Prime, Perform, Recover

This thesis examines the formal and conceptual framework of my artistic practice as it culminated in the installation of my thesis exhibition, Prime, Perform, Recover. My exhibition seeks to operate as an analysis and critique of the separation inherent in media presentation and rhetoric surrounding natural disasters. I utilize the aesthetics and vocabulary of disaster capitalism and prepping culture in order to pose direct questions about ecological and social change. I examine the role of images within mass media image production as an all encompassing Now-Time. In this paper I describe frameworks that my practice proposes as potential solutions to these problems, and I position my research in the context of artists and artworks that have influenced me and operate within similar channels as my own

Can Europe recover without credit?

Data from 135 countries covering five decades suggests that creditless recoveries, in which the stock of real credit does not return to the pre-crisis level for three years after the GDP trough, are not rare and are characterised by remarkable real GDP growth rates: 4.7 percent per year in middle-income countries and 3.2 percent per year in high-income countries. However, the implications of these historical episodes for the current European situation are limited, for two main reasons. First, creditless recoveries are much less common in highincome countries, than in low-income countries which are financially undeveloped. European economies heavily depend on bank loans and research suggests that loan supply played a major role in the recent weak credit performance of Europe. There are reasons to believe that, despite various efforts, normal lending has not yet been restored. Limited loan supply could be disruptive for the European economic recovery and there has been only a minor substitution of bank loans with debt securities. Second, creditless recoveries were associated with significant real exchange rate depreciation, which has hardly occurred so far in most of Europe. This stylised fact suggests that it might be difficult to re-establish economic growth in the absence of sizeable real exchange rate depreciation, if credit growth does not return

Information Erasure and Recover in Quantum Memory

We show that information in quantum memory can be erased and recovered perfectly if it is necessary. That the final states of environment are completely determined by the initial states of the system allows that an easure operation can be realized by a swap operation between system and an ancilla. Therefore, the erased information can be recoverd. When there is an irreversible process, e.g. an irreversible operation or a decoherence process, in the erasure process, the information would be erased perpetually. We present that quantum erasure will also give heat dissipation in environment. And a classical limit of quantum erasure is given which coincides with Landauer's erasure principle.Comment: PACS: 0365.Bz. 03.67.Hk;3page

Recover Alaska: Healing Alaska's Alcohol Problems

This article provides an overview of the strategies being implemented by the Recover Alaska initiative in its mission to reduce excessive alcohol use and related harm in Alaska by influencing social norms and perceptions about alcohol use and abuse. Includes a list of online resources.[Introduction] Working with the Media / Alcohol Treatment Resources / Alcohol Policy Advocacy / Evaluation and Measuring Impact / Conclusion / Resource

Recover Fine-Grained Spatial Data from Coarse Aggregation

In this paper, we study a new type of spatial sparse recovery problem, that is to infer the fine-grained spatial distribution of certain density data in a region only based on the aggregate observations recorded for each of its subregions. One typical example of this spatial sparse recovery problem is to infer spatial distribution of cellphone activities based on aggregate mobile traffic volumes observed at sparsely scattered base stations. We propose a novel Constrained Spatial Smoothing (CSS) approach, which exploits the local continuity that exists in many types of spatial data to perform sparse recovery via finite-element methods, while enforcing the aggregated observation constraints through an innovative use of the ADMM algorithm. We also improve the approach to further utilize additional geographical attributes. Extensive evaluations based on a large dataset of phone call records and a demographical dataset from the city of Milan show that our approach significantly outperforms various state-of-the-art approaches, including Spatial Spline Regression (SSR).Comment: Accepted by ICDM 2017, 6 page

Using Perturbative Least Action to Recover Cosmological Initial Conditions

We introduce a new method for generating initial conditions consistent with highly nonlinear observations of density and velocity fields. Using a variant of the Least Action method, called Perturbative Least Action (PLA), we show that it is possible to generate several different sets of initial conditions, each of which will satisfy a set of highly nonlinear observational constraints at the present day. We then discuss a code written to test and apply this method and present the results of several simulations.Comment: 24 pages, 6 postscript figures. Accepted for publication in Astrophysical Journa