Dose‐Response Models Incorporating Aerosol Size Dependency for Francisella tularensis

The effect of bioaerosol size was incorporated into predictive dose‐response models for the effects of inhaled aerosols of Francisella tularensis (the causative agent of tularemia) on rhesus monkeys and guinea pigs with bioaerosol diameters ranging between 1.0 and 24 μm. Aerosol‐size‐dependent models were formulated as modification of the exponential and β‐Poisson dose‐response models and model parameters were estimated using maximum likelihood methods and multiple data sets of quantal dose‐response data for which aerosol sizes of inhaled doses were known. Analysis of F. tularensis dose‐response data was best fit by an exponential dose‐response model with a power function including the particle diameter size substituting for the rate parameter k scaling the applied dose. There were differences in the pathogen's aerosol‐size‐dependence equation and models that better represent the observed dose‐response results than the estimate derived from applying the model developed by the International Commission on Radiological Protection (ICRP, 1994) that relies on differential regional lung deposition for human particle exposure.     

Differential customer racial attitudes toward scandal and patriotism: The Mitchell Report,the Olympics,race, and baseball memorabilia

This paper investigates differential customer racial reaction to negative and positive publicity related to professional athletes. In terms of negative publicity, it analyzes the effect of mention in the Mitchell Report on the price of baseball cards. In regards to positive publicity, it considers the impact of having been identified as a member of the United States Olympic or national team. After controlling for player productivity with performance statistics, the effects of being mentioned in the Mitchell Report are isolated within regression analysis to draw conclusions concerning customer racial attitudes toward the steroids scandal. Similar analysis is conducted to see the impact of being seen as a baseball representative of the United States. Regression results are consistent with the conclusion that negative publicity devalues the cards of nonWhite players but not of White players. Positive publicity, however, increases the value of a player's card regardless of ethnicity.     

Evaluating the heterogeneity of street life and homelessness in adolescent research

Researchers of homelessness have been careful to delineate the heterogeneity of adolescent homelessness and street involvement when defining and differentiating street life experiences around the globe. Understanding these experiences poses challenges to researchers as adolescents across these locations come to the street at various stages of transition and homelessness yet share similarities. In this article, we review homeless research to understand both the heterogeneous characteristics and experiences adolescents have when they become involved in street life and homelessness around the world, as well as the similarities and differences they globally share. We review and compare general definitions of street life and homelessness presented in observations of young people on the street in the developed and developing worlds. We then explore interrelated characteristics outlined by researchers across these studies and locations, namely, the homeless status of street life participants and their socialization to street life as well as their network affiliations. Although this collected body of work reveals a complex heterogeneity of street involvement among all those that participate, it also shows how the young and street involved around the globe share these commonalities with one another which challenges the frameworks and classifications that guide contemporary global research among the homeless.     

Finding Bhaskar in all the wrong places? Causation,process, and structure in Bhaskar and Deleuze

This article examines the reception of Roy Bhaskar amongst some contemporary Deleuzians. It proceeds by rejecting the all too often predilection of opposing realism to ‘postmodernism’ or ‘post‐structuralism’ arguing instead for the need to bring one into dialogue with the other. To this end, the paper explores the resonances and points of departure between the work of Gilles Deleuze and Roy Bhaskar. In particular, it examines the language of causation, object‐oriented versus process‐oriented ontologies, as well as the charge by Deleuzians that Bhaskar is an essentialist. Through this engagement it attempts to develop and rethink explanation and causation in terms of a more chaotic ontology of machines, centered around the concept of structure, process, and production in an open, heterogeneous, and dynamic world. The end result is a more chaotic concept of realism.     

