2,960 research outputs found

    Transferability of e-Portfolios in Education

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    This is a project funded by JISC DELL II and undertaken by Dr Derek Young and Kylie Lipczynski of ESCalate / University of Stirling. The aim of this project is to undertake an investigation of existing e-portfolio models and their use within the field of Education which will: Review existing motivational strategies; Identify alternative implementation models for PDP in Education departments; Explore the potential for cross-fertilisation of models and strategies between Education and other professional disciplines

    tolerance: An R Package for Estimating Tolerance Intervals

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    The tolerance package for R provides a set of functions for estimating and plotting tolerance limits. This package provides a wide-range of functions for estimating discrete and continuous tolerance intervals as well as for estimating regression tolerance intervals. An additional tool of the tolerance package is the plotting capability for the univariate and regression settings as well as for the multivariate normal setting. The tolerance package's capabilities are illustrated using simulated data sets. Formulas used for the estimation procedures are also presented.

    Chiral behavior of baryon magnetic moments

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    The utility of chiral effective field theory, constructed in a manner in which loop contributions are suppressed as one moves outside the power-counting regime, is explored for baryon magnetic moments. Opportunities for the study of significant chiral curvature in valence and full QCD and the nontrivial behavior of strange- and light-quark contributions to the magnetic moment of the Lambda baryon are highlighted.Comment: 7 pages, 5 figures; prepared for the proceedings of Achievements and New Directions in Subatomic Physics: Workshop in Honour of Tony Thomas' 60th Birthda

    Comments on a Major Range Extension of the Little-Known Acrocera bakeri (Diptera: Acroceridae)

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    The spider fly Acrocera bakeri Coquillett, 1904 (Diptera: Acroceridae) is reported as a new state record for Wisconsin. This is a major range extension, because this rarely-encountered species was previously known only from the western U.S., specifically Arizona, California, and Nevada. The taxonomic history of the species is briefly discussed and hypotheses are offered for its unexpected presence in Wisconsin

    A Framework for Incorporating Insurance into Critical Infrastructure Cyber Risk Strategies

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    Critical infrastructure owners and operators want to minimize their cyber risk and expenditures on cybersecurity. The insurance industry has been quantitatively assessing risk for hundreds of years in order to minimize risk and maximize profits. To achieve these goals, insurers continuously gather statistical data to improve their predictions, incentivize their clients\u27 investment in self-protection and periodically refine their models to improve the accuracy of risk estimates. This paper presents a framework which incorporates the operating principles of the insurance industry in order to provide quantitative estimates of cyber risk. The framework implements optimization techniques to suggest levels of investment for both cybersecurity and insurance for critical infrastructure owners and operators. This analysis can be used to quantitatively formulate strategies to minimize cyber risk

    tolerance: An R Package for Estimating Tolerance Intervals

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    The tolerance package for R provides a set of functions for estimating and plotting tolerance limits. This package provides a wide-range of functions for estimating discrete and continuous tolerance intervals as well as for estimating regression tolerance intervals. An additional tool of the tolerance package is the plotting capability for the univariate and regression settings as well as for the multivariate normal setting. The tolerance package's capabilities are illustrated using simulated data sets. Formulas used for the estimation procedures are also presented

    Technoecomonic optimization and working fluid selection for an engine coolant driven turbo-compression cooling system

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    2018 Summer.Includes bibliographical references.The abundance of low grade waste heat presents an opportunity to recover typically unused heat energy and improve system efficiencies in a number of different applications. This work examines the technoeconomic performance of a turbo-compression cooling system designed to recover ultra-low grade (≤ 100°C) waste heat from engine coolant in large marine diesel engine-generator sets. In addition, five different working fluids (R134a, R152a, R245fa, R1234ze(E), and R600a) were studied for this application to better understand the effects of fluid properties on technical and economic system performance. A coupled thermodynamic, heat exchanger, and economic model was developed to calculate the payback period of the turbo-compression cooling system. Then, the payback period was minimized by optimizing the surface area of the heat exchangers by varying the effectiveness of the heat exchangers. The sensitivity of the payback period to the heat exchanger effectiveness values was quantified to inform future design considerations. The turbo-compression cooling system with R152a had the lowest payback period of 1.67 years and an initial investment of 181,846.TheR1234ze(E)systemhadthehighestcoolingcapacityof837kWandthehighestoverallCOPof0.415.TheR152asystemprovidedcoolingfor181,846. The R1234ze(E) system had the highest cooling capacity of 837 kW and the highest overall COP of 0.415. The R152a system provided cooling for 0.0060 per kWh which was nearly 10 times cheaper than the cost of cooling provided by a traditional electrically driven vapor compression system onboard a marine vessel

    Chiral effective field theory beyond the power-counting regime

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    Novel techniques are presented, which identify the chiral power-counting regime (PCR), and realize the existence of an intrinsic energy scale embedded in lattice QCD results that extend outside the PCR. The nucleon mass is considered as a benchmark for illustrating this new approach. Using finite-range regularization, an optimal regularization scale can be extracted from lattice simulation results by analyzing the renormalization of the low energy coefficients. The optimal scale allows a description of lattice simulation results that extend beyond the PCR by quantifying and thus handling any scheme-dependence. Preliminary results for the nucleon magnetic moment are also examined, and a consistent optimal regularization scale is obtained. This indicates the existence of an intrinsic scale corresponding to the finite size of the source of the pion cloud.Comment: 6 pages, 4 figures, conferenc
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