108,879 research outputs found
The effects of heterogeneity on stochastic cycles in epidemics
Models of biological processes are often subject to different sources of
noise. Developing an understanding of the combined effects of different types
of uncertainty is an open challenge. In this paper, we study a variant of the
susceptible-infective-recovered model of epidemic spread, which combines both
agent-to-agent heterogeneity and intrinsic noise. We focus on epidemic cycles,
driven by the stochasticity of infection and recovery events, and study in
detail how heterogeneity in susceptibilities and propensities to pass on the
disease affects these quasi-cycles. While the system can only be described by a
large hierarchical set of equations in the transient regime, we derive a
reduced closed set of equations for population-level quantities in the
stationary regime. We analytically obtain the spectra of quasi-cycles in the
linear-noise approximation. We find that the characteristic frequency of these
cycles is typically determined by population averages of susceptibilities and
infectivities, but that their amplitude depends on higher-order moments of the
heterogeneity. We also investigate the synchronisation properties and phase lag
between different groups of susceptible and infected individuals.Comment: Main text 16 pages, 9 figures. Supplement 5 page
Ocean ensemble forecasting. Part II: Mediterranean Forecast System response
This article analyzes the ocean forecast response to surface vector wind (SVW)
distributions generated by a Bayesian hierarchical model (BHM) developed in Part
I of this series. A new method for ocean ensemble forecasting (OEF), the socalled
BHM-SVW-OEF, is described. BHM-SVW realizations are used to produce
and force perturbations in the ocean state during 14 day analysis and 10 day
forecast cycles of the Mediterranean Forecast System (MFS). The BHM-SVW-OEF
ocean response spread is amplified at the mesoscales and in the pycnocline of
the eddy field. The new method is compared with an ensemble response forced
by European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble
prediction system (EEPS) surface winds, and with an ensemble forecast started from
perturbed initial conditions derived froman ad hoc thermocline intensified random
perturbation (TIRP) method. The EEPS-OEF shows spread on basin scales while the
TIRP-OEF response is mesoscale-intensified as in the BHM-SVW-OEF response.
TIRP-OEF perturbations fill more of the MFS domain, while the BHM-SVW-OEF
perturbations are more location-specific, concentrating ensemble spread at the sites
where the ocean-model response to uncertainty in the surface wind forcing is largest
'Hollow promises?' Critical materialism and the contradictions of the Democratic Peace
© Cambridge University PressThe Democratic Peace research programme explicitly and implicitly presents its claims in terms of their potential to underpin a universal world peace. Yet whilst the Democratic Peace appears robust in its geographical heartlands it appears weaker at the edges of the democratic world, where the spread of democracy and the depth of democratic political development is often limited and where historically many of the purported exceptions to the Democratic Peace are found. Whereas Democratic Peace scholarship has tended to overlook or downplay these phenomena, from a critical materialist perspective they are indicative of a fundamental contradiction within the Democratic Peace whereby its universalistic aspirations are thwarted by its material grounding in a hierarchical capitalist world economy. This, in turn, raises the question of whether liberal arguments for a universal Democratic Peace are in fact hollow promises. The article explores these concerns and argues that those interested in democracy and peace should pay more attention to the critical materialist tradition, which in the discussion below is represented principally by the world-system approach
On the predictability of emerging market sovereign credit spreads
This paper examines the quarter-ahead out-of-sample predictability of Brazil, Mexico, the Philippines and Turkey credit spreads before and after the Lehman Brothers’ default. A model based on the country-specific credit spread curve factors predicts no better than the random walk and slope regression benchmarks. Model extensions with the global yield curve factors and with both global and domestic uncertainty indicators notably outperform both benchmarks post-Lehman. The finding that bond prices better reflect fundamental information after the Lehman Brothers’ failure indicates that this landmark of the recent global financial crisis had wake-up call effects on emerging market bond investors
Data fragmentation for parallel transitive closure strategies
Addresses the problem of fragmenting a relation to make the parallel computation of the transitive closure efficient, based on the disconnection set approach. To better understand this design problem, the authors focus on transportation networks. These are characterized by loosely interconnected clusters of nodes with a high internal connectivity rate. Three requirements that have to be fulfilled by a fragmentation are formulated, and three different fragmentation strategies are presented, each emphasizing one of these requirements. Some test results are presented to show the performance of the various fragmentation strategie
Fractal and multifractal analysis of PET-CT images of metastatic melanoma before and after treatment with ipilimumab
PET/CT with F-18-Fluorodeoxyglucose (FDG) images of patients suffering from
metastatic melanoma have been analysed using fractal and multifractal analysis
to assess the impact of monoclonal antibody ipilimumab treatment with respect
to therapy outcome. Our analysis shows that the fractal dimensions which
describe the tracer dispersion in the body decrease consistently with the
deterioration of the patient therapeutic outcome condition. In 20 out-of 24
cases the fractal analysis results match those of the medical records, while 7
cases are considered as special cases because the patients have non-tumour
related medical conditions or side effects which affect the results. The
decrease in the fractal dimensions with the deterioration of the patient
conditions (in terms of disease progression) are attributed to the hierarchical
localisation of the tracer which accumulates in the affected lesions and does
not spread homogeneously throughout the body. Fractality emerges as a result of
the migration patterns which the malignant cells follow for propagating within
the body (circulatory system, lymphatic system). Analysis of the multifractal
spectrum complements and supports the results of the fractal analysis. In the
kinetic Monte Carlo modelling of the metastatic process a small number of
malignant cells diffuse throughout a fractal medium representing the blood
circulatory network. Along their way the malignant cells engender random
metastases (colonies) with a small probability and, as a result, fractal
spatial distributions of the metastases are formed similar to the ones observed
in the PET/CT images. In conclusion, we propose that fractal and multifractal
analysis has potential application in the quantification of the evaluation of
PET/CT images to monitor the disease evolution as well as the response to
different medical treatments.Comment: 38 pages, 9 figure
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