Relationship Dissolution as a Life Stage Transition: Effects on Sexual Attitudes and Behaviors

In this paper, with the use of linear regressions to investigate how relationship dissolution affects sexual attitudes and behaviors, the authors address the stereotype that newly single people seek multiple sexual partners. Although the newly single people surveyed did obtain new sexual partners, the rate at which they acquired new partners did not support the stereotype. Specifically, men with custody of their children seemed oriented toward finding a steady partner. Additionally, men and women with low incomes reported relatively high rates of partner acquisition after relationship dissolution. The high rates reported by disadvantaged groups may be more directly related to familial instability accompanying poverty than to cultural characteristics associated with income or race. We argue that a life stage model with categorical stages in a rigid, anachronistic progression provides insufficient means to gain an understanding of newly single people.     

Becoming American/Becoming New Yorkers: Immigrant Incorporation in a Majority Minority City1

Many observers have noted that immigrants to the United States are highly concentrated in the largest metropolitan areas of a relatively few states. Though immigrants diffused into many places that had previously seen relatively few immigrants during the 1990s, as of the 2000 census, 77 percent of the nation's 31.1 million foreign born residents still lived in six states — California, New York, Texas, Florida, New Jersey, and Illinois. According to the 2000 census, the two largest metropolitan areas, Los Angeles and New York, accounted for one third of all immigrants ( http://www.census.gov/Press‐Release/www/2002/demoprofiles.html ). While immigrants moved into many new areas during the 1990s, making the challenge of incorporating their children a national issue, their concentration in our largest cities remained pronounced.     

Constructivist self-development theory: a theoretical framework for assessing and treating traumatized college students.

The authors present a new conceptual framework for assessing and treating traumatized college students. The framework, constructivist self-development theory (CSDT), blends object relations, self-psychology, and social cognition theories. It is founded upon a constructivist view of trauma in which the individual's unique history shapes his or her experience of traumatic events and defines the adaptation to trauma. Within this theory, the authors suggest approaches to setting the frame for trauma therapy, including stabilizing acute symptoms and setting appropriate expectations for treatment. CSDT provides a framework for the systematic assessment and practical treatment of three aspects of the self that are affected by trauma. These include self-capacities, or the ability to tolerate strong affect and regulate self-esteem; cognitive schemas, or beliefs and expectations about self and others in the areas of frame of reference (or identity and world view), safety, trust, esteem, intimacy, power, and independence; and intrusive trauma memories and related distressing affect. Finally, the authors provide guidelines for assessing the need for longer term treatment.     

Real Men,Real Women,Real Lives? Gender issues in learning disabilities and challenging behaviour

This article seeks to define gender issues and explores the significance of these issues for challenging behaviour in the field of learning disability. It is argued that lack of awareness about these issues contributes to the development of challenging behaviour and to difficulties in identifying the needs expressed through these behaviours, whatever their origin. Specific areas examined include models of residential provision for adults, prioritisation of service activities, attribution processes (needs identification), and the sexuality of people with learning disabilities. In each area issues are raised and the implications for service practice defined.     

The Boston Area Diary Study and the Moral Citizenship of Care

This paper describes the theoretical foundations, empirical findings, and practical and philosophical implications of the Boston Area Diary Study (BADS), a study of the caring behavior of 44 participants over one calendar year. In particular, the paper presents an identification theory of care and discusses how it shaped the conceptualization, collection, and analysis of the data in a year-long diary study of daily voluntary assistance. The findings from the BADS (1) theoretically confirm the identification theory of care; (2) methodologically capture how individuals perceive and carry out caring behavior as a unity; and (3rpar; empirically document the existence of a moral citizenship in America that is substantially more vigorous than is implied by the usual indicators of civic and political citizenship.     

LEARNING ABOUT GRIEF FROM NORMAL FAMILIES: SIDS,STILLBIRTH, AND MISCARRIAGE*

Family therapists can learn a great deal that would be of utility to them in their clinical work from normal families grieving over the death of an infant. When a baby dies, families begin a long and difficult journey, a search for security and meaning in a world that for them has gone insane. The researcher discusses 10 probing, extremely difficult questions family members commonly pose in the aftermath of an infant death and offers guidelines that could be helpful to family therapists hoping to be of service to families in the process of healing and growing through this tragedy.     

AN ALGORITHM FOR THE CONSTRUCTION OF OPTIMAL OR NEAR-OPTIMAL CHANGE-OVER DESIGNS

This paper presents an algorithm for the construction of optimal or near optimal change-over designs for arbitrary numbers of treatments, periods and units. Previous research on optimality has been either theoretical or has resulted in limited tabulations of small optimal designs. The algorithm consists of a number of steps:first find an optimal direct treatment effects design, ignoring residual effects, and then optimise this class of designs with respect to residual effects. Poor designs are avoided by judicious application of the (M, S)-optimality criterion, and modifications of it, to appropriate matrices. The performance of the algorithm is illustrated by examples.     

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.