Classes of diffusion-type processes with a sufficient reduction

Classes of processes of the diffusion type permitting a sufficient data reduction are derived. None of these classes are exponential families in the usual sense. For one type of such classes the sufficient statistic equals that of a curved exponential family of diffusion-type processes. For a second type the last observation is sufficient. In particular cases both types of classes are defined by means of a RICCATI equation     

A New Family of Nonparametric Quantile Estimators

A new core methodology for creating nonparametric L-quantile estimators is introduced and three new quantile L-estimators (SV1 _p , SV2 _p , and SV3 _p ) are constructed using the new methodology. Monte Carlo simulation was used in order to investigate the performance of the new estimators for small and large samples under normal distribution and a variety of light and heavy-tailed symmetric and asymmetric distributions. The new estimators outperform, in most of the cases studied, the Harrell–Davis quantile estimator and the weighted average at X _([np]) quantile estimator.     

From design to operations: a process management life-cycle performance measurement system for Public-Private Partnerships

Public–Private Partnerships (PPPs) have become a critical vehicle for delivering infrastructure worldwide. Yet, the use of such a procurement strategy has received considerable criticism, as they have been prone to experiencing time/cost overruns and during their operation poorly managed. A key issue contributing to the poor performance of PPPs is the paucity of an effective and comprehensive performance measurement system. There has been a tendency for the performance of PPPs to be measured based on their ex-post criteria of time, cost and quality. Such criteria do not accommodate the complexities and lifecycle of an asset. In addressing this problem, the methodology of sequential triangulation is used to develop and examine the effectiveness of a ‘Process Management Life Cycle Performance Measurement System’. The research provides public authorities and private-sector entities embarking on PPPs with a robust mechanism to effectively measure, control and manage their projects’ life cycle performances, ensuring the assets are ‘future proofed’.     

Risk Perception: Reflections on 40 Years of Research

Numerous studies and practical experiences with risk have demonstrated the importance of risk perceptions for people's behavior. In this narrative review, we describe and reflect upon some of the lines of research that we feel have been important in helping us understand the factors and processes that shape people's risk perceptions. In our review, we propose that much of the research on risk perceptions to date can be grouped according to three dominant perspectives and, thus, approaches to study design; they are: the characteristics of hazards, the characteristics of risk perceivers, and the application of heuristics to inform risk judgments. In making these distinctions, we also highlight what we see as outstanding challenges for researchers and practitioners. We also highlight a few new research questions that we feel warrant attention.     

Veteran-nonveteran differences in alcohol and drug misuse by tobacco use status in Alabama SBIRT

ABSTRACT

Alcohol and substance use can challenge military veterans who live in rural communities. In 2016, the screening, brief intervention, and referral to treatment in Alabama (AL-SBIRT) program was implemented in west Alabama. The primary aim of this study was to determine whether current tobacco use modified the relationship between veteran status and substance misuse. Self-reported wellness data was collected regarding substance, alcohol, or tobacco consumption. Risk levels for alcohol and drug use were measured using the United States Alcohol Use Disorders Identification Test (US-AUDIT) and the Drug Abuse Screening Test (DAST)-10. Substance and tobacco use were significantly and positively correlated. Veterans had a higher US-AUDIT and DAST score than nonveterans, and tobacco appeared to be an exacerbating factor. Effective evidence-based interventions are needed in rural settings. Technology based programs and motivational interviewing with trained clinicians may serve as beneficial and cost-effective interventions for tobacco use prevention and cessation efforts.     

Historical Thinking and Sports History: A Case Study Using the Brooklyn Dodgers

Abstract

This article discusses how the history of sports can serve as way to understand abstract concepts associated with local history and social studies education. An introductory discussion outlines how sports can engage and interest students, focusing especially on ideas related to history thinking (such as change and continuity). A case study using the Brooklyn Dodgers’ move to Los Angeles is used to illustrate these ideas, focusing on themes associated with suburbanization and urban renewal. A lesson plan is also provided.     

Unintended consequences in traffic-light food labeling: A call for mixed methods in public health research

Abstract

Nudge theory describes how indirect suggestions and positive reinforcement can influence decision-making. We used nudge theory to implement a traffic-light labeling and choice architecture (modifying product placement) intervention at Harvard University cafeterias, but found no significant change in sales. Survey and focus group data showed that some students thought the labeling may exacerbate eating disorders, however, there is extremely limited research on potential negative consequences of labeling. One way to describe these findings is through 20th century philosopher Michel Foucault’s concept of biopower. Biopower manipulates cultural norms and nudges individuals to engage in self-surveillance and self-discipline, de facto subjugating themselves to certain ways of being. Biopower may lead to the creation of an in-group and an out-group based on who can adopt the new behaviors, such as healthy eating. Those in the out-group may face additional unintended consequences, highlighting the need for mixed-methods research to better evaluate public health interventions.