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

Newsletter / House of Finance, Goethe-Universität Frankfurt 1/11

Editorial: Michael Heise : The Chief Economist of Allianz SE about the economic outlook for 2011 Research Finance: Andreas Hackethal, Utpal Bhattacharya, Benjamin Loos, Simon Kaesler, Steffen Meyer : "Unbiased Financial Advice – Wanted but not Followed" Research Law: Katja Langenbucher : "Insider Trading in Europe" Research Money/Macro: Thomas Laubach, Michael U. Krause, Matthias Hoffmann : "Long-Run Growth Expectations and Current Account Balances" Policy Platform: Heinz Hilgert, Jan Pieter Krahnen, Günther Merl, Helmut Siekmann : "Proposal for a Reorganisation of the German Landesbanks and Savings Banks Sector" Interview: Viral V. Acharya : "The Dodd-Frank Act Leaves a Lot to be Desired

Presidential Succession Act of 2003

A proposed bill to enable the President to select a successor in the case that both the President and Vice President are unable to serve. This proposed bill requires the President to submit the presidential succession list, with either the Speaker of the House of Representatives or the office of the Minority Leader of the House as the office designated as the highest on the presidential succession list and either the Office of the Majority Leader of the Senate or the office of the Minority Leader of the Senate as next highest on the list.https://ir.lawnet.fordham.edu/twentyfifth_amendment_congressionalmaterials_ppsl/1007/thumbnail.jp

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