63 research outputs found

    Enhancing Statistics: Google Analytics and Visualization APIs

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    Usage statistics have been an important topic in the repository community for some time. From Minho's DSpace additions, through Interoperable Repository Statistics, to @mire's Solr based contribution do DSpace 1.6, there have been many approaches to providing statistics. One technique that has been used in a few places is to set up a Google Analytics account. These have several advantages - free, independent of repository (and it's architecture), proven scalability, excellent tools for visualizing the data. But it has historically had its problems too - doesn't understand the structure of the repository (for displaying totals or top views/downloads for an arbitrary grouping of the content), doesn't track downloads without additional work (or those directly linked from search engines), and the reports are locked behind an authentication wall and can't be opened up to general repository users. With the [April 2009] release of an API to retrieve data from Google Analytics, that has changed. Data that has been calculated in Google Analytics can be pulled back into the repository, so that it can be viewed within context, and by anyone that can access the repository (or not, depending on implementation). This presentation shows how Google Analytics can be integrated with the repository, techniques for capturing data that wouldn't normally be available with Analytics, and making the data comprehensible through visualizations. Whilst the implementation presented here was initially conceived using a DSpace repository, the techniques can be replicated in any repository software. Further, the visualization methods are independent of the analytics data themselves, so can be adapted for other sources of data

    Enhancing Statistics: Google Analytics and Visualization APIs

    Get PDF
    Usage statistics have been an important topic in the repository community for some time. From Minho's DSpace additions, through Interoperable Repository Statistics, to @mire's Solr based contribution do DSpace 1.6, there have been many approaches to providing statistics. One technique that has been used in a few places is to set up a Google Analytics account. These have several advantages - free, independent of repository (and it's architecture), proven scalability, excellent tools for visualizing the data. But it has historically had its problems too - doesn't understand the structure of the repository (for displaying totals or top views/downloads for an arbitrary grouping of the content), doesn't track downloads without additional work (or those directly linked from search engines), and the reports are locked behind an authentication wall and can't be opened up to general repository users. With the [April 2009] release of an API to retrieve data from Google Analytics, that has changed. Data that has been calculated in Google Analytics can be pulled back into the repository, so that it can be viewed within context, and by anyone that can access the repository (or not, depending on implementation). This presentation shows how Google Analytics can be integrated with the repository, techniques for capturing data that wouldn't normally be available with Analytics, and making the data comprehensible through visualizations. Whilst the implementation presented here was initially conceived using a DSpace repository, the techniques can be replicated in any repository software. Further, the visualization methods are independent of the analytics data themselves, so can be adapted for other sources of data

    Integrating an Institutional CRIS with an OA IR

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    Poster describing and illustrating work undertaken by ULCC and Symplectic to integrate an existing Symplectic Elements Current Research Information System with a new externally available EPrints Open Access repository, including support for harvesting full-text from UK PubMed Central

    Resonant Grating Surfaces for Biosensing

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    Optical biosensors make up a valuable toolkit for label-free biosensing. This thesis presents a detailed study on resonant grating surfaces for biosensing. The focus is on silicon nitride gratings, which exhibit a guided-mode resonance that is highly sensitive to refractive index variations in the vicinity of the grating. A sensitivity of 143 nm/RIU (refractive index units) is measured, leading to a detection limit of 2.4×10−4 RIU. This performance is shown to be sufficient for the detection of biomolecular binding down to ng/mL concentrations. With out-of-plane excitation, these gratings can be used as a sensing surface, enabling a spatially-resolved measurement of variations in refractive index; resonance imaging. The minimum detection distance (sensing depth) is measured to be 183 nm away from the grat- ing, while the spatial resolution of resonance imaging is found to be asymmetric: 2 μm parallel to, or 6 μm perpendicular to the gratings. Using a novel approach of fabricating a resolution test pattern on top of the grating, the relationship between resolution and index contrast is studied - an important question in the context of biosensing - where it is found to decrease with index contrast. All experimental results are supplemented with theoretical and computational models. The resonant gratings are then extensively applied to the study of biofilm development, cellular imaging, and the imaging of cellular secretion. Finally, a miniaturised biosensor is demonstrated, based on a chirped resonant grating. By tuning the resonance wavelength spatially on the chip, the resonance information is directly translated into spatial informa- tion. Instrument read-out requires just a monochromatic light source and a simple CCD camera, resulting in a final device that is inexpensive, compact, robust and can be remotely operated. Performance is proven with successful detection of biomolecular binding

