The House of Blue Leaves (1995)

https://digitalcommons.oberlin.edu/productions_1994-1995/1003/thumbnail.jp

The House of Blue Leaves (2001)

https://digitalcommons.oberlin.edu/productions_2001-2002/1001/thumbnail.jp

Degree of substitution in Ethylchlorosilanes

When an organo-magnesium halide is reacted with an excess of trichlorosilane, a mixture of products results according to the equations. If phenyl magnesium bromide is used, a mixture of high boiling products results, the highest boiling point of which is approximately 250° at 14mm. pressure. If ethyl magnesium bromide is used, it may be shown that, making certain assumptions and under the conditions of the experiment, if ethyl magnesium bromide is added to the trichlorosilane, monosubstitution is promoted, whereas if the trichlorosilane is added to the ethyl magnesium bromide, polysubstitution is promoted

Six Degrees of Separation (2006)

https://digitalcommons.oberlin.edu/productions_2005-2006/1007/thumbnail.jp

Awakening Imagination Through Literature

Great literature can inspire reflection and give birth to transforming grace. Words matter; and because they do, literature often reveals the human condition and suggests avenues for growth and change. This article explores the power of literature to cause a spiritual awakening in school leaders. Several works are discussed as the author leads readers into deeply poetic reflections on the possibility of healing and redemption through reading

A night on the town; New York Actor;The Philadelphia

The Marinello One-acts performed two plays each featuring a large city, comprise the Night on the Town experience from the Marinello One acts in February of 2002.https://collected.jcu.edu/plays/1127/thumbnail.jp

Automatic Network Fingerprinting through Single-Node Motifs

Complex networks have been characterised by their specific connectivity patterns (network motifs), but their building blocks can also be identified and described by node-motifs---a combination of local network features. One technique to identify single node-motifs has been presented by Costa et al. (L. D. F. Costa, F. A. Rodrigues, C. C. Hilgetag, and M. Kaiser, Europhys. Lett., 87, 1, 2009). Here, we first suggest improvements to the method including how its parameters can be determined automatically. Such automatic routines make high-throughput studies of many networks feasible. Second, the new routines are validated in different network-series. Third, we provide an example of how the method can be used to analyse network time-series. In conclusion, we provide a robust method for systematically discovering and classifying characteristic nodes of a network. In contrast to classical motif analysis, our approach can identify individual components (here: nodes) that are specific to a network. Such special nodes, as hubs before, might be found to play critical roles in real-world networks.Comment: 16 pages (4 figures) plus supporting information 8 pages (5 figures

Networking - A Statistical Physics Perspective

Efficient networking has a substantial economic and societal impact in a broad range of areas including transportation systems, wired and wireless communications and a range of Internet applications. As transportation and communication networks become increasingly more complex, the ever increasing demand for congestion control, higher traffic capacity, quality of service, robustness and reduced energy consumption require new tools and methods to meet these conflicting requirements. The new methodology should serve for gaining better understanding of the properties of networking systems at the macroscopic level, as well as for the development of new principled optimization and management algorithms at the microscopic level. Methods of statistical physics seem best placed to provide new approaches as they have been developed specifically to deal with non-linear large scale systems. This paper aims at presenting an overview of tools and methods that have been developed within the statistical physics community and that can be readily applied to address the emerging problems in networking. These include diffusion processes, methods from disordered systems and polymer physics, probabilistic inference, which have direct relevance to network routing, file and frequency distribution, the exploration of network structures and vulnerability, and various other practical networking applications.Comment: (Review article) 71 pages, 14 figure