Map of Elizabeth Town, N.J. at the time of the Revolutionary War, 1775-1783. Showing that part of the free borough and town of Elizabeth, which is now the site of the city of Elizabeth.

Scale ca. 1:7,300.

Hunting the Beast on YouTube : The framing of nature in social media

Humans’ perceived relationship to nature and non-human lifeforms is fundamental for sustainable development; different framings of nature – as commodity, as threat, as sacred etc. – imply different responses to future challenges. The body of research on nature repre-sentations in various symbolic contexts is growing, but the ways in which nature is framed by people in the everyday has received scant attention. This paper aims to contribute to our understanding of the framing of nature by studying how wild-boar hunting is depicted on YouTube. The qualitative frame analysis identified three interrelated frames depicting hunting as battle, as consumption, and as privilege, all of which constitute and are constituted by the underlying notion of human as superior to nature. It is suggested that these hegemonic nature frames suppress more constructive ways of framing the human-nature relationship, but also that the identification of such potential counter-hegemonic frames enables their discursive manifestation.

The Proceedings of the South Carolina Historical Association

Annually, the association publishes a journal, The Proceedings, which consists of papers presented at the annual meeting. Francis Lieber at the South Carolina College by William M. Geer – United States Military Academy The Republican Society of Charleston by Eugene P. Link – Winthrop College Planters from the Low-Country and their Summer Travels by Lawrence F. Brewster – Duke University Bentonville—the Last Battle of Johnston and Sherman by Robert W. Barnwell

An approximate method for the solution of an influence function foil rolling model

Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.