990 resultados para Universality class


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In this paper, we propose a systematic solution to the leader-follower consensus of a class of nonholonomic chained form systems. The control design, which is reminiscent of terminal sliding mode and multi-surface sliding mode control methods, is presented to guarantee the convergence of multiple sliding surfaces, which also implies the convergence of the proposed consensus error function. On these sliding surfaces, the desired leader-follower consensus can be reached for multi-agent network formed by the nonholonomic chained form systems.

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Reading and comprehension form an integral part of educational practice. This study explores students’ learning experience in reading journal articles for a Marketing class. Two broad aims are considered: 1) to reflect on students’ reading capacity of journal articles, and 2) to investigate students’ reflection on their use of a learning framework developed to assist them in reading. Data were collected as part of an explorative pilot study from 31 students in Marketing tutorial classes at a university in Australia during a summer semester. The participants were asked about their learning experience in reading a Marketing journal article and their experience of using the learning framework as they read the given article. Findings indicate that students were positive about the value of the learning framework in assisting them to read, to understand the Marketing journal articles and to extract relevant learning themes from them.

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An apparent crisis of youth at-risk is a key marker in contemporary debates about young people among a range of intellectuals, social commentators and experts in various domains and centres of expertise. Drawing on aspects of the reflexive modernization, governmentality and feminist literatures, this paper explores how risk discourses emerge as a means for rendering reality knowable—a technique that facilitates the management of individual biographies in institutionally structured risk environments. In this context there is intellectual work to be done in the social sciences that takes as its object the possibilities and limits of institutionalized intellectual abstraction for problematizing youth via rationalities of risk—and the limits of these rationalities for providing resources for governing our thoughts, actions and dispositions—our freedom.

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This study investigates Japanese primary school students’ and teachers’ responses to educational drama as a pedagogical tool in their English language classes. Along with the participants’ responses, the applicability of educational drama as a teaching method for the Japanese teachers is also discussed. The study was conducted in Japan as ateacher-researcher using participatory action research methods. The participants of the study are three Year Six classes and their teachers in a public primary school in Japan. Educational drama is introduced as an alternative teaching and learning method to these participants who have had no experience of drama in education.

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In this paper we offer a unique contribution to understandings of schooling as a site for the production of social class difference, by bringing together recent work on middle-class educational identities in neoliberal times (O’Flynn and Petersen 2007, Reay et al 2007, 2008) with explorations of classed femininity from the field of critical girlhood studies (Harris 2004, Ringrose and Walkerdine 2008). Drawing on data generated in two recent research projects in Australia and the UK our aim will be to explore how class mediates the construction of young femininities in the private girls’ school. Our particular focus will be on exploring how articulations of identity within such schools are configured through discourses of mobility and global social responsibility. In line with the broader ‘cultural turn’ in the social sciences (Devine 2005) we discuss class and femininity in this paper in cultural and symbolic terms. We draw on Butler’s (1993) notions of performativity to understand the multiple and processual nature of identity constitution and Bourdieu’s (1987) understandings of class (based on symbolic struggles for capital in social space) to enable us to explore the ‘subjective micro distinctions’ through which class is expressed, embodied and lived; viewing class as a set of fictional discourses that inscribe and produce identities (Walkerdine et al 2001). This understanding of class, as something that is ‘done’ rather than something that ‘we are’, was deemed particularly important in these studies of elite education, for the research was undertaken in schools where class was apparently ‘everywhere and nowhere’, never named or ‘directly known as class’ (Lawler 2005, Skeggs 2004). This underplaying of class identity is often linked to neo-liberalism, and in this paper we would like to link these constructions of ‘the private school girl’ with neoliberal subjectivity by focusing on two main characteristics. First we will consider the notion of mobility, where we will discuss the ways in which these girls constructed themselves as ‘cosmo’ girls (global citizens at ease with traversing national borders) and the ways in which the schools supported this through educational practices which enabled the students and their families ‘to exploit and strategically pursue economic and cultural capital’ (Doherty et al 2009). We will also focus on the struggles that the schools and students encountered as they attempted to juggle these discourses of global mobility with more traditional discourses of privilege (often associated with national boundaries and based within a predominantly British model of schooling steeped in colonial history). Second, we will look at discourses of responsibility, to explore how these girls were incited to take responsibility for themselves and their futures but also to embrace diversity and to commit themselves to social service. We will also examine the competing discourses of instrumentalism and social justice that were at play in these schools.

