Non-Markovian stochastic epidemics in extremely heterogeneous populations

A feature often observed in epidemiological networks is significant heterogeneity in degree. A popular modelling approach to this has been to consider large populations with highly heterogeneous discrete contact rates. This paper defines an individual-level non-Markovian stochastic process that converges on standard ODE models of such populations in the appropriate asymptotic limit. A generalised Sellke construction is derived for this model, and this is then used to consider final outcomes in the case where heterogeneity follows a truncated Zipf distribution.Comment: 10 pages, 1 figur

The High Cost of Wisconsin's Dropout Rate

Outlines the scope of the high school dropout problem in Wisconsin and dropouts' risk of unemployment, health problems, and incarceration. Estimates costs to the state through reduced tax revenues, increased Medicaid costs, and high incarceration rates

Life sciences flight experiments program, life sciences project division, procurement quality provisions

Methods are defined for implementing quality assurance policy and requirements for life sciences laboratory equipment, experimental hardware, integration and test support equipment, and integrated payloads

Brass Art: A house within a house within a house within a house

Performances from Brass Art (Lewis, Mojsiewicz, Pettican), captured at the Freud Museum, London, using Kinect laser scanning and Processing, reveal an intimate response to spaces and technologies. ‘A house within a house within a house within a house’ links historical and cultural representations of the double, the unconscious and the uncanny to this artistic practice. The new moving-image and sonic works form part of a larger project to inhabit the writing rooms of influential authors, entitled ‘Shadow Worlds | Writers’ Rooms’

A Method for the Perceptual Optimization of Complex Visualizations

A common problem in visualization applications is the display of one surface overlying another. Unfortunately, it is extremely difficult to do this clearly and effectively. Stereoscopic viewing can help, but in order for us to be able to see both surfaces simultaneously, they must be textured, and the top surface must be made partially transparent. There is also abundant evidence that all textures are not equal in helping to reveal surface shape, but there are no general guidelines describing the best set of textures to be used in this way. What makes the problem difficult to perceptually optimize is that there are a great many variables involved. Both foreground and background textures must be specified in terms of their component colors, texture element shapes, distributions, and sizes. Also to be specified is the degree of transparency for the foreground texture components. Here we report on a novel approach to creating perceptually optimal solutions to complex visualization problems and we apply it to the overlapping surface problem as a test case. Our approach is a three-stage process. In the first stage we create a parameterized method for specifying a foreground and background pair of textures. In the second stage a genetic algorithm is applied to a population of texture pairs using subject judgments as a selection criterion. Over many trials effective texture pairs evolve. The third stage involves characterizing and generalizing the examples of effective textures. We detail this process and present some early results

Newsletter / House of Finance, Goethe-Universität Frankfurt 3/09

Credit Rating Announcements – The Impact of the Agency’s Reason, Public Information, and M&A ; Toward a New European Financial Architecture in the Rating Sector – an Economic Analysis and Legal Solutions ; Where Finance Meets Macro ; Clear Enforcement rules for the Stability and Growth Pac