    Vitro - ein universell einsetzbarer Editor für Ontologien und Instanzen

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    In diesem Artikel wird die Open-Source-Software Vitro beschrieben. Vitro ist ein universeller Instanz- und Ontologie-Editor, der hauptsächlich von der VIVO-Community entwickelt und gepflegt wird. Es wird ein Überblick über die Hauptmerkmale der Software geschaffen. Dann werden verschiedene Anwendungen der Software beispielhaft erläutert. Der Artikel schließt mit einem Ausblick auf zukünftige Anwendungsfälle und Entwicklungen von Vitro

    Integrating true multilingual capabilities into an Institutional Repository : Building the World Health Organization's Institutional Repository for Information Sharing

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    Introduction In a global context, how do we facilitate the dissemination and access if the material in a repository is primarily searchable and retrievable in only in one or two languages? It has been observed that there is much research and public health guidelines that goes unknown to large numbers of researchers, health workers and to the general public when they are only able to access in one language or another. How do we promote integration of various information sources in an international organization with 147 country offices, six regional offices and one headquarters, and with material being published in 6 official languages and 53 non-official languages? Research ethics should start considering, at design stage, the outreach of methods used and results obtained beyond the boundaries of the research language. Access to information in as many languages as possible should become a major component of any accessibilityrelated debate

    Integrating true multilingual capabilities into an Institutional Repository : Building the World Health Organization's Institutional Repository for Information Sharing

    Get PDF
    Introduction In a global context, how do we facilitate the dissemination and access if the material in a repository is primarily searchable and retrievable in only in one or two languages? It has been observed that there is much research and public health guidelines that goes unknown to large numbers of researchers, health workers and to the general public when they are only able to access in one language or another. How do we promote integration of various information sources in an international organization with 147 country offices, six regional offices and one headquarters, and with material being published in 6 official languages and 53 non-official languages? Research ethics should start considering, at design stage, the outreach of methods used and results obtained beyond the boundaries of the research language. Access to information in as many languages as possible should become a major component of any accessibilityrelated debate

    Chirped guided-mode resonance biosensor

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    Advanced biomedical diagnostic technologies fulfill an important role in improving health and well-being in society. A large number of excellent technologies have already been introduced and have given rise to the "lab-on-a-chip" paradigm. Most of these technologies, however, require additional instrumentation for interfacing and readout, so they are often confined to the laboratory and are not suitable for use in the field or in wider clinical practice. Other technologies require a light coupling element, such as a grating coupler or a fiber coupler, which complicates packaging. Here, we introduce a novel biosensor based on a chirped guided-mode resonant grating. The chirped grating combines the sensing function with the readout function by translating spectral information into spatial information that is easily read out with a simple CMOS camera. We demonstrate a refractive index sensitivity of 137 nm/RIU and an extrapolated limit of detection of 267 pM for the specific binding of an immunoglobulin G antibody. The chirped guided-mode resonance approach introduces a new degree of freedom for sensing biomedical information that combines high sensitivity with autonomous operation. We estimate that the cost of components is U.S. $10 or less when mass manufactured, so the technology has the potential to truly transform point-of-care applications

    Chirped guided-mode resonance biosensor

    Get PDF
    Advanced biomedical diagnostic technologies fulfill an important role in improving health and well-being in society. A large number of excellent technologies have already been introduced and have given rise to the "lab-on-a-chip" paradigm. Most of these technologies, however, require additional instrumentation for interfacing and readout, so they are often confined to the laboratory and are not suitable for use in the field or in wider clinical practice. Other technologies require a light coupling element, such as a grating coupler or a fiber coupler, which complicates packaging. Here, we introduce a novel biosensor based on a chirped guided-mode resonant grating. The chirped grating combines the sensing function with the readout function by translating spectral information into spatial information that is easily read out with a simple CMOS camera. We demonstrate a refractive index sensitivity of 137 nm/RIU and an extrapolated limit of detection of 267 pM for the specific binding of an immunoglobulin G antibody. The chirped guided-mode resonance approach introduces a new degree of freedom for sensing biomedical information that combines high sensitivity with autonomous operation. We estimate that the cost of components is U.S. $10 or less when mass manufactured, so the technology has the potential to truly transform point-of-care applications
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