Kevin Schmidmayer (6944975), Prashant Kumar (119326), Pascal Lavieille (6944978) et al. · Figshare · 2019
<p>Instantaneous fields: (a) velocity field in a given corrugation, (b) velocity and (c) temperature fields in the symmetry plane. Δ<i>P</i><sub><i>s</i></sub> = −50<i>Pa</i>, <i>f</i><sub><i>r</i></sub> = 50<i>Hz</i> and <i>A</i> = 90%.</p>
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William J. Hall, David Oakes · 2023
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Philip Black, Michael Martin, Robert Phillips et al. · 2024
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Scriba, Carl-Heinz · 1994
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Sam Tepperman-Gelfant · Columbia University Press eBooks · 2018
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Elisabetta Iavarone (6668144), Jane Yi (6708146), Ying Shi (115282) et al. · Figshare · 2019
<p>(A) Sensitivity of the feature values to small changes to the parameter values for the cNAD_ltb model in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006753#pcbi.1006753.g004" target="_blank">Fig 4</a>. Sensitivities (Δy/Δp) are color coded as a heat map. Features are ranked from the most to the least sensitive and parameters are ranked from the most to the least influential. The last three rows are features that ensure that the models were not firing without input or in the response to the holding current. Small changes to the parameter values are not expected to make the model firing and thus the sensitivity of these features is 0. (B) Same sensitivity values as in (A), with features and parameters clustered by similar sensitivity and influences.</p>
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Michel Ferreira, Luı́s Damas · Lecture notes in computer science · 2002
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Melissa M. Stadt (14285383), Jessica Leete (14285386), Sophia Devinyak (14285389) et al. · Figshare · 2022
<p>Percent changes in baseline model steady state solution for plasma K<sup>+</sup> concentration (K<sub>plasma</sub>) and intracellular K<sup>+</sup> concentration (K<sub>IC</sub>) in response to a perturbation of 10% increase of the given parameter value.</p>
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Nicklas Guldåker, Tuija Nieminen Kristofersson, Kerstin Eriksson · Lund University Publications (Lund University) · 2012
Two storms in Sweden 2005 and 2007 clarified both professional crisis managers and citizens' ability to respond to the consequences. These events created an awareness of the vulnerability of society, especially in rural areas. Emergent Citizen Groups (ECG) conducted initially a large part of crisis management, such as clearing roads, supporting exposed neighbors and repairing power lines in collaboration with power companies. As a result of these events some local ECG groups continued to work on risk prevention. This paper has two aims, firstly to emphasize the importance of ECGs during and after severe events such as the storms Gudrun and Per, second to describe and analyze a local emergent citizen group’s work on the prevention of local risk and vulnerability, in this case with regard to flood prevention. The results indicate that the emergent groups' concerns about local risks are not always understood by professional emergency managers and other authorities. There is also a lack of experience and capacities of authorities to collaborate with and support the ECG’s risk and vulnerability reduction work. Bureaucratic barriers and declining motivations among volunteers within the ECG’s could undermine commitment to the prevention of local risks.
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Read, T., Oldfield, D., Home Office, London (United Kingdom). Police Research Group · OpenGrey (Institut de l'Information Scientifique et Technique) · 1995
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Sophie E. Seidenbecher (9454842), Joshua I. Sanders (9454845), Anne C. von Philipsborn (9454848) et al. · Figshare · 2020
<p><b>A</b> Top row: Turns, as a proxy for local search, (binned) in time since trial start for 30, 60 and 100/0% conditions. Middle row: histogram of temporal turn distribution. Solid drawn curve corresponds to rewarded trials (top row) and dashed curve corresponds to unstimulated trials (bottom row). Bottom row: turns in time since trial start for unstimulated trials. <b>B</b> Top row: returns on rewarded trials in time since trial start for the same fly populations. Middle row: histogram of returns. Solid curve: stimulated returns, dashed curve: unstimulated returns. Bottom row: Unstimulated returns. <b>C</b> Polar plots of angular distributions of walking traces in the reset zone, for 30%, 60%, 100% populations and unstimulated controls (clockwise). Solid lines: rewarded trials, dashed lines: unrewarded trials. (****: p < 0.0001, two-way Kolmogorov-Smirnoff test.) <b>D</b> Comparison of return location (maximum position of a trial) for 5 and 15% single and double sided condition fly populations. Double sided cases have rewards in both zones and thus returns to both zones are separated.</p> <p>(PDF)</p>
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Xiaobo Zhou, Henry Lin · Encyclopedia of GIS · 2016
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Pierre‐André Cornillon, Robert Sabatier · Studies in classification, data analysis, and knowledge organization · 1998
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SARTORI, NICOLA · ARCA (Università Ca' Foscari Venezia) · 2006
Statistical analyses are usually based on models. However, a model is almost always only an approx- imate description of more complicated processes and hence it is always wrong. Given this inexactness, it is important to study the variation in inference results under modifications of model formulation. In general, we may think of influence analysis as a set of methods for assessing the sensitivity of inferences to perturbations in the data or the model. In particular, the local influence analysis con- siders changes in the log-likelihood scale as measures to evaluate influential perturbations and the analysis is local because such changes are examined locally, in a small neighborhood of the assumed, unperturbed, model.
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Zhiyuan Yu (2328220), Tiffany Luong (398294), Selenne Banuelos (20114021) et al. · Figshare · 2024
<div><p>Bacteriophage (phage) cocktail therapy has been relied upon more and more to treat antibiotic-resistant infections. Understanding of the complex kinetics between phages, target bacteria, and the emergence of phage resistance remain hurdles to successful clinical outcomes. Building upon previous mathematical concepts, we develop biologically-motivated nonlinear ordinary differential equation models to explore single, cocktail, and sequential phage treatment modalities. While the optimal pairwise phage treatment strategy was the double simultaneous administration of two highly potent and asymmetrically binding phage strains, it appears unable to prevent the evolution of resistance. This treatment regimen did have a greater lysis efficiency, promoted higher phage population sizes, reduced bacterial density the most, and suppressed the evolution of resistance the longest compared to all other treatments strategies tested. Conversely, the combination of phages with polar potencies allows the more efficiently replicating phages to monopolize susceptible host cells, thereby quickly negating the intended compounding effect of cocktails. Together, we demonstrate that a biologically-motivated modeling-based framework can be leveraged to quantify the effects of each phage’s properties to more precisely predict treatment responses.</p></div>
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Julien Barral, Arnaud Durand, Stéphane Jaffard et al. · Contemporary mathematics - American Mathematical Society · 2013
We introduce a local multifractal formalism adapted to functions, measures or distributions which display multifractal characteristics that can change with time, or location. We develop this formalism in a general framework and we work out several examples of measures and functions where this setting is relevant.
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Felipe Cucker, Térésa Krick · Journal of Complexity · 2019
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Felipe Cucker, Térésa Krick · arXiv (Cornell University) · 2019
We extend to Gaussian distributions a result providing smoothed analysis estimates for condition numbers given as relativized distances to illposedness. We also introduce a notion of local analysis meant to capture the behavior of these condition numbers around a point.
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FGAO UVO ", V.V. Gorlov, M.G. Romanenko · 2020
The article presents an review and analysis of local servers: Denwer, OpenServer and XAMPPUSB Lite, the advantages and disadvantages are identified. The capabilities and basic components were analyzed, and local servers were tested.
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Julien Barral, Arnaud Durand, Stéphane Jaffard et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2012
We introduce a local multifractal formalism adapted to functions, measures or distributions which display multifractal characteristics that can change with time, or location. We develop this formalism in a general framework and we work out several examples of measures and functions where this setting is relevant.
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