African American male youth: An urban ethnography of race, space & place

Student migration within U.S. urban school districts is now a central feature of policies that promote school choice to access a quality education. Policymakers also support the value of diversity in public schools, even as educational policies and legal decisions that redress racial inequities have receded into the political background. This paper draws from a four-year ethnography (2007-2011) to explore the intersections of race and the geography of school opportunity, and their impact on 15 African American male youth who leave their neighborhoods to participate in a diversity initiative [DI] at an elite public high school in Chicago. The ethnography conveys the visible and often invisible borders of race and place and the impact on youth\u27s perceptual cartographies of the spaces in which their daily lives occur. As the issue of social inclusion gains salience, not only in U.S. cities, but also in cities everywhere, the relevance of these processes and their impact on disadvantaged groups are important to understand. (DIPF/Orig.

“The Past Is Not Prologue”Educational Achievements of Young Adults

As global competition intensifies; college education has become a necessary tool for young adults to succeed. In this study, a mixed method approach was used (the NLSY survey, supplemented with qualitative interviews of seven education professionals) to identify the supportive resources needed by young adults to overcome the risks they faced as they aspired to complete high school and actualized their college aspirations. High school experiences and aspirations did not hinder youth from their later educational achievements. Rather, it was the social and cultural resources available in their post high school lives that mattered in actualizing their college aspirations. That the support available later in their lives as young adults were the most influential in their educational accomplishments supported the predictions of social-capital theories in shaping flexible (Chicago School) academic self-concepts of youth and contributed to the sociology of higher education. While contributing to the scholarship on higher education, the research also underscored the need for the continued support needed by young adults as they pursue their educational goals

Colouring exact distance graphs of chordal graphs

For a graph $G=(V,E)$ and positive integer $p$, the exact distance-$p$ graph $G^{[\natural p]}$ is the graph with vertex set $V$ and with an edge between vertices $x$ and $y$ if and only if $x$ and $y$ have distance $p$. Recently, there has been an effort to obtain bounds on the chromatic number $\chi(G^{[\natural p]})$ of exact distance-$p$ graphs for $G$ from certain classes of graphs. In particular, if a graph $G$ has tree-width $t$, it has been shown that $\chi(G^{[\natural p]}) \in \mathcal{O}(p^{t-1})$ for odd $p$, and $\chi(G^{[\natural p]}) \in \mathcal{O}(p^{t}\Delta(G))$ for even $p$. We show that if $G$ is chordal and has tree-width $t$, then $\chi(G^{[\natural p]}) \in \mathcal{O}(p\, t^2)$ for odd $p$, and $\chi(G^{[\natural p]}) \in \mathcal{O}(p\, t^2 \Delta(G))$ for even $p$. If we could show that for every graph $H$ of tree-width $t$ there is a chordal graph $G$ of tree-width $t$ which contains $H$ as an isometric subgraph (i.e., a distance preserving subgraph), then our results would extend to all graphs of tree-width $t$. While we cannot do this, we show that for every graph $H$ of genus $g$ there is a graph $G$ which is a triangulation of genus $g$ and contains $H$ as an isometric subgraph.Comment: 11 pages, 2 figures. Versions 2 and 3 include minor changes, which arise from reviewers' comment

On the possible Computational Power of the Human Mind

The aim of this paper is to address the question: Can an artificial neural network (ANN) model be used as a possible characterization of the power of the human mind? We will discuss what might be the relationship between such a model and its natural counterpart. A possible characterization of the different power capabilities of the mind is suggested in terms of the information contained (in its computational complexity) or achievable by it. Such characterization takes advantage of recent results based on natural neural networks (NNN) and the computational power of arbitrary artificial neural networks (ANN). The possible acceptance of neural networks as the model of the human mind's operation makes the aforementioned quite relevant.Comment: Complexity, Science and Society Conference, 2005, University of Liverpool, UK. 23 page

Some properties of data from falling sphere soundings

Data evaluation for upper atmosphere falling sphere sounding