Clues in the rare gas isotopes to early solar system history

The results of the radioactive dating and the discovery of gas-rich meteorites on the Moon surface are reviewed. Special attention is paid to the extinct radioactivity iodine-129. This radioactivity is produced by r-process of nucleosynthesis and it decays with a half-life of 17 m.y. It provides a clock sensitive to small changes in the early years of the solar system

Telling Miller’s Tale: A Reply to David Yassky

A recent article by Professor David Yassky suggests that there is a segment of legal academia that dissents from the Standard model and has started to generate alternatives to the Standard Model. Denning and Reynolds critique that part of Yassky\u27s theory dismissing United States v. Miller as providing the basis for an individual rights interpretation of the Second Amendment

Graphite/polyimide laminates with near-zero thermal expansion

Composite structures can be laminated to have very low coefficients of thermal expansion. Such structures are light and strong and have many uses where expansion or contraction with temperature change is undesirable. One application is with instruments that measure thermal expansion

Circuit breaker utilizing magnetic latching relays Patent

Relay circuit breaker with magnetic latching to provide conductive and nonconductive paths for current device

A conceptual and empirical framework to analyze the economics of consumer food waste

We develop a microeconomic model to understand food waste of consumers. We capture at-home and away-from home food consumption and distinguish between food purchases and food consumption. We allow the consumer to choose the rate of food waste at home optimally to maximize her utility. We show that consumer purchases can decline or increase with a cut in the rate of consumer waste, depending on the elasticity of food demand. Using the UK data for poultry in 2012, we also show a case where for a price elastic demand food consumption increases with a reduction in the food waste rate, but food purchases (retail sales) increase

Effects of Australian Economic Activities on Waste Generation and Treatment

Understanding the relationships between the Australian economic system and waste generation from intermediate sectors and households is a prerequisite for planning and implementing waste management strategies at a national scale. Data of waste generation accounts link to those of national economic accounts. However, in Australia, some years’ data are absent and so these links cannot be made. To rectify this data gap, this paper interpolates and extrapolates the Australian input-output table (IOT) of 2010–2011. Waste input-output (WIO) analysis is then used to assess the effects of the Australian economy on waste generation and treatment between 2009–2010 and 2010–2011. Analysis indicated that the result of interpolation was more reasonable than that of extrapolation, and the interpolation of the Australian IOT of 2010–2011 can be applicable. This comparative analysis of the time series data in WIO model has identified that: (1) per million $AUD of output of the Construction sector generated the most amount of direct and total waste during the period; (2) the relationships between the development of Australian economy and waste generation illustrate that the Australian economy is currently a traditional linear economy; (3) the effectiveness of waste-related policies are shown by the growth of the sums of direct and total effects of intermediate sectors on the Recovery sector; and (4) the amount of waste generated by households increased sharply over the two years. The physical flows of waste footprint show details of waste generation and treatment in the Australian economic system. The information provided in this paper is beneficial to formulate tailor-made policies for waste management in Australia

Fuzzy ARTMAP, Slow Learning and Probability Estimation

A nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is here described. Because the procedure does not make a priori assumptions about underlying probability distributions, it yields accurate estimates on a wide variety of prediction tasks. Fuzzy ARTMAP is used to perform probability estimation in two different modes. In a 'slow-learning' mode, input-output associations change slowly, with the strength of each association computing a conditional probability estimate. In 'max-nodes' mode, a fixed number of categories are coded during an initial fast learning interval, and weights are then tuned by slow learning. Simulations illustrate system performance on tasks in which various numbers of clusters in the set of input vectors mapped to a given class.British Petroleum (89-A-1204); Defense Advanced Research Projects Agency (AFOSR-90-0083, ONR-N00014-92-J-4015); National Science Foundation (IRI-90-00530); Office of Naval Research (N00014-91-J-4100); Air Force Office of Scientific Research (90-1075

Projective-symmetric spaces

Cartanian symmetrical property of Riemannian projective-symmetric spaces - tensor geometr