205 research outputs found

    The role of linked data and the semantic web in building operation

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    Effective Decision Support Systems (DSS) for building service managers require adequate performance data from many building data silos in order to deliver a complete view of building performance. Current performance analysis techniques tend to focus on a limited number of data sources, such as BMS measured data (temperature, humidity, C02), excluding a wealth of other data sources increasingly available in the modern building, including weather data, occupant feedback, mobile sensors & feedback systems, schedule information, equipment usage information. This paper investigates the potential for using Linked Data and Semantic Web technologies to improve interoperability across AEC domains, overcoming many of the roadblocks hindering information transfer currently

    Is news related to GDP growth a risk factor for commodity futures returns?

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    Expectations about future economic activity should theoretically affect the demand for inventory holdings and therefore commodity spot and futures prices. Consistent with these predictions, we find that news related to future GDP growth is a significant factor that is priced in the cross-section of commodity futures sorted by percentage net basis. The latter is highly correlated with inventories. In particular, it establishes that commodity futures with high inventory levels provide a hedge against risk associated with future GDP growth so that investors are willing to accept lower return. By contrast, those commodity futures with low inventory levels are inversely related to the GDP-related factor so that investors require a higher return. Such results suggest that commodity futures excess returns are a compensation for risk

    Development and Application of Strategies to Generate Bacteriophage Resistant Strains for Use in Milk Fermentation Processes

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    End of Project ReportThe objectives of this project were firstly, the identification of natural phage resistance systems for exploitation, secondly, the development of methodologies to utilise these systems to improve the bacteriophage resistance of starter strains for use in milk fermentation processes, and thirdly, the actual application of these methodologies to improving starter strains. The main conclusions were as follows: Three new natural plasmid (DNA)-associated bacteriophage resistance systems were identified at Moorepark. The detailed genetic makeup of the phage resistance plasmid (pMRC01) was elucidated. Bacteriophages currently evolving in the industrial cheese-making environment were monitored to facilitate the judicious choice of phage resistance systems for use in commercial starter cultures which can more effectively target the documented problematic phage types. Two highly virulent phages targeting important cheese starters were identified in the industrial cheese-making environment. A reliable food-grade method to facilitate the transfer of phage resistance systems to cheese-making starter strains was developed. This is based on bacteriocin immunity-linked phage resistance. Phage resistant cheese starter cultures were developed through natural selection and by molecular manipulation using phage resistance plasmids. The phage resistance plasmid pMRC01 was introduced to 31 cheese starter strains.Department of Agriculture, Food and the Marin

    Spatial methods for event reconstruction in CLEAN

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    In CLEAN (Cryogenic Low Energy Astrophysics with Noble gases), a proposed neutrino and dark matter detector, background discrimination is possible if one can determine the location of an ionizing radiation event with high accuracy. We simulate ionizing radiation events that produce multiple scintillation photons within a spherical detection volume filled with liquid neon. We estimate the radial location of a particular ionizing radiation event based on the observed count data corresponding to that event. The count data are collected by detectors mounted at the spherical boundary of the detection volume. We neglect absorption, but account for Rayleigh scattering. To account for wavelength-shifting of the scintillation light, we assume that photons are absorbed and re-emitted at the detectors. Here, we develop spatial Maximum Likelihood methods for event reconstruction, and study their performance in computer simulation experiments. We also study a method based on the centroid of the observed count data. We calibrate our estimates based on training data

    GOES-17 Advanced Baseline Imager Performance Recovery Summary

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    The 17th Geostationary Operational Environmental Satellite (GOES-17) was launched on 1 March 2018. The Advanced Baseline Imager (ABI) is the primary instrument on the GOES-R series for weather and environmental monitoring. The GOES-17 ABI (flight model 2) experienced a degradation in its thermal system that limits ABI's ability to shed solar heat load. This limitation resulted in significant reduction in performance after initial turn on with only 3 of 16 spectral channels expected to be available for much of the year. A combined government/vendor team was tasked with optimizing the operation of ABI to recapture as much performance as possible. By modifying the operational configuration and sensor parameters, the team was able to regain over 97% imaging capability.This was accomplished by taking advantage of the considerably flexible nature of ABI's design to adapt its configuration to the new reality and improve capabilities for many of ABI's subsystems. The significant differences in operational configuration, sensor parameter optimization, and algorithm optimization will be discussed as well as their impact on performance and data availability

    Using social media as a tool for business improvement and certification of knowledge workers

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    Summary Business improvement is a hot topic in all business areas. In the last years, the unstoppable emergence of the use of social media by organizations and individuals alike has opened this tool for knowledge networking purposes. In this paper the authors shed some light on how the traditional knowledge management approach has changed to a networked approach of knowledge sharing. Authors also explain how social media is used as a business tool, in particular in Information Technology industry environments. SIMS (ECQA Certified Social Media Networker) is a new qualification which is available from 2013 and is meant to train and certify experts in the use of social media as a business improvement enabler and as a means for knowledge networking in organizational settings

    Drug resistance and viral tropism in HIV-1 subtype C-infected patients in KwaZulu-Natal, South Africa: implications for future treatment options

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    Article approval pendingDrug resistance poses a significant challenge for the successful application of highly active antiretroviral therapy (HAART) globally. Furthermore, emergence of HIV-1 isolates that preferentially use CXCR4 as a coreceptor for cell entry, either as a consequence of natural viral evolution or HAART use, may compromise the efficacy of CCR5 antagonists as alternative antiviral therapy
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