Toward Digital, Critical, Participatory Action Research: Lessons From The #BarrioEdProj

The Education in our Barrios project, or #BarrioEdProj, is a digital critical participatory action research (D+CPAR) project that examines the interconnected remaking of public education and a New York City Latino core community in an era of racial capitalism. This article is a meditation on the ongoing development of #BarrioEdProj as an example of strategically coupling digital media with the theories and practices of critical participatory action research (CPAR). The author describes the project and the theoretical and political commitments that frame this project as a form of public and participatory science. The author then discusses some of the lessons that have been learned as the research group implemented the project and decided to move to a digital archiving model when our digital media design was initially ineffective. The author argues that rather than dropping digital media, engaged scholars must continue to explore the potentially transformative work that can come from carefully devised D+CPAR

Worst-Case Routing Performance Evaluation of Sensor Networks

Successful sensor network applications depends heavily on the ability of these networks to reliably and reasonably perform under the worst-case scenarios, extreme and unusual events for which many such networks are designed to detect. One of the key performance measures is the network's ability to route measurement data from the sensor nodes to the destination node(s). This paper introduces a general framework with which worst-case routing performance of different sensor networks can be evaluated and compared. Our method can either be used as a design optimization tool, or a decision making tool to select and price contending sensor network designs and applications

Edwin Medina - The Influence of Faith on the Psychosocial Well-Being of Mexican Americans

The purpose of this study is to examine the relationship faith has to the eleven dimensions that constitute psychological and social well-being. Though there is an existing body of literature concerned with the relationship between faith and well-being, the work examining this relationship among the Hispanic population is limited. With Latinos now constituting the single largest minority population in the United States, we employed data from a sample of 137 Mexican Americans from Wisconsin. We examined the relationship faith salience and religious behaviors have on six dimensions of psychological well-being (Ryff, 2014) and five dimensions of social well-being (Keyes, 1998). Correlations show a significant negative relation between faith salience and autonomy, environmental mastery, and social acceptance. Religious behaviors show a significant positive relation to autonomy and a significant negative relation to social actualization, and social integration. Previous works suggest a positive association between faith and well-being, but our findings provide results contradictory to the literature concerning this relationship. The Influence of Faith on the Psychosocial Well-Being of Mexican Americans by Edwin Medina is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.https://epublications.marquette.edu/mcnair_2014/1005/thumbnail.jp

On anomalies and noncommutative geometry

I discuss examples where basic structures from Connes' noncommutative geometry naturally arise in quantum field theory. The discussion is based on recent work, partly collaboration with J. Mickelsson.Comment: 6 pages, latex, no figures. Proceedings of ``34. Internationale Universit\"atswochen f\"ur Kern- und Teilchenphysik Schladming'', Schladming March 1995, Springer Verlag (to appear

Finding the Best QoS Path in a Gilbert Channel Network

Many different types of modern wired and wireless communication links can be mathematically described as discrete- time Gilbert channels. In this extended abstract, we present an exact method of calculating the best path in a network of discrete- time Gilbert channels, each of which is defined as a Markov chain with two states. In the "Good" state of the chain, the channel produces no erasure, and in the "Bad" state of the chain, the channel produces an erasure. Our method relies on a modified version of the Dijkstra's algorithm, which we customize to operate on sets of Gilbert channel parameters, instead of real numbers. We prove that the Gilbert channels obeys a certain set of algebraic properties which makes it compatible with our algorithm