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Due to the huge growth of the World Wide Web, medical images are now available in large numbers in online repositories, and there exists the need to retrieval the images through automatically extracting visual information of the medical images, which is commonly known as content-based image retrieval (CBIR). Since each feature extracted from images just characterizes certain aspect of image content, multiple features are necessarily employed to improve the retrieval performance. Meanwhile, experiments demonstrate that a special feature is not equally important for different image queries. Most of existed feature fusion methods for image retrieval only utilize query independent feature fusion or rely on explicit user weighting. In this paper, we present a novel query dependent feature fusion method for medical image retrieval based on one class support vector machine. Having considered that a special feature is not equally important for different image queries, the proposed query dependent feature fusion method can learn different feature fusion models for different image queries only based on multiply image samples provided by the user, and the learned feature fusion models can reflect the different importances of a special feature for different image queries. The experimental results on the IRMA medical image collection demonstrate that the proposed method can improve the retrieval performance effectively and can outperform existed feature fusion methods for image retrieval.

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With the development of the internet, medical images are now available in large numbers in online repositories, and there exists the need to retrieval the medical images in the content-based ways through automatically extracting visual information of the medical images. Since a single feature extracted from images just characterizes certain aspect of image content, multiple features are necessarily employed to improve the retrieval performance. Furthermore, a special feature is not equally important for different image queries since a special feature has different importance in reflecting the content of different images. However, most existed feature fusion methods for image retrieval only utilize query independent feature fusion or rely on explicit user weighting. In this paper, based on multiply query samples provided by the user, we present a novel query dependent feature fusion method for medical image retrieval based on one class support vector machine. The proposed query dependent feature fusion method for medical image retrieval can learn different feature fusion models for different image queries, and the learned feature fusion models can reflect the different importance of a special feature for different image queries. The experimental results on the IRMA medical image collection demonstrate that the proposed method can improve the retrieval performance effectively and can outperform existed feature fusion methods for image retrieval.

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This article argues for a need to reform the corporate class action procedure in Australia. The reason is that the statutory procedure for an “opt out” class action is beginning to appear more like an “opt in” class action. The confusion relates to the poor drafting of Part IVA of the Federal Court of Australia Act 1976, which contains the class action procedure. The involvement of a commercial litigation funder has also contributed to the complexity in the interpretation of the law. The article provides a review of why s 33J and s 33E are conceptually difficult to apply. It highlights the key areas that require legislative amendments in order for the class action procedure to operate more effectively.

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Class I fungal hydrophobins form amphipathic monolayers composed of amyloid rodlets. This is a remarkable case of functional amyloid formation in that a hydrophobic:hydrophilic interface is required to trigger the self-assembly of the proteins. The mechanism of rodlet formation and the role of the interface in this process have not been well understood. Here, we have studied the effect of a range of additives, including ionic liquids, alcohols, and detergents, on rodlet formation by two class I hydrophobins, EAS and DewA. Although the conformation of the hydrophobins in these different solutions is not altered, we observe that the rate of rodlet formation is slowed as the surface tension of the solution is decreased, regardless of the nature of the additive. These results suggest that interface properties are of critical importance for the recruitment, alignment, and structural rearrangement of the amphipathic hydrophobin monomers. This work gives insight into the forces that drive macromolecular assembly of this unique family of proteins and allows us to propose a three-stage model for the interface-driven formation of rodlets.

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Approximately one-quarter of people over the age of 65 are estimated to suffer some form of cognitive impairment, underscoring the need for effective cognitive-enhancing agents. Insulin-regulated aminopeptidase (IRAP) is potentially an innovative target for the development of cognitive enhancers, as its peptide inhibitors exhibit memory-enhancing effects in both normal and memory-impaired rodents. Using a homology model of the catalytic domain of IRAP and virtual screening, we have identified a class of nonpeptide, small-molecule inhibitors of IRAP. Structure-based computational development of an initial "hit" resulted in the identification of two divergent families of compounds. Subsequent medicinal chemistry performed on the highest affinity compound produced inhibitors with nanomolar affinities (Ki 20–700 nM) for IRAP. In vivo efficacy of one of these inhibitors was demonstrated in rats with an acute dose (1 nmol in 1 µl) administered into the lateral ventricles, improving performance in both spatial working and recognition memory paradigms. We have identified a family of specific IRAP inhibitors that is biologically active which will be useful both in understanding the physiological role of IRAP and potentially in the development of clinically useful cognitive enhancers. Notably, this study also provides unequivocal proof of principal that inhibition of IRAP results in memory enhancement.

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