All Outputs (235)

The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment (2018)
Journal Article
Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., …Hardy, A. (2018). The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment. EFSA Journal, 16(1), Article e05122. https://doi.org/10.2903/j.efsa.2018.5122

To meet the general requirement for transparency in EFSA's work, all its scientific assessments must consider uncertainty. Assessments must say clearly and unambiguously what sources of uncertainty have been identified and what is their impact on the... Read More about The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment.

Guidance on Uncertainty Analysis in Scientific Assessments (2018)
Journal Article
Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., …Hardy, A. (2018). Guidance on Uncertainty Analysis in Scientific Assessments. EFSA Journal, 16(1), Article e05123. https://doi.org/10.2903/j.efsa.2018.5123

Uncertainty analysis is the process of identifying limitations in scientific knowledge and evaluating their implications for scientific conclusions. It is therefore relevant in all EFSA's scientific assessments and also necessary, to ensure that the... Read More about Guidance on Uncertainty Analysis in Scientific Assessments.

The Large-scale Coronal Structure of the 2017 August 21 Great American Eclipse: An Assessment of Solar Surface Flux Transport Model Enabled Predictions and Observations (2018)
Journal Article
Nandy, D., Bhowmik, P., Yeates, A. R., Panda, S., Tarafder, R., & Dash, S. (2018). The Large-scale Coronal Structure of the 2017 August 21 Great American Eclipse: An Assessment of Solar Surface Flux Transport Model Enabled Predictions and Observations. Astrophysical Journal, 853(1), Article 72. https://doi.org/10.3847/1538-4357/aaa1eb

On 2017 August 21, a total solar eclipse swept across the contiguous United States, providing excellent opportunities for diagnostics of the Sun's corona. The Sun's coronal structure is notoriously difficult to observe except during solar eclipses; t... Read More about The Large-scale Coronal Structure of the 2017 August 21 Great American Eclipse: An Assessment of Solar Surface Flux Transport Model Enabled Predictions and Observations.

Convergence of Continuous Stochastic Processes on Compact Metric Spaces Converging in the Lipschitz Distance (2018)
Journal Article
Suzuki, K. (2019). Convergence of Continuous Stochastic Processes on Compact Metric Spaces Converging in the Lipschitz Distance. Potential Analysis, 50(2), 197-219. https://doi.org/10.1007/s11118-018-9679-5

The Glitches and Rotational History of the Highly Energetic Young Pulsar PSR J0537–6910 (2018)
Journal Article
Ferdman, R., Archibald, R., Gourgouliatos, K., & Kaspi, V. (2018). The Glitches and Rotational History of the Highly Energetic Young Pulsar PSR J0537–6910. Astrophysical Journal, 852(2), Article 123. https://doi.org/10.3847/1538-4357/aaa198

We present a timing and glitch analysis of the young X-ray pulsar PSR J0537−6910, located within the Large Magellanic Cloud, using 13 yr of data from the now-decommissioned Rossi X-ray Timing Explorer. Rotating with a spin period of 16 ms, PSR J0537−... Read More about The Glitches and Rotational History of the Highly Energetic Young Pulsar PSR J0537–6910.

A Breakout Model for Solar Coronal Jets with Filaments (2018)
Journal Article
Wyper, P., DeVore, C., & Antiochos, S. (2018). A Breakout Model for Solar Coronal Jets with Filaments. Astrophysical Journal, 852(2), Article 98. https://doi.org/10.3847/1538-4357/aa9ffc

Recent observations have revealed that many solar coronal jets involve the eruption of miniature versions of large-scale filaments. Such "mini-filaments" are observed to form along the polarity inversion lines of strong, magnetically bipolar regions... Read More about A Breakout Model for Solar Coronal Jets with Filaments.

A characterization of linearly repetitive cut and project sets (2018)
Journal Article
Haynes, A., Koivusalo, H., & Walton, J. (2018). A characterization of linearly repetitive cut and project sets. Nonlinearity, 31(2), Article 515. https://doi.org/10.1088/1361-6544/aa9528

For the development of a mathematical theory which can be used to rigorously investigate physical properties of quasicrystals, it is necessary to understand regularity of patterns in special classes of aperiodic point sets in Euclidean space. In one... Read More about A characterization of linearly repetitive cut and project sets.

