Community Wise: The Development of an Anti-Oppression Model to Promote Individual and Community Health

Communities with histories of oppression have shown great resilience, yet few health interventions focus on structural oppression as a contributor to health problems in these communities. This article describes the development and active ingredients of Community Wise, a unique behavioral health intervention designed to reduce substance use frequency, related health risk behaviors, and recidivism among individuals with a history of incarceration and substance abuse residing in distressed and predominantly African American communities. Community Wise, developed through the collaborative efforts of a board of service providers, researchers, consumers, and government officials, is a 12-week group intervention that aims to address behavioral health problems by raising critical consciousness in distressed communities.     

Town Centre Management: Outlook from Portugal

In the last two decades, the Portuguese Government has responded to the decline of centres of commerce. In this paper, we analyse the three different experiences of town centre management (TCM) schemes developed in Portugal since the turn of the millennium. The first two stages were developed using public sector initiatives and their impacts were limited. The third stage is still under way and is composed of private projects created by local business owners. Taking Lisbon as a case study for this third stage we conclude that these projects have become a pro-active means of intervention in Portuguese town centres.     

Social Accountability as an Innovative Frame in Civic Action: The Case of Rede Nossa São Paulo

In the past three decades, Brazil’s state and civil society have undergone a transformation. Non-profit organizations have proliferated, revealing new opportunities for participation, while sustainability and corporate social responsibility have produced new agendas for corporations. Against this background, accountability has emerged within the debate, particularly with regard to governmental transparency and efficiency. This paper examines the Rede Nossa São Paulo movement, which pledges social justice and sustainability and promotes social accountability as its main strategy to achieve its mission. Thus, the main objective of this study is to understand social accountability; more broadly, the goal is to examine governmental accountability in the mobilization process developed by Rede Nossa São Paulo by referring to the framing perspective as a core aspect in the understanding of social movements. Social accountability is presented as a frame that is composed of the union between movements that are historically bonded by the motto of social justice and other groups that are related to urban development and social and environmental responsibility.     

Influence diagnostics in a multivariate normal regression model with general parameterization

Patriota and Lemonte [24] introduced a quite general multivariate normal regression model. This model considers that the mean vector and the covariance matrix share the same vector of parameters. In this paper we present some influence assessment for this model, such as the local influence, total local influence of an individual and generalized leverage which are discussed. Additionally, the normal curvatures for local influence studies are derived under some perturbation schemes.     

Modeling Lifetimes by a Stochastic Process Hitting a Critical Point

First hitting times arise naturally in survival analysis where the underlying stochastic counting process represents the strength of the health of an individual. The patient experiences a clinical endpoint when this process reaches a critical point for the first time. We propose a very flexible and unified first hitting time density function in a stochastic carcinogenesis counting process, and its mathematical properties are investigated. The Poisson and negative binomial first hitting time models are addressed and two examples with real data are presented.     

An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships

The wide-ranging and rapidly evolving nature of ecological studies mean that it is not possible to cover all existing and emerging techniques for analyzing multivariate data. However, two important methods enticed many followers: the Canonical Correspondence Analysis (CCA) and the STATICO analysis. Despite the particular characteristics of each, they have similarities and differences, which when analyzed properly, can, together, provide important complementary results to those that are usually exploited by researchers. If on one hand, the use of CCA is completely generalized and implemented, solving many problems formulated by ecologists, on the other hand, this method has some weaknesses mainly caused by the imposition of the number of variables that is required to be applied (much higher in comparison with samples). Also, the STATICO method has no such restrictions, but requires that the number of variables (species or environment) is the same in each time or space. Yet, the STATICO method presents information that can be more detailed since it allows visualizing the variability within groups (either in time or space). In this study, the data needed for implementing these methods are sketched, as well as the comparison is made showing the advantages and disadvantages of each method. The treated ecological data are a sequence of pairs of ecological tables, where species abundances and environmental variables are measured at different, specified locations, over the course of time.     

On a tobit–Birnbaum–Saunders model with an application to medical data

The tobit model allows a censored response variable to be described by covariates. Its applications cover different areas such as economics, engineering, environment and medicine. A strong assumption of the standard tobit model is that its errors follow a normal distribution. However, not all applications are well modeled by this distribution. Some efforts have relaxed the normality assumption by considering more flexible distributions. Nevertheless, the presence of asymmetry could not be well described by these flexible distributions. A real-world data application of measles vaccine in Haiti is explored, which confirms this asymmetry. We propose a tobit model with errors following a Birnbaum–Saunders (BS) distribution, which is asymmetrical and has shown to be a good alternative for describing medical data. Inference based on the maximum likelihood method and a type of residual are derived for the tobit–BS model. We perform global and local influence diagnostics to assess the sensitivity of the maximum likelihood estimators to atypical cases. A Monte Carlo simulation study is carried out to empirically evaluate the performance of these estimators. We conduct a data analysis for the mentioned application of measles vaccine based on the proposed model with the help of the R software. The results show the good performance of the tobit–BS model.     

Infants’ Style of Emotion Regulation with Their Mothers and Fathers: Concordance between Parents and the Contribution of Father–Infant Interaction Quality

The concordance between infants’ emotion regulation styles with different partners has not been consistently analysed nor have the relational correlates of such potential across‐partners similarities. We explored these issues by assessing 10‐month‐olds’ (59.6 percent boys) emotion regulation styles separately with mother and father and by evaluating mother–infant and father–infant interaction quality. The sample consisted of 50 low‐risk families. Two home visits were conducted and similar procedures were adopted for each visit. Parent–infant interaction quality was assessed during daily routines and during free play; both parents independently completed a temperament questionnaire. Infant emotion regulation was assessed in a semi‐structured problem‐solving task: adaptive vs. maladaptive (under and over‐regulation) styles. As predicted, infants’ emotion regulation with their mothers and fathers were related. However, only father–infant interaction quality predicted infants’ emotion regulation concordance: lower interaction quality was associated with maladaptive concordance compared with non‐concordance and higher interaction quality was associated with adaptive concordance compared with non‐concordance. Our results support the claim that by the end of the first year of life, infants use similar emotion regulation styles with mother and father and point to father–infant interaction as an important correlate of emotion regulation across‐parents.