A discussion of "openness" and wireless networking focusing on open source, open spectrum, and open architecture issues and their interrelations. This panel is composed of experts in open source development, legal issues, economic issues, and industry concerns; and is moderated by a policy and regulatory expert from the Federal Communications Commission. Panelists were chosen for their expertise in specific areas as well as a demonstrated breadth of knowledge in other facets in wireless communications. The plenary provides multiple perspectives on the importance of reforming access to the public airwaves -- including different foci and priorities -- while allowing ample time for audience participation and panelist debate. The moderator and four panelists will each hand out a "topic briefing" for plenary audience members that summarizes the take-home message and most important points from each of their perspectives.

Abstract Summary: The QU-GENE Computing Cluster (QCC) is a hardware and software solution to the automation and speedup of large QU-GENE (QUantitative GENEtics) simulation experiments that are designed to examine the properties of genetic models, particularly those that involve factorial combinations of treatment levels. QCC automates the management of the distribution of components of the simulation experiments among the networked single-processor computers to achieve the speedup. Contact: [email protected] Supplementary information: http://pig.ag.uq.edu.au/qu-gene/cluster.htm * To whom correspondence should be addressed.

MOTIVATION: Classical quantitative genetics theory makes a number of simplifying assumptions in order to develop mathematical expressions that describe the mean and variation (genetic and phenotypic) within and among populations, and to predict how these are expected to change under the influence of external forces. These assumptions are often necessary to render the development of many aspects of the theory mathematically tractable. The availability of high-speed computers today provides opportunity for the use of computer simulation methodology to investigate the implications of relaxing many of the assumptions that are commonly made. RESULTS: QU-GENE (QUantitative-GENEtics) was developed as a flexible computer simulation platform for the quantitative analysis of genetic models. Three features of the QU-GENE software that contribute to its flexibility are (i) the core E(N:K) genetic model, where E is the number of types of environment, N is the number of genes, K indicates the level of epistasis and the parentheses indicate that different N:K genetic models can be nested within types of environments, (ii) the use of a two-stage architecture that separates the definition of the genetic model and genotype-environment system from the detail of the individual simulation experiments and (iii) the use of a series of interactive graphical windows that monitor the progress of the simulation experiments. The E(N:K) framework enables the generation of families of genetic models that incorporate the effects of genotype-by-environment (G x E) interactions and epistasis. By the design of appropriate application modules, many different simulation experiments can be conducted for any genotype-environment system. The structure of the QU-GENE simulation software is explained and demonstrated by way of two examples. The first concentrates on some aspects of the influence of G x E interactions on response to selection in plant breeding, and the second considers the influence of multiple-peak epistasis on the evolution of a four-gene epistatic network. AVAILABILITY: QU-GENE is available over the Internet at (http://pig.ag.uq.edu.au/qu-gene/) CONTACT: [email protected]. au