695 research outputs found

    Social revitalisation of urban regions

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    This paper aims to analyse how social revitalisation can contribute to an (economically) attractive urban region and how such policies can be made more effective and efficient. To stimulate re-urbanisation and attract new economic activities and residents, much attention is paid to the concept of ''the attractive city''. Cities are observed to switch their focus from hardware (tangible services) to software (image, quality of life) and orgware (organising capacity). To enhance the effectiveness of social policy is in that context often considered a spearhead for cities. In practice, social policy does not always seem to be carried out effectively. Much money may be spent on solving a problem without effective progress being accomplished. Moreover, the results of social policy are often hard to measure, so that a lack of purpose may not be easy to detect. The paper is based on a comparative research of eight European urban regions.

    Genetic algorithm based two-mode clustering of metabolomics data

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    Metabolomics and other omics tools are generally characterized by large data sets with many variables obtained under different environmental conditions. Clustering methods and more specifically two-mode clustering methods are excellent tools for analyzing this type of data. Two-mode clustering methods allow for analysis of the behavior of subsets of metabolites under different experimental conditions. In addition, the results are easily visualized. In this paper we introduce a two-mode clustering method based on a genetic algorithm that uses a criterion that searches for homogeneous clusters. Furthermore we introduce a cluster stability criterion to validate the clusters and we provide an extended knee plot to select the optimal number of clusters in both experimental and metabolite modes. The genetic algorithm-based two-mode clustering gave biological relevant results when it was applied to two real life metabolomics data sets. It was, for instance, able to identify a catabolic pathway for growth on several of the carbon sources

    Associative conceptual space-based information retrieval systems

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    In this `Information Era' with the availability of large collections of books, articles, journals, CD-ROMs, video films and so on, there exists an increasing need for intelligent information retrieval systems that enable users to find the information desired easily. Many attempts have been made to construct such retrieval systems, including the electronic ones used in libraries and including the search engines for the World Wide Web. In many cases, however, the so-called `precision' and `recall' of these systems leave much to be desired. In this paper, a new AI-based retrieval system is proposed, inspired by, among other things, the WEBSOM-algorithm. However, contrary to that approach where domain knowledge is extracted from the full text of all books, we propose a system where certain specific meta-information is automatically assembled using only the index of every document. This knowledge extraction process results into a new type of concept space, the so-called Associative Conceptual Space where the `concepts' as found in all documents are clustered using a Hebbian-type of learning algorithm. Then, each document can be characterised by comparing the concepts as occurring in it to those present in the associative conceptual space. Applying these characterisations, all documents can be clustered such that semantically similar documents lie close together on a Self-Organising Map. This map can easily be inspected by its user

    ’N narratiewe teologiese verkenning van negatiewe koronêre vatomleidingsoperasieuitkomste: ’n chirurgiese hermeneutiek

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    Negative outcomes of coronary bypass operations not only have an important impact on the patient and family, but also have an influence on the cardiac surgeon on many levels. Within a specific surgical context and from a tradition of faith, interwoven narratives present the possibility of an interdisciplinary conversation between medical science and theology. By following an auto-ethnographic approach, an invitation is offered to participate in sharing the surgeon’s database as a new hermeneutic text. Fellow cardiac surgeons on a national level are involved by way of a Delphi research model, providing for a collective tracing of God’s involvement in surgical outcomes. In a process of a reinterpretation of negative surgical outcomes, Henri Nouwen’s three poles of a spiritual movement can lead to spiritual transformation. Bearing physiological barriers and lifestyles in mind, as well as God’s involvement, the patient and surgeon can in a new manner reflect on possible negative outcomes following operative procedures

    Silicon micromachined hollow microneedles for transdermal liquid transfer

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    This paper presents an improved design and fabrication process [ 13 for hollow micro needles with the proper mechanical strength and sharpness to be applied for painless transdermal transfer of liquids. Tests have shown that liquids like blood are drawn into the needle by capillary forces, reducing the need for active pumping. The fabrication method allows different needle shapes like blades and pencils, is robust enough to be applied for largerscale production, and enables the development of a complete micro-TAS for e.g. blood analysis

    Performance analysis of wireless LANs: an integrated packet/flow level approach

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    In this paper we present an integrated packet/flow level modelling approach for analysing flow throughputs and transfer times in IEEE 802.11 WLANs. The packet level model captures the statistical characteristics of the transmission of individual packets at the MAC layer, while the flow level model takes into account the system dynamics due to the initiation and completion of data flow transfers. The latter model is a processor sharing type of queueing model reflecting the IEEE 802.11 MAC design principle of distributing the transmission capacity fairly among the active flows. The resulting integrated packet/flow level model is analytically tractable and yields a simple approximation for the throughput and flow transfer time. Extensive simulations show that the approximation is very accurate for a wide range of parameter settings. In addition, the simulation study confirms the attractive property following from our approximation that the expected flow transfer delay is insensitive to the flow size distribution (apart from its mean)
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