The value of children to parents in the United States

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43479/1/11111_2004_Article_BF01277597.pd

Gender differences in moral development

Sixty-nine Midwestern middle-class children and adolescents were tested on justice and care orientations when reasoning abstract and interpersonal moral dilemmas. Nona Lyons' (“Two Perspectives on Self, Relationships and Morality,” Harvard Educational Review, 1983, 53, 125–145) scoring method was used to score subjects' responses. A 2(sex)×2(age) analysis of variance run on the total justice and care scores, as well as each individual dilemma, supported Carol Gilligan's ( In a Different Voice: Psychological Theory and Women's Development, Cambridge, MA: Harvard University Press, 1982) theory that two distinct ways of thinking about moral problems exist — justice and care — and are differentially related to gender. Girls emphasized the morality of care significantly more than justice. Contrary to Gilligan (1982) and Lyons (1983), however, boys in both age groups emphasized the morality of justice and care equally. Data from the interpersonal dilemmas using Lyons's (1983) coding scheme are consistent with J. Piaget ( The Moral Judgement of the Child, New York: Free Press, 1966) and Lawrence Kohlberg [“The Cognitive-Developmental Approach,” in D. A. Goslin (Ed.), Handbook of Socialization Theory and Research, Chicago: Rand McNally, 1969]: older subjects became more justice oriented and younger subjects emphasized the morality of care. Sex differences on Kohlberg's stage theory were not significant and the protagonist's gender in the Heinz dilemma had no effect on moral reasoning.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45582/1/11199_2004_Article_BF00288055.pd

What scans we will read: imaging instrumentation trends in clinical oncology

Oncological diseases account for a significant portion of the burden on public healthcare systems with associated costs driven primarily by complex and long-lasting therapies. Through the visualization of patient-specific morphology and functional-molecular pathways, cancerous tissue can be detected and characterized non- invasively, so as to provide referring oncologists with essential information to support therapy management decisions. Following the onset of stand-alone anatomical and functional imaging, we witness a push towards integrating molecular image information through various methods, including anato-metabolic imaging (e.g., PET/ CT), advanced MRI, optical or ultrasound imaging. This perspective paper highlights a number of key technological and methodological advances in imaging instrumentation related to anatomical, functional, molecular medicine and hybrid imaging, that is understood as the hardware-based combination of complementary anatomical and molecular imaging. These include novel detector technologies for ionizing radiation used in CT and nuclear medicine imaging, and novel system developments in MRI and optical as well as opto-acoustic imaging. We will also highlight new data processing methods for improved non-invasive tissue characterization. Following a general introduction to the role of imaging in oncology patient management we introduce imaging methods with well-defined clinical applications and potential for clinical translation. For each modality, we report first on the status quo and point to perceived technological and methodological advances in a subsequent status go section. Considering the breadth and dynamics of these developments, this perspective ends with a critical reflection on where the authors, with the majority of them being imaging experts with a background in physics and engineering, believe imaging methods will be in a few years from now. Overall, methodological and technological medical imaging advances are geared towards increased image contrast, the derivation of reproducible quantitative parameters, an increase in volume sensitivity and a reduction in overall examination time. To ensure full translation to the clinic, this progress in technologies and instrumentation is complemented by progress in relevant acquisition and image-processing protocols and improved data analysis. To this end, we should accept diagnostic images as “data”, and – through the wider adoption of advanced analysis, including machine learning approaches and a “big data” concept – move to the next stage of non-invasive tumor phenotyping. The scans we will be reading in 10 years from now will likely be composed of highly diverse multi- dimensional data from multiple sources, which mandate the use of advanced and interactive visualization and analysis platforms powered by Artificial Intelligence (AI) for real-time data handling by cross-specialty clinical experts with a domain knowledge that will need to go beyond that of plain imaging

Environmentalism, pre-environmentalism, and public policy

In the last decade, thousands of new grassroots groups have formed to oppose environmental pollution on the basis that it endangers their health. These groups have revitalized the environmental movement and enlarged its membership well beyond the middle class. Scientists, however, have been unable to corroborate these groups' claims that exposure to pollutants has caused their diseases. For policy analysts this situation appears to pose a choice between democracy and science. It needn't. Instead of evaluating the grassroots groups from the perspective of science, it is possible to evaluate science from the perspective of environmentalism. This paper argues that environmental epidemiology reflects ‘pre-environmentalist’ assumptions about nature and that new ideas about nature advanced by the environmental movement could change the way scientists collect and interpret data.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45449/1/11077_2005_Article_BF01006494.pd