Residential Location and Proximity to Children Among Impaired Elderly Parents1

Abstract The availability of adult children as potential caregivers is particularly critical to the rural elderly because of the dearth of health and human services in rural areas. This paper analyzes proximity to adult children among a large sample of older persons with some degree of functional impairment, employing four residence categories and two indicators of proximity: coresidence with a child, and residence within a half-hour's travel time. Results show that older residents of large cities are most likely to live with children and that large-city and farm residents are more likely than small-city or rural nonfarm residents to live near children. Implications regarding the potential for family caregiving for the impaired elderly are discussed.     

Theory,culture, and behavior: Object relations in context

The purpose of this article is to explore aspects of contemporary object relations theory in relation to sociocultural variations in family constellation, childrearing practices, and race and ethnicity. The theoretical framework for this exploration derives from Winnicott's concept of the potential space between person and environment as the location of cultural experience. The author argues that Winnicott's ideas provide a clinically useful way to think about transactions between the internal world of object relations and the external world of cultural diversity. The article concludes with some implications for social work practice.     

The Evolution of Coding in Signaling Games

Signaling games with reinforcement learning have been used to model the evolution of term languages (Lewis 1969, Convention. Cambridge, MA: Harvard University Press; Skyrms 2006, “Signals” Presidential Address. Philosophy of Science Association for PSA). In this article, syntactic games, extensions of David Lewis’s original sender–receiver game, are used to illustrate how a language that exploits available syntactic structure might evolve to code for states of the world. The evolution of a language occurs in the context of available vocabulary and syntax—the role played by each component is compared in the context of simple reinforcement learning.     

Dyadic Interaction: Greater than the Sum of its Parts?

The study of dyadic interaction plays a major role in infancy research. To advance conceptually informed measurement of dyadic interaction and integration across studies, we examined factor structure of individual parents' and infants' measures and dyadic measures from face‐to‐face interactions in two samples of 6‐month‐old infants and their parents: mothers from a demographically heterogeneous sample (N = 164), and mothers and fathers (N = 156) from a Caucasian middle‐class sample. Results suggested that a) individual and dyadic measures, and parents' and infants' behaviors contribute independent information, b) measures of both valence and process are needed, c) there are context‐general and context‐specific qualities, and d) structure of dyadic interaction is more similar among mother–infant dyads from independent samples than between mother–infant and father–infant dyads within the same sample. Future research should use multiple measures incorporating valence, temporal processes, contextual influences, and behaviors of individual partners along with dyadic measures to adequately assess the quality of dyadic interaction.     

地球的电子神经系统——全球感测网

“全球感测网”就像是地球的电子皮肤或电子神经系统一般，由许许多多、各式各样的传感器所连结而成，这些传感器彼此沟通、合作且不眠不休地监测我们的世界。     

Parole Revocation in the Era of Mass Incarceration

The explosive growth of US prison populations over the last 30 years—now known as ‘mass incarceration’—has been driven by harsh sentences delivered to offenders by criminal courts, but the increasingly common practice of parole revocation has also contributed significantly to this phenomenon. As the criminal justice system has been reoriented away from rehabilitation and toward punitive objectives, the function of parole has changed accordingly. No longer focused on the successful reintegration of offenders, parole has been transformed into a managerial instrument that mainly serves to identify and reincarcerate dangerous criminals. This function entails a substantial amount of discretion in revocation decision making, raising concerns about the further entrenchment of disadvantage among already impoverished populations. However, given the professional and reputational pressures on state parole boards, revocation decision making logics appear rational. Reducing the flow of parole violators into prisons, therefore, is far more complicated than the technical re-engineering of parole practices. Such reform necessarily involves questioning our fundamental philosophies of punishment.     

Ensemble Habitat Mapping of Invasive Plant Species

Ensemble species distribution models combine the strengths of several species environmental matching models, while minimizing the weakness of any one model. Ensemble models may be particularly useful in risk analysis of recently arrived, harmful invasive species because species may not yet have spread to all suitable habitats, leaving species‐environment relationships difficult to determine. We tested five individual models (logistic regression, boosted regression trees, random forest, multivariate adaptive regression splines (MARS), and maximum entropy model or Maxent) and ensemble modeling for selected nonnative plant species in Yellowstone and Grand Teton National Parks, Wyoming; Sequoia and Kings Canyon National Parks, California, and areas of interior Alaska. The models are based on field data provided by the park staffs, combined with topographic, climatic, and vegetation predictors derived from satellite data. For the four invasive plant species tested, ensemble models were the only models that ranked in the top three models for both field validation and test data. Ensemble models may be more robust than individual species‐environment matching models for risk analysis.     

Adding time to social movement diffusion

ABSTRACT

There is now a substantial literature on the diffusion of protest events, tactics, identities, and frames between locations and among movements. This paper asks how the patterns identified in this literature may change as the time scale of diffusion extends across single cycles of protest and beyond the life spans of individual activists. I focus especially on two types of differences: the changing weight of relational and non-relational channels of diffusion; and ways in which, over longer stretches of time, the mediation of diffusion by formal organizations, institutions, and public history works to filter the influence of past activism.     

Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data

Array-based comparative genomic hybridization (aCGH) is a high-resolution high-throughput technique for studying the genetic basis of cancer. The resulting data consists of log fluorescence ratios as a function of the genomic DNA location and provides a cytogenetic representation of the relative DNA copy number variation. Analysis of such data typically involves estimation of the underlying copy number state at each location and segmenting regions of DNA with similar copy number states. Most current methods proceed by modeling a single sample/array at a time, and thus fail to borrow strength across multiple samples to infer shared regions of copy number aberrations. We propose a hierarchical Bayesian random segmentation approach for modeling aCGH data that utilizes information across arrays from a common population to yield segments of shared copy number changes. These changes characterize the underlying population and allow us to compare different population aCGH profiles to assess which regions of the genome have differential alterations. Our method, referred to as BDSAcgh (Bayesian Detection of Shared Aberrations in aCGH), is based on a unified Bayesian hierarchical model that allows us to obtain probabilities of alteration states as well as probabilities of differential alteration that correspond to local false discovery rates. We evaluate the operating characteristics of our method via simulations and an application using a lung cancer aCGH data set.