458 research outputs found

    DSpace 2.0 and 1.5.2 XMLUI Enhancements to Modularity

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    4th International Conference on Open RepositoriesThis presentation was part of the session : DSpace User Group PresentationsDate: 2009-05-20 01:30 PM – 03:00 PMDSpace 2.0 will support modular capabilities at multiple levels of its architecture. While the DSpace Kernel will provide a means to share Services and Configuration detail across multiple deployed web applications within a Servlet Container, the DSpace XMLUI has been ported to Cocoon 2.2, which includes support for the dynamic deployment of "Service Blocks". Blocks enhance the DSpace XMLUI web-application to support not just the Manakin Aspects deployed at assembly time, but also additional services (or servlets) that may be accessed and replaced polymorphically. The lessons learned from the migration of DSpace 2.0 to use Cocoon 2.2 have been back-ported to DSpace 1.5.2. By migrating DSpace 1.5.2 to Cocoon 2.2 we are now able to utilize the same Block support to allow DSpace Manakin XMLUI users to more easily add their modules into the Core. We will discuss the Cocoon 2.2 Block capability and review an example Block that will introduce new Services, Manakin Aspects and Theme additions into the DSpace XMLUI web application, showing how it assists in keeping customizations cleanly separated and manageable by the developer

    DSpace Discovery: Unifying DSpace Search and Browse with Solr

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    One key innovation long awaited by the DSpace community is a more intuitive and unified search and browse experience. NESCent and @mire NV have collaborated to create a new Faceted Search and Browse experience for NESCent's DSpace repository, Dryad. DSpace Discovery is a modular Add-on for DSpace XMLUI that replaces DSpace search and browse with Solr. The implementation of Discovery's Services utilize the DSpace Services API originally developed for DSpace 2.0 and back-ported for use within the recent release of DSpace 1.6.0. Thus, DSpace Discovery represents the next stage in @mire's DSpace 2.0 development initiative

    DSpace Discovery: Unifying DSpace Search and Browse with Solr

    Get PDF
    One key innovation long awaited by the DSpace community is a more intuitive and unified search and browse experience. NESCent and @mire NV have collaborated to create a new Faceted Search and Browse experience for NESCent's DSpace repository, Dryad. DSpace Discovery is a modular Add-on for DSpace XMLUI that replaces DSpace search and browse with Solr. The implementation of Discovery's Services utilize the DSpace Services API originally developed for DSpace 2.0 and back-ported for use within the recent release of DSpace 1.6.0. Thus, DSpace Discovery represents the next stage in @mire's DSpace 2.0 development initiative

    A Periodically-Forced Mathematical Model for the Seasonal Dynamics of Malaria in Mosquitoes

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    We describe and analyze a periodically-forced difference equation model for malaria in mosquitoes that captures the effects of seasonality and allows the mosquitoes to feed on a heterogeneous population of hosts. We numerically show the existence of a unique globally asymptotically stable periodic orbit and calculate periodic orbits of field-measurable quantities that measure malaria transmission. We integrate this model with an individual-based stochastic simulation model for malaria in humans to compare the effects of insecticide-treated nets (ITNs) and indoor residual spraying (IRS) in reducing malaria transmission, prevalence, and incidence. We show that ITNs are more effective than IRS in reducing transmission and prevalence though IRS would achieve its maximal effects within 2 years while ITNs would need two mass distribution campaigns over several years to do so. Furthermore, the combination of both interventions is more effective than either intervention alone. However, although these interventions reduce transmission and prevalence, they can lead to increased clinical malaria; and all three malaria indicators return to preintervention levels within 3 years after the interventions are withdraw

    Inflammatory fibroid polyp of the oesophagus

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    BACKGROUND: Inflammatory fibroid polyp of the oesophagus is an uncommon lesion and very rarely it grows rapidly. CASE PRESENTATION: We present the case of a patient with a rapidly growing inflammatory fibroid polyp (IFP) of the oesophagus, which showed up within five months after a normal endoscopy. CONCLUSION: The treatment of IFP is by surgical excision, either open or endoscopic. Laser or other form of ablative treatment like thermo cautery can also be tried

    A Periodically-Forced Mathematical Model for the Seasonal Dynamics of Malaria in Mosquitoes

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    We describe and analyze a periodically-forced difference equation model for malaria in mosquitoes that captures the effects of seasonality and allows the mosquitoes to feed on a heterogeneous population of hosts. We numerically show the existence of a unique globally asymptotically stable periodic orbit and calculate periodic orbits of field-measurable quantities that measure malaria transmission. We integrate this model with an individual-based stochastic simulation model for malaria in humans to compare the effects of insecticide-treated nets (ITNs) and indoor residual spraying (IRS) in reducing malaria transmission, prevalence, and incidence. We show that ITNs are more effective than IRS in reducing transmission and prevalence though IRS would achieve its maximal effects within 2 years while ITNs would need two mass distribution campaigns over several years to do so. Furthermore, the combination of both interventions is more effective than either intervention alone. However, although these interventions reduce transmission and prevalence, they can lead to increased clinical malaria; and all three malaria indicators return to preintervention levels within 3 years after the interventions are withdrawn

    Incorporating genetic selection into individual‐based models of malaria and other infectious diseases

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    Introduction Control strategies for human infections are often investigated using individual‐based models (IBMs) to quantify their impact in terms of mortality, morbidity and impact on transmission. Genetic selection can be incorporated into the IBMs to track the spread of mutations whose origin and spread are driven by the intervention and which subsequently undermine the control strategy; typical examples are mutations which encode drug resistance or diagnosis‐ or vaccine‐escape phenotypes. Methods and results We simulated the spread of malaria drug resistance using the IBM OpenMalaria to investigate how the finite sizes of IBMs require strategies to optimally incorporate genetic selection. We make four recommendations. Firstly, calculate and report the selection coefficients, s, of the advantageous allele as the key genetic parameter. Secondly, use these values of “s” to calculate the wait time until a mutation successfully establishes itself in the pathogen population. Thirdly, identify the inherent limits of the IBM to robustly estimate small selection coefficients. Fourthly, optimize computational efficacy: when “s” is small, fewer replicates of larger IBMs may be more efficient than a larger number of replicates of smaller size. Discussion The OpenMalaria IBM of malaria was an exemplar and the same principles apply to IBMs of other diseases
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