Assessing social vulnerability and identifying spatial hotspots of flood risk to inform socially just flood management policy

This study presents the first nationwide spatial assessment of flood risk to identify social vulnerability and flood exposure hotspots that support policies aimed at protecting high-risk populations and geographical regions of Canada. The study used a national-scale flood hazard dataset (pluvial, fluvial, and coastal) to estimate a 1-in-100-year flood exposure of all residential properties across 5721 census tracts. Residential flood exposure data were spatially integrated with a census-based multidimensional social vulnerability index (SoVI) that included demographic, racial/ethnic, and socioeconomic indicators influencing vulnerability. Using Bivariate Local Indicators of Spatial Association (BiLISA) cluster maps, the study identified geographic concentration of flood risk hotspots where high vulnerability coincided with high flood exposure. The results revealed considerable spatial variations in tract-level social vulnerability and flood exposure. Flood risk hotspots belonged to 410 census tracts, 21 census metropolitan areas, and eight provinces comprising about 1.7 million of the total population and 51% of half-a-million residential properties in Canada. Results identify populations and the geographic regions near the core and dense urban areas predominantly occupying those hotspots. Recognizing priority locations is critically important for government interventions and risk mitigation initiatives considering socio-physical aspects of vulnerability to flooding. Findings reinforce a better understanding of geographic flood-disadvantaged neighborhoods across Canada, where interventions are required to target preparedness, response, and recovery resources that foster socially just flood management strategies.     

2011 MOBIUS Conference

The twelfth annual MOBIUS Conference was held June 7–9, 2011, at the Holiday Inn Executive Center in Columbia, Missouri. The MOBIUS consortium of Missouri is currently composed of fifty-nine academic libraries, two public libraries, and the Missouri State Library. The conference offered various opportunities, including a keynote address by Meredith Farkas and a networking dessert session on the first night. The second day featured six concurrent sessions, each having six different presentations, along with delicious food, generous door prizes, and the chance to meet with vendors. The third day consisted of four different four-hour post-conference training sessions. Presentations are available for download from the conference Web site.¹     

Mixture modelling as an exploratory framework for genotype-trait associations

We propose a mixture modelling framework for both identifying and exploring the nature of genotype-trait associations. This framework extends the classical mixed effects modelling approach for this setting by incorporating a Gaussian mixture distribution for random genotype effects. The primary advantages of this paradigm over existing approaches include that the mixture modelling framework addresses the degrees-of-freedom challenge that is inherent in application of the usual fixed effects analysis of covariance, relaxes the restrictive single normal distribution assumption of the classical mixed effects models and offers an exploratory framework for discovery of underlying structure across multiple genetic loci. An application to data arising from a study of antiretroviral-associated dyslipidaemia in human immunodeficiency virus infection is presented. Extensive simulations studies are also implemented to investigate the performance of this approach.     

Assessment-Informed Intervention for Aphasia in an Older Adult: Transfer of Stimulus Control Procedure Considerations

The purpose of this study was to contribute to the small but growing literature on the rehabilitation of language for older adults, as well as evaluate the clinical utility of a functional approach to language assessment. The study included an assessment-based response profile that informed individualized treatment targets and prompt selection, and a multiple-baseline design across behaviors with an embedded multielement design was used to systematically compare two transfer of stimulus control procedures. Results suggested that the prompt-delay procedure resulted in positive treatment outcomes and provided valuable information on the implications of basing treatment goals on functional assessment.     

New Measures of Economic Insecurity Reveal its Expansion Into EU Middle Classes and Welfare States

Economic instability, social changes, and new social policies place economic insecurity high on the scholarly and political agenda. We contribute to these debates by proposing a new multidimensional, intertemporal measure of economic insecurity that accounts for both its multiplicity and its dynamism. First, we develop three theory-driven, multidimensional measures of economic insecurity. Principal Components Analysis validates the measure. Second, we develop a dynamic approach to insecurity, using longitudinal data and a newly revised headcount method. Third, we then use our new measures to analyze the distribution of insecurity in Europe. Our analysis shows that insecurity is widespread across Europe, even in low-inequality, encompassing welfare states. Moreover, it extends across income groups and occupational classes, reaching into the middle classes.

     

Students in out-of-home care: Their experiences of Transforming Educational Achievement for Children at Risk,an Australian education programme

Children living in out-of-home care are at greater risk of poor educational outcomes compared to other children. To address their educational needs, several programs have been developed. Within a qualitative paradigm, this study explored the experiences of students about their involvement in TEACHaR (Transforming Educational Achievement for Children at Risk), a specialized education programme. Eight students (aged 13 to 18 years) from the programme participated in individual, semi-structured interviews. Responses were analysed using Interpretive Phenomenological Analysis. Participants indicated that the programme provided individualized and flexible academic support, reduced their shame and embarrassment and provided them with more than academic support. They highlighted the importance of the student–educator relationship, and the need for encouragement and motivation to pursue their educational goals. Finally, findings report on how COVID-19 impacts on student experiences of the programme. Recommendations for the development and improvement of education programs for students in out-of-home care conclude this paper.     

Let's stay close: An examination of the effects of imagined contact on behavior toward children with disability

In line with current developments in indirect intergroup contact literature, we conducted a field study using the imagined contact paradigm among high-status (Italian children) and low-status (children with foreign origins) group members (N = 122; 53 females, mean age = 7.52 years). The experiment aimed to improve attitudes and behavior toward a different low-status group, children with disability. To assess behavior, we focused on an objective measure that captures the physical distance between participants and a child with disability over the course of a five-minute interaction (i.e., while playing together). Results from a 3-week intervention revealed that in the case of high-status children imagined contact, relative to a no-intervention control condition, improved outgroup attitudes and behavior, and strengthened helping and contact intentions. These effects however did not emerge among low-status children. The results are discussed in the context of intergroup contact literature, with emphasis on the implications of imagined contact for educational settings.     

Exact uniformly most powerful postselection confidence distributions

A conditioning on the event of having selected one model from a set of possibly misspecified normal linear regression models leads to the construction of uniformly optimal conditional confidence distributions. They can be used for valid postselection inference. The constructed conditional confidence distributions are finite sample exact and encompass all information regarding the focus parameter in the selected model. This includes the construction of optimal postselection confidence intervals at all significance levels and uniformly most powerful hypothesis tests.     

Vaccine clinical trials with dynamic borrowing of historical controls: Two retrospective studies

Traditional vaccine efficacy trials usually use fixed designs with fairly large sample sizes. Recruiting a large number of subjects requires longer time and higher costs. Furthermore, vaccine developers are more than ever facing the need to accelerate vaccine development to fulfill the public's medical needs. A possible approach to accelerate development is to use the method of dynamic borrowing of historical controls in clinical trials. In this paper, we evaluate the feasibility and the performance of this approach in vaccine development by retrospectively analyzing two real vaccine studies: a relatively small immunological trial (typical early phase study) and a large vaccine efficacy trial (typical Phase 3 study) assessing prophylactic human papillomavirus vaccine. Results are promising, particularly for early development immunological studies, where the adaptive design is feasible, and control of type I error is less relevant.