541 research outputs found

    Network-state dependent effects in naming and learning

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    Joshua Payne in a Senior Baritone Recital

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    This is the program for the senior baritone recital of Joshua Payne. Mr. Payne was accompanied on the piano by Erica McClellan. He was also assisted by soprano Ashley Mitchell, tenor Jon Secrest, and tenor Mark Simmons. This recital took place on April 26, 1999, in the McBeth Recital Hall in the Mabee Fine Arts Center

    125th and Amsterdam: Creating Spaces for Social Interaction

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    This Project is designed to address the negative aspects of gentrification in an urban context, specifically Harlem, NYC. This is relevant to the current situation in Harlem as 125th Street, its main corridor, is being revitalized and wealthy investors are buying property in the area. Through sitting, programming and integrated design, my goal is to relieve the tension between two drastically different socioeconomic neighborhoods as they are becoming one

    Direct, physically-motivated derivation of the contagion condition for spreading processes on generalized random networks

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    For a broad range single-seed contagion processes acting on generalized random networks, we derive a unifying analytic expression for the possibility of global spreading events in a straightforward, physically intuitive fashion. Our reasoning lays bare a direct mechanical understanding of an archetypal spreading phenomena that is not evident in circuitous extant mathematical approaches.Comment: 4 pages, 1 figure, 1 tabl

    Exact solutions for social and biological contagion models on mixed directed and undirected, degree-correlated random networks

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    We derive analytic expressions for the possibility, probability, and expected size of global spreading events starting from a single infected seed for a broad collection of contagion processes acting on random networks with both directed and undirected edges and arbitrary degree-degree correlations. Our work extends previous theoretical developments for the undirected case, and we provide numerical support for our findings by investigating an example class of networks for which we are able to obtain closed-form expressions.Comment: 10 pages, 3 figure

    Joshua Payne in a Sophomore Recital

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    This is the program for the sophomore voice recital of baritone Joshua Payne, accompanied by Terri Lucas on the piano. The recital was held on November 22, 1996, in the McBeth Recital Hall

    Joshua Payne in a Junior Recital

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    This is the program for the junior voice recital of Joshua Payne, accompanied by Cindy Fuller on piano. The recital was held on May 1, 1998, in Mabee Fine Arts Center\u27s McBeth Recital Hall

    Cognitive Barriers to Reducing Income Inequality

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    As economic inequality grows, more people stand to benefit from wealth redistribution. Yet in many countries, increasing inequality has not produced growing support for redistribution, and people often appear to vote against their economic interest. Here we suggest that two cognitive tendencies contribute to these paradoxical voting patterns. First, people gauge their income through social comparison, and those comparisons are usually made to similar others. Second, people are insensitive to large numbers, which leads them to underestimate the gap between themselves and the very wealthy. These two tendencies can help explain why subjective income is normally distributed (therefore most people think they are middle class) and partly explain why many people who would benefit from redistribution oppose it. We support our model’s assumptions using survey data, a controlled experiment, and agent-based modeling. Our model sheds light on the cognitive barriers to reducing inequality

    Complex and dynamic population structures: synthesis, open questions, and future directions

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    The population structure of an evolutionary algorithm influences the dissemination and mixing of advantageous alleles, and therefore affects search performance. Much recent attention has focused on the analysis of complex population structures, characterized by heterogeneous connectivity distributions, non-trivial clustering properties, and degree-degree correlations. Here, we synthesize the results of these recent studies, discuss their limitations, and highlight several open questions regarding (1) unsolved theoretical issues and (2) the practical utility of complex population structures for evolutionary search. In addition, we will discuss an alternative complex population structure that is known to significantly influence dynamical processes, but has yet to be explored for evolutionary optimization. We then shift our attention toward dynamic population structures, which have received markedly less attention than their static counterparts. We will discuss the strengths and limitations of extant techniques and present open theoretical and experimental questions and directions for future research. In particular, we will focus on the prospects of "active linking,” wherein edges are dynamically rewired according to the genotypic or phenotypic properties of individuals, or according to the success of prior inter-individual interaction
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