Quantum Gravity from Conformal Field Theory (2018)
Journal Article
Aprile, F., Drummond, J., Heslop, P., & Paul, H. (2018). Quantum Gravity from Conformal Field Theory. Monthly Notices of the Royal Astronomical Society, 2018, Article 35. https://doi.org/10.1007/jhep01%282018%29035

We bootstrap loop corrections to AdS5 supergravity amplitudes by enforcing the consistency of the known classical results with the operator product expansion of NN = 4 super Yang-Mills theory. In particular this yields much new information on the spe... Read More about Quantum Gravity from Conformal Field Theory.

Validation of Three Postoperative Risk Prediction Models for Intensive Care Unit Mortality after Cardiac Surgery (2018)
Journal Article
Grant, S., Venkateswaran, R., Malagon, I., Goldstein, M., McCollum, C., Caiado, C., & Howitt, S. (2018). Validation of Three Postoperative Risk Prediction Models for Intensive Care Unit Mortality after Cardiac Surgery. Thoracic and Cardiovascular Surgeon, 66(8), 651-660. https://doi.org/10.1055/s-0037-1608897

Background: Several cardiac surgery risk prediction models based on postoperative data have been developed. However, unlike preoperative cardiac surgery risk prediction models, postoperative models are rarely externally validated or utilized by clini... Read More about Validation of Three Postoperative Risk Prediction Models for Intensive Care Unit Mortality after Cardiac Surgery.

Rings on strings in excitable media (2018)
Journal Article
Maucher, F., & Sutcliffe, P. (2018). Rings on strings in excitable media. Journal of Physics A: Mathematical and Theoretical, 51(5), Article 055102. https://doi.org/10.1088/1751-8121/aaa1ba

We study the dynamics and interaction of coaxial vortex rings in the FitzHugh–Nagumo excitable medium. We find that threading vortex rings with a vortex string results in significant qualitative differences in their evolution and interaction. In part... Read More about Rings on strings in excitable media.

Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters (2018)
Journal Article
Harvey, N. J., Huntley, N., Dacre, H. F., Goldstein, M., Thomson, D., & Webster, H. (2018). Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters. Natural Hazards and Earth System Sciences, 18(1), 41-63. https://doi.org/10.5194/nhess-18-41-2018

Following the disruption to European airspace caused by the eruption of Eyjafjallajökull in 2010 there has been a move towards producing quantitative predictions of volcanic ash concentration using volcanic ash transport and dispersion simulators. Ho... Read More about Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters.

Bayesian uncertainty analysis establishes the link between the parameter space of a complex model of hormonal crosstalk in Arabidopsis root development and experimental measurements [preprint] (2018)
Journal Article
Jackson, S. E., Vernon, I., Liu, J., & Lindsey, K. Bayesian uncertainty analysis establishes the link between the parameter space of a complex model of hormonal crosstalk in Arabidopsis root development and experimental measurements [preprint]. Manuscript submitted for publication

Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions (2018)
Journal Article
Vernon, I., Liu, J., Goldstein, M., Rowe, J., Topping, J., & Lindsey, K. (2018). Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions. BMC systems biology, 12, Article 1. https://doi.org/10.1186/s12918-017-0484-3

Many mathematical models have now been employed across every area of systems biology. These models increasingly involve large numbers of unknown parameters, have complex structure which can result in substantial evaluation time relative to the needs... Read More about Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions.

Uncertainty Analysis for Heavy Simulations of Galaxy Formation (2018)
Journal Article
Vernon, I. (2018). Uncertainty Analysis for Heavy Simulations of Galaxy Formation

Extremely complex simulations of the universe are now being performed in order to study galaxy formation. The responsible use of such simulations presents a huge challenge as it requires a comprehensive uncertainty analysis: a seemingly impossible ta... Read More about Uncertainty Analysis for Heavy Simulations of Galaxy Formation.

Probing the accuracy and precision of Hirshfeld atom refinement with HARt interfaced with Olex2 (2018)
Journal Article
Fugel, M., Jayatilaka, D., Hupf, E., Overgaard, J., Hathwar, V. R., Macchi, P., …Grabowsky, S. (2018). Probing the accuracy and precision of Hirshfeld atom refinement with HARt interfaced with Olex2. IUCrJ, 5(1), 32-44. https://doi.org/10.1107/s2052252517015548

Hirshfeld atom refinement (HAR) is a novel X-ray structure refinement technique that employs aspherical atomic scattering factors obtained from stockholder partitioning of a theoretically determined tailor-made static electron density. HAR overcomes... Read More about Probing the accuracy and precision of Hirshfeld atom refinement with HARt interfaced with Olex2.