In Working Virtue: Virtue Ethics and Contemporary Moral Problems, leading figures in the fields of virtue ethics and ethics come together to present the first ...

The human genome is not a uniform structure but, instead, is a mosaic of bands. Some of these bands can be seen by the eye. Stained with Giemsa and viewed under the microscope each human chromosome has a prototypical pattern of light and dark bands (G and R bands respectively). Other bands are not so easily viewed. The human genome is, for example, a mosaic of isochores, blocks of DNA within which the proportion of the bases G and C at (...) silent sites (introns, third positions in codons, intergene spacer) is fairly uniform. Recent work by Matassi and colleagues(1) has revealed what might be a new and unexpected banding pattern. They have found that the genes which are close together on the chromosome have similar rates of evolution. BioEssays 22:105–107, 2000. ©2000 John Wiley & Sons, Inc. (shrink)

Mimesis as Make-Believe is important reading for everyone interested in the workings of representational art.

A longstanding paradox was first reported by David Miller in 1975 and highlighted by Karl Popper in 1979. Miller showed that the ranking of predictions from two theories, in terms of closeness to observation, appears to be reversed when the problem is transformed into a different mathematical space. He concluded that “… no false theory can … be closer to the truth than is another theory”. This flies in the face of normal scientific practice and is thus paradoxical; it is (...) named here the “Miller-Popper paradox”. This paper proposes a resolution of the paradox, through consideration of the inevitable errors and uncertainties in both observations and predictions. It is proved that, for linear transformations and Gaussian error distributions, the transformation between spaces creates no change in quantitative measures of “closeness-to-observation” when these measures are based in probability theory. The extension of this result to nonlinear transformations and to non-Gaussian error distributions is also discussed. These results demonstrate that concepts used in comparison of predictions with observations—concepts of “closeness”, “consistency”, “agreement”, “falsification”, etc.—all imply some knowledge of the uncertainty characteristics of both predictions and observations. (shrink)

As a parent, you know how much less stressful your life would be if you could count on your children to be more responsible -for their toys, their homework, their household chores, and their choice of friends. You know you want your children to grow up to be responsible adults. In Teaching Your Children Responsibility , bestselling authors Linda and Richard Eyre show you how to make sure your elementary-school-aged children learn this invaluable lesson. The Eyres identify twelve simple kinds (...) of responsibility-from responsibility for things to responsibility for actions, from responsibility for choices to responsibility for younger siblings-that children can relate to. They provide a simple, practical program-with enjoyable exercises, games, and activities-that you can use to teach your children these important concepts. Written by parents for parents, Teaching Your Children Responsibility will help you give your children the tools they need to thrive in today's challenging world-and help them grow up to be happy, fulfilled adults. (shrink)

First published in 1962, contains the William James Lectures delivered at Harvard University in 1955. It sets out Austin's conclusions in the field to which he directed his main efforts for at least the last ten years of his life. Starting from an exhaustive examination of his already well- known distinction of performative utterances from statements, Austin here finally abandons that distinction, replacing it by a more general theory of 'illocutionary forces' of utterances which has important bearings on a wide (...) variety of philosophical problems. (shrink)

It was proposed that the data from Monte Carlo statistical investigations be subjected to analysis of variance methods rather than the conventional techniques of tabling, graphing, and inspecting the data. Two examples in which analysis of variance methods were applied to published Monte Carlo studies were presented. It was suggested that balanced factorial designs should be used whenever possible in Monte Carlo studies so that analysis of variance methods would be directly applicable. Finally, three advantages of analysis of variance methods (...) over conventional techniques were described and analysis of variance methods were contrasted with a possible alternative analytical method, multiple regression analysis. (shrink)