4,687 research outputs found

    Nature, grace and Catholic engagement in contemporary cultural dialogue

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    Theological Foundations of Pastoral Care in Catholic Universities

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    One defining element of life in any Catholic educational institution, whether it be primary, secondary, or tertiary, is the focus on pastoral care for staff and students. This paper provides a distinctly Catholic definition of the term ‘pastoral care’ and briefly examines the theological foundations that underpin this concept, particularly, in relation to its application in the Catholic university. The paper traces the motif of pastoral care through the Scriptures and, building on insights from St. Pope John Paul II’s Apostolic Constitution on Catholic Universities, Ex Corde Ecclesiae (1990) and the broader theological anthropology of the Vatican II Council. The paper highlights that pastoral care is not something of an extrinsically added offering to students in a Catholic educational institution, but rather something intrinsically built into its fabric

    Designing a resource-efficient data structure for mobile data systems

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    Designing data structures for use in mobile devices requires attention on optimising data volumes with associated benefits for data transmission, storage space and battery use. For semi-structured data, tree summarisation techniques can be used to reduce the volume of structured elements while dictionary compression can efficiently deal with value-based predicates. This project seeks to investigate and evaluate an integration of the two approaches. The key strength of this technique is that both structural and value predicates could be resolved within one graph while further allowing for compression of the resulting data structure. As the current trend is towards the requirement for working with larger semi-structured data sets this work would allow for the utilisation of much larger data sets whilst reducing requirements on bandwidth and minimising the memory necessary both for the storage and querying of the data

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    International comparisons point to a substantial difference in attainment between the highest and the lowest attaining students in science. This gap suggests a need for improved pedagogies which can be addressed through pre- and in-service education. Recent government changes aimed at improving the quality of science education have led to the creation of a number of new routes into teaching and a determined focus on raising the number of physics specialist teachers. The process of allocating teacher training numbers by subject specialism rather than by simply identifying ‘science’ places has had an impact on the balance of biological and physical sciences. A new system of financial bursaries rewards students with good degrees. While some success has been achieved in increasing pre-service numbers, teachers still do not appear to be getting the in-service training that they need and want

    Compressed materialised views of semi-structured data

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    Query performance issues over semi-structured data have led to the emergence of materialised XML views as a means of restricting the data structure processed by a query. However preserving the conventional representation of such views remains a significant limiting factor especially in the context of mobile devices where processing power, memory usage and bandwidth are significant factors. To explore the concept of a compressed materialised view, we extend our earlier work on structural XML compression to produce a combination of structural summarisation and data compression techniques. These techniques provide a basis for efficiently dealing with both structural queries and valuebased predicates. We evaluate the effectiveness of such a scheme, presenting results and performance measures that show advantages of using such structures

    Efficient data representation for XML in peer-based systems

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    Purpose - New directions in the provision of end-user computing experiences mean that the best way to share data between small mobile computing devices needs to be determined. Partitioning large structures so that they can be shared efficiently provides a basis for data-intensive applications on such platforms. The partitioned structure can be compressed using dictionary-based approaches and then directly queried without firstly decompressing the whole structure. Design/methodology/approach - The paper describes an architecture for partitioning XML into structural and dictionary elements and the subsequent manipulation of the dictionary elements to make the best use of available space. Findings - The results indicate that considerable savings are available by removing duplicate dictionaries. The paper also identifies the most effective strategy for defining dictionary scope. Research limitations/implications - This evaluation is based on a range of benchmark XML structures and the approach to minimising dictionary size shows benefit in the majority of these. Where structures are small and regular, the benefits of efficient dictionary representation are lost. The authors' future research now focuses on heuristics for further partitioning of structural elements. Practical implications - Mobile applications that need access to large data collections will benefit from the findings of this research. Traditional client/server architectures are not suited to dealing with high volume demands from a multitude of small mobile devices. Peer data sharing provides a more scalable solution and the experiments that the paper describes demonstrate the most effective way of sharing data in this context. Social implications - Many services are available via smartphone devices but users are wary of exploiting the full potential because of the need to conserve battery power. The approach mitigates this challenge and consequently expands the potential for users to benefit from mobile information systems. This will have impact in areas such as advertising, entertainment and education but will depend on the acceptability of file sharing being extended from the desktop to the mobile environment. Originality/value - The original work characterises the most effective way of sharing large data sets between small mobile devices. This will save battery power on devices such as smartphones, thus providing benefits to users of such devices

    Extracting partition statistics from semistructured data

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    The effective grouping, or partitioning, of semistructured data is of fundamental importance when providing support for queries. Partitions allow items within the data set that share common structural properties to be identified efficiently. This allows queries that make use of these properties, such as branching path expressions, to be accelerated. Here, we evaluate the effectiveness of several partitioning techniques by establishing the number of partitions that each scheme can identify over a given data set. In particular, we explore the use of parameterised indexes, based upon the notion of forward and backward bisimilarity, as a means of partitioning semistructured data; demonstrating that even restricted instances of such indexes can be used to identify the majority of relevant partitions in the data

    SMEs and Regional Economic Growth in Brazil

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    This paper examines the relationship between the Small and Medium Enterprise (SME) sector and economic growth for an annual panel of Brazilian states for the period 1985-2004. We investigate the importance of the relative size of the SME sector measured by the share of the SME employment in total formal employment and the level of human capital in SMEs measured by the average years of schooling of SME employees. The empirical results indicate that the relative importance of SMEs is negatively correlated with economic growth, a result that is consistent with previous studies examining developing countries. In addition, our results also show that human capital embodied in SMEs may be more important for economic growth than the relative size of the SME sector.Firm size, market structure, economic growth, human capital.

    Open education as a 'heterotopia of desire'

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    The movement towards ‘openness’ in education has tended to position itself as inherently democratising, radical, egalitarian and critical of powerful gatekeepers to learning. While ‘openness’ is often positioned as a critique, I will argue that its mainstream discourses – while appearing to oppose large-scale operations of power – in fact reinforce a fantasy of an all-powerful, panoptic institutional apparatus. The human subject is idealised as capable of generating higher order knowledge without recourse to expertise, a canon of knowledge or scaffolded development. This highlights an inherent contradiction between this movement and critical educational theory which opposes narratives of potential utopian futures, offering theoretical counterpositions and data which reveal diversity and complexity and resisting attempts at definition, typology and fixity. This argument will be advanced by referring to Gourlay and Oliver's one-year longitudinal qualitative multimodal journaling and interview study of student day-to-day entanglements with technologies in higher education, which was combined with a shorter study focused on academic staff engagement (see article for full text reference). Drawing on sociomaterial perspectives, I will conclude that allegedly ‘radical’ claims of the ‘openness’ movement in education may in fact serve to reinforce rather than challenge utopic thinking, fantasies of the human, and monolithic social categories, fixity and power, and as such may be seen as indicative of a ‘heterotopia of desire’
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