What is a person‐centred approach? Familiarity and understanding of individualised funding amongst carers in New South Wales

Person‐centred approaches place individuals with a disability at the centre of decision making, with their carers and family invited to be partners in the process. Rather than being required to fit within existing service programs, person‐centred approaches enable individuals to choose the support options that best meet their needs. In order to facilitate this, person‐centred approaches will be accompanied by the introduction of individualised funding. This means the individual will be provided with funding to purchase services of their choosing. Given these significant changes occurring in the disability sector, Carers NSW surveyed informal carers of people with a disability to identify what they knew about person‐centred approaches and how they felt about their introduction. Survey results indicate that there is a need to increase the capacity and willingness of carers significantly in order to engage with person‐centred approaches and individualised funding. Carers require targeted and comprehensive information about these concepts in order to understand fully the changes occurring within the disability sector. These findings also indicate specific areas that need to be addressed in order to increase carers' awareness of these concepts and also to address existing negativity and confusion.     

The Structure of Issue Voting in Postindustrial Democracies

Issues matter for elections. The issue environment, however, varies across political campaigns as well as across countries. How does the issue environment structure the vote? Is the issue space single‐ or multidimensional? Do issues vary in terms of salience across parties or nations? This article addresses these questions using an original dataset of mass and elite policy positions covering the United States and nine other industrialized nations. Results show that while the traditional language of politics—expressed as the left/right divide—still resonates, the issue space is not single dimensional but two dimensional. Issues associated with globalization represent a crosscutting divide, which complicates the voter's decision. Further, the salience of an issue to a party varies as a function of the party's type, size, and age. This article shows how a cross‐national approach provides perspective on how voter decision making operates in different country contexts.     

Addressing potential prior‐data conflict when using informative priors in proof‐of‐concept studies

Bayesian methods are increasingly used in proof‐of‐concept studies. An important benefit of these methods is the potential to use informative priors, thereby reducing sample size. This is particularly relevant for treatment arms where there is a substantial amount of historical information such as placebo and active comparators. One issue with using an informative prior is the possibility of a mismatch between the informative prior and the observed data, referred to as prior‐data conflict. We focus on two methods for dealing with this: a testing approach and a mixture prior approach. The testing approach assesses prior‐data conflict by comparing the observed data to the prior predictive distribution and resorting to a non‐informative prior if prior‐data conflict is declared. The mixture prior approach uses a prior with a precise and diffuse component. We assess these approaches for the normal case via simulation and show they have some attractive features as compared with the standard one‐component informative prior. For example, when the discrepancy between the prior and the data is sufficiently marked, and intuitively, one feels less certain about the results, both the testing and mixture approaches typically yield wider posterior‐credible intervals than when there is no discrepancy. In contrast, when there is no discrepancy, the results of these approaches are typically similar to the standard approach. Whilst for any specific study, the operating characteristics of any selected approach should be assessed and agreed at the design stage; we believe these two approaches are each worthy of consideration. Copyright © 2015 John Wiley & Sons, Ltd.     

The Research Environment Norm Inventory (RENI): a study of integrity in research administrative systems

University research administrators have been generally ignored in basic studies of research integrity. Hensley noted that research administrators are "essential... to the achievement of the specific missions of postsecondary institutions... and to science and the academic infrastructure". The following study sought to extend the scope of research on research integrity to research administrative structures with a new instrument called the Research Environment Norm Inventory or RENI. University research administrators and their professional association were targeted for data collection. Evidence suggested that research administration in the United States supports integrity in the research environment through: (1) respect for community; (2) respect for institutional boundaries; (3) professionalism; (4) respect for authority structures; (5) sensitivity to system conflicts. The study suggested that integrity structures are dictated largely by the institutional settings and environments.     

Modeling Demand For Unionization With Nontraditional Data Analysis Methods

Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among typical union determinant variables seems to show different patterns of relationships at different levels of union demand. Thus, a break from traditional linear data analysis techniques is explored in the interest of explaining more variance with typical, theoretically derived variables by using neural network analysis. Results of analyses on industry level data reveal that using neural network analysis to model union demand explained over four times as much variance as multiple regression analysis.