarly life. It is a practice that goes beyond genre and technique to questions of writing and identity. In this article we deconstruct a series of abstracts from a variety of refereed journals to 'read' for the representation of data, argument, methodology and significance. We describe one strategy for writing abstracts, developed as part of a long-term project on postgraduate writing pedagogies. We propose that the art of writing abstracts is neglected in the academy, is given scant attention by journal editors, and has produced a motley and often bland array of conventions and genres. We suggest that abstract art should be an important aspect of supervision if graduate students and novice researchers are to stake a claim in the academy.

Pandora`s box : academic perceptions of student plagiarism in writing

Plagiarism is viewed by many academics as a kind of Pandora's box—the elements contained inside are too frightening to allow escape for fear of the havoc that may result. Reluctance by academic members of staff to discuss student plagiarism openly may contribute to the often untenable situations we, as teachers, face when dealing with student plagiarism issues. In this article, I examine the dilemmas English for Academic Purposes (EAP) staff face when dealing with student plagiarism in the tertiary classroom. The perceptions of all 11 teachers involved in teaching a first year EAP writing subject at South-Coast University are detailed in light of the university's policy on plagiarism. My research indicates that not only is an agreed definition of plagiarism difficult to reach by members of staff teaching the same subject, but plagiarism is a multi-layered phenomenon encompassing a spectrum of human intention. Evaluating the spectrum can lead to differences in the implementation of university plagiarism policy, the result of which embodies issues of equity. The aim of the article is to encourage policy-makers and academic staff to acknowledge the concerns about implementation of plagiarism policy. Collaborative, cross-disciplinary re-thinking of plagiarism is needed to reach workable solutions.

The tangled web internet plagiarism and international students` academic writing

This study explores the notion of plagiarism and the Internet from 11 English as Second Language (ESL) teachers and 186 first-year ESL students at South-Coast University in Melbourne, Australia. Data collection was by a questionnaire and semi-structured interviews, and coded using SPSS and N*Vivo software to ascertain trends in response. The most significant difference in response related to the concept of the Internet as copyrightable space. ESL teachers in this study regarded cyberspace as a limitless environment for ‘cut and paste’ plagiarism in students’ academic writing, whereas ESL students considered the Internet a ‘free zone’ and not governed by legal proprietary rights. These conflicting views, it is suggested, relate to differing notions of authorship and attribution: the Romantic notion protected by legal theory and sanctions versus literary theory and techno-literacy notions of authorship. This research highlights the need to reformulate plagiarism policies in light of global and technological perspectives of authorship and attribution of text.

Enhancing UDDI for grid service discovery by using dynamic parameters

A major problem for a grid user is the discovery of currently available services. With large number of services, it is beneficial for a user to be able to discover the services that most closely match their requirements. This report shows how to extend some concepts of UDDI such that they are suitable for dynamic parameter based discovery of grid services.

Toward self discovery for an autonomic cluster

Nondedicated clusters are currently at the forefront of the development of high performance computing systems. These clusters are relatively intolerant of hardware failures and cannot manage dynamic cluster membership efficiently. This report presents the logical design of an innovative self discovery service that provides for automated cluster management and resource discovery. The proposed service has an ability to share or recover unused computing resources, and to adapt to transient conditions autonomically, as well as the capability of providing dynamically scalable virtual computers on demand.

Semantic and Personalised Service Discovery

One of the most pervasive classes of services needed to support e-Science applications are those responsible for the discovery of resources. We have developed a solution to the problem of service discovery in a Semantic Web/Grid setting. We do this in the context of bioinformatics, which is the use of computational and mathematical techniques to store, manage, and analyse the data from molecular biology in order to answer questions about biological phenomena. Our specific application is myGrid (www.mygrid.org.uk) that is developing open source, service-based middleware upon which bioinformatics applications can be built. myGrid is specifically targeted at developing open source high-level service Grid middleware for bioinformatics.

Semantic and Personalised Service Discovery

One of the most pervasive classes of services needed to support e-Science applications are those responsible for the discovery of resources. We have developed a solution to the problem of service discovery in a Semantic Web/Grid setting. We do this in the context of bioinformatics, which is the use of computational and mathematical techniques to store, manage, and analyse the data from molecular biology in order to answer questions about biological phenomena. Our specific application is myGrid (http: //www.mygrid.org.uk) that is developing open source, service-based middleware upon which bioin- formatics applications can be built. myGrid is specif- ically targeted at developing open source high-level service Grid middleware for bioinformatics.

Personalised Grid Service Discovery

The authors take a broad view that ultimately Grid- or Web-services must be located via personalised, semantic-rich discovery processes. They argue that such processes must rely on the storage of arbitrary metadata about services that originates from both service providers and service users. Examples of such metadata are reliability metrics, quality of service data, or semantic service description markup. This paper presents UDDI-MT, an extension to the standard UDDI service directory approach that supports the storage of such metadata via a tunnelling technique that ties the metadata store to the original UDDI directory. They also discuss the use of a rich, graph-based RDF query language for syntactic queries on this data. Finally, they analyse the performance of each of these contributions in our implementation.

Personalised Grid Service Discovery

We take a broad view that ultimately Grid- or Web-services must be located via personalised, semantic-rich discovery processes. We argue that such processes must rely on the storage of arbitrary metadata about services that originates from both service providers and service users. Examples of such metadata are reliability metrics, quality of service data, or semantic service description markup. This paper presents UDDI-MT, an extension to the standard UDDI service directory approach that supports the storage of such metadata via a tunnelling technique that ties the metadata store to the original UDDI directory. We also discuss the use of a rich, graph-based RDF query language for syntactic queries on this data. Finally, we analyse the performance of each of these contributions in our implementation.