The Claude Moore Health Sciences Library co-sponsors a History of the Health Sciences Lecture Series in the fall and spring of each year. Each lecture is produced and recorded for the benefit of the University of Virginia Heath System and members of the surrounding community. In the fall of 2005, the Library decided to begin podcasting the lectures via the Internet. This article describes the investigation process for creating access to the content via podcast, Webcast, and direct download. The article also addresses how the Library is teaching podcasting in its annual Multimedia Bootcamp and exploring additional uses for podcasting. doi:10.1300/J115v26n01_02.
As students entering college, graduate, and professional schools have increased needs and preferences for multimedia in instruction, faculty need to learn appropriate techniques for integrating technology into their educational duties. Instructional designers at the Claude Moore Health Sciences Library at the University of Virginia developed and implemented aMultimedia Bootcamp to help faculty and their support staff develop the skills necessary to integrate technology into teaching.
It is interesting to find the equivalent resistance between two nodes of an infinite electrical network. In this paper, we consider an infinite electrical network that can be described as a series of squares whose edges are resistors with resistance $R$ and whose corresponding vertices are joined successively by resistors with resistance $R$ as well. Our major work is to find the equivalent resistance between the diagonal vertices of the base square of this infinite network. First, we apply the techniques of balanced bridges and symmetry of voltages to convert each iteration of the network to a parallel circuit that includes the previous iteration. Then, we evaluate the equivalent resistance of each iteration of the network and derive a recursive sequence of equivalent resistances with iterations. After that, we prove that the recursive sequence is convergent using the contraction theorem in real analysis. Finally, we claim that the limit of the recursive sequence is the equivalent resistance of the infinite network.
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