Women with Turner's Syndrome: helping them reach their full potential

The physical and psychological effects of Turner's Syndrome, a female sex chromosome abnormality, briefly are described. Principles for helping women master the special challenges posed by the disorder are discussed. The authors argue that women with TS must take control of defining their identities and potential in order to attain full status within society.     

Buying a Dream: Alternative Models of Demand for Lotto

Existing lotto demand models utilize effective price, computed as the face value of a ticket minus the expected value of prize money per ticket, as their primary explanatory variable. By contrast, this article proposes a key role for consumption benefit or "fun" in the demand for gambling in general and lotto demand in particular. It develops an alternative model of lotto demand that focuses on the maximum possible prize. When this is tested against the traditional model using data from the U.K. National Lottery, we find that jackpot considerations exert an influence over and above that of variations in effective price.     

Editor's Introduction: Sex in Research

Qualitative Sociology -     

In Whose Backyard?: Concern About Siting a Nuclear Waste Facility*

Proponents of hazardous and nuclear waste depositories label opponents to local siting of such facilities “NIMBYs” (Not In My Backyard). This study assesses the extent to which the NIMBY label and the strategies of industry proponents to reduce opposition function on a reasonable set of assumptions. Using survey data and multiple regression techniques, the levels of concern of residents living in the county selected as the site of a low level radioactive waste disposal facility (imminent threat condition) are compared with a statewide sample (hypothetical threat condition). Consistent with proponents' theoretical assumptions, the levels of concern are greater for respondents under conditions of imminent threat than of hypothetical threat. However, within the host county, levels of concern are lowest, albeit most polarized, in the community closest to the proposed site. A conflict theory approach enhances an understanding of these findings by suggesting that within the most proximate community levels of concern are lowest for citizens who stand to gain the most economic benefits from the facility but highest for those citizens who are least likely to derive tangible gains.     

On Masking and Revealing the Culture of the Cross-Culturalist

There is a gulf between the analytic and experiential aspects of cross-culturalists' functioning that is reflected in the split between explicit scientific rules for studying the culture of others, while following an informal oral tradition for considering our own cultural makeup. This article discusses both a possible strategy for correcting this situation and the barriers that are likely to prevent such a correction. Structured cultural self-study procedures are presented as a possible resource in the continuing development of graduate students and professionals, and these have already proven highly effective in teaching cross-cultural psychology to undergraduates. Fostering commitments to standardized self-study and to applications of experiential learning is currently not likely to flourish due to complex academic and epistemic traditions, discussed as six cultural self-masking factors. A specific self-study protocol is offered to provide a beginning point for generating improved reflexive methods and for individual trial use. Through disciplined reflexivity, benefits might emerge in the form of better bias control in research, enhanced external validity, and a new theory about the interplay of investigators' self-knowledge and the conduct of cross-cultural research.     

Implementation in generic environments

In this paper, we study implementation in “economic environments”. It is shown that there is a dense subset of the set of preference profiles such that given an arbitrary social choice function, f, and ε>0, there exists another social choice function, f _ε, within ε of f uniformly and implementable in Nash equilibrium on the dense subset.     

A Comparison of Partially Adaptive and Reweighted Least Squares Estimation

The small sample performance of least median of squares, reweighted least squares, least squares, least absolute deviations, and three partially adaptive estimators are compared using Monte Carlo simulations. Two data problems are addressed in the paper: (1) data generated from non-normal error distributions and (2) contaminated data. Breakdown plots are used to investigate the sensitivity of partially adaptive estimators to data contamination relative to RLS. One partially adaptive estimator performs especially well when the errors are skewed, while another partially adaptive estimator and RLS perform particularly well when the errors are extremely leptokur-totic. In comparison with RLS, partially adaptive estimators are only moderately effective in resisting data contamination; however, they outperform least squares and least absolute deviation estimators.     

Membranes, mitochondria and amoebae: shape models

Most real-world shapes and images are characterized by high variability- they are not rigid, like crystals, for example—but they are strongly structured. Therefore, a fundamental task in the understanding and analysis of such image ensembles is the construction of models that incorporate both variability and structure in a mathematically precise way. The global shape models introduced in Grenander's general pattern theory are intended to do this. In this paper, we describe the representation of two-dimensional mitochondria and membranes in electron microscope photographs, and three-dimensional amoebae in optical sectioning microscopy. There are three kinds of variability to all of these patterns, which these representations accommodate. The first is the variability in shape and viewing orientation. For this, the typical structure is represented via linear, circular and spherical templates, with the variability accomodated via the application of transformations applied to the templates. The transformations form groups: scale, rotation and translation. They are locally applied throughout the continuum and of high dimension. The second is the textural variability; the inside and outside of these basic shapes are subject to random variation, as well as sensor noise. For this, statistical sensor models and Markov random field texture models are used to connect the constituent structures of the shapes to the measured data. The third variability type is associated with the fact that each scene is made up of a variable number of shapes; this number is not assumed to be known a priori. Each scene has a variable number of parameters encoding the transformations of the templates appropriate for that scene. For this, a single posterior distribution is defined over the countable union of spaces representing models of varying numbers of shapes. Bayesian inference is performed via computation of the conditional expectation of the parametrically defined shapes under the posterior. These conditional mean estimates are generated using jump-diffusion processes. Results for membranes, mitochondria and amoebae are shown.