Solutions are on Track

This Note discusses the need to solve the copyright problems caused by digital file sharing over peer-to-peer networks and the possible solutions that would be acceptable to both the media industries and the public. While it is likely that the problems caused by file sharing will not decrease significantly by placing post-sales control in the hands of the artists, it is probable that legislative and industry driven technical counter-measures will be able to decrease illegal file sharing in an acceptable way. Part I outlines copyright in general and how digital technology is pushing at the boundaries of copyright law. Part II evaluates different ways in which illegal file sharing may be stopped and concludes that non-privatization methods of limiting file sharing will likely make a greater impact on stopping illegal downloads than methods which place full control in the hands of the artist. Part III discusses the possible impact of these technologies, and Part IV concludes that there are possible ways to decrease illegal file sharing while still allowing people to trade digital files via peer-to-peer networks

EVALUATION OF ALTERNATIVE RISK SPECIFICATIONS IN FARM PROGRAMMING MODELS

The use of alternative probability density functions to specify risk in farm programming models is explored and compared to a traditional specification using historical data. A method is described that compares risk efficient crop mixes using stochastic dominance techniques to examine impacts of different risk specifications on farm plans. Results indicate that a traditional method using historical farm data is as efficient for risk averse producers as two other methods of incorporating risk in farm programming models when evaluated using second degree stochastic dominance. Stochastic dominance with respect to a function further discriminates among the distributions, indicating that a density function based on the historic forecasting accuracy of the futures market results in a more risk-efficient crop mix for highly risk averse producers. Results also illustrate the need to validate alternative risk specifications perceived as improvements to traditional methods.Risk and Uncertainty,

Assessing GA Pilots\u27 Preflight Weather Planning Mental Models

Purpose, To assess GA Pilots\u27 ability to: Obtain the Appropriate Weather Information Interpret the Data Apply the Information to a Given Flight Rout

Treating random sequential addition via the replica method

While many physical processes are non-equilibrium in nature, the theory and modeling of such phenomena lag behind theoretical treatments of equilibrium systems. The diversity of powerful theoretical tools available to describe equilibrium systems has inspired strategies that map non-equilibrium systems onto equivalent equilibrium analogs so that interrogation with standard statistical mechanical approaches is possible. In this work, we revisit the mapping from the non-equilibrium random sequential addition process onto an equilibrium multi-component mixture via the replica method, allowing for theoretical predictions of non-equilibrium structural quantities. We validate the above approach by comparing the theoretical predictions to numerical simulations of random sequential addition.Comment: 32 pages, 3 figure

The Effects of Display Type, Weather Type, and Pilot Experience on Pilot Interpretation of Weather Products

The majority of general aviation (GA) accidents involving adverse weather result in fatalities. Considering the high weather-related fatality rate among GA flight operations, it is imperative to ensure that GA pilots of all experience levels can incorporate available weather information into their flight planning. In the past decade, weather product development has incorporated increasing levels of automation, which has led to the generation of high-resolution, model-based aviation displays such as graphical turbulence guidance and current icing potential, which rival the resolution of radar and satellite imagery. This is in stark contrast to the traditional polygonal-based displays of aviation weather hazards (G-AIRMETs and SIGMETs). It is important to investigate the effects of these changes on the end user. Therefore, the purpose of this study was to compare the interpretability of weather products for two areas of interest: display type (traditional polygons vs. model-based imagery) and type of weather phenomena (ceiling/visibility, turbulence, and icing), across a range of pilot experience levels. Two hundred and four participants completed a series of weather product interpretation questions. The results indicated significant effects of product display type, as well as significant effects of weather phenomena and pilot experience on product interpretation. Further investigation is needed to assess possible extraneous variables