Implementing a social norms approach to reduce alcohol abuse on campus: Lessons learned in the shadow of ‘The World's Largest Six-Pack’

Many institutions of higher education are struggling with the problem of excessive alcohol consumption by students. Colleges and universities want to be ‘good neighbors’ in their communities and must limit legal and social risks that result from excessive alcohol consumption by students. At the same time, colleges and universities operate in an increasingly challenging marketplace where many prospective students seek out institutions with a ‘party school’ reputation. Thus, higher education institutions are finding it difficult to define and carry out alcohol reduction measures that satisfy all constituents. This article discusses the approach taken at the University of Wisconsin—La Crosse. UW-L is an institution that identified a serious alcohol consumption problem and had to address the problem in a community where high levels of alcohol consumption are socially and culturally condoned. The article profiles the UW-L community and discusses the campaign model and strategy chosen. Quantitative and qualitative measures of success are discussed, along with lingering issues of resistance. The article ends with a summary of current issues and future directions being taken by the campaign.     

What is wrong with the Mission Dependency Index for US federal infrastructure decisions?

The Mission Dependency Index (MDI) is a risk metric used by US military services and federal agencies for guiding operations, management, and funding decisions for facilities. Despite its broad adoption for guiding the expenditure of billions in federal funds, several studies on MDI suggest it may have flaws that limit its efficacy. We present a detailed technical analysis of MDI to show how its flaws impact infrastructure decisions. We present the MDI used by the US Navy and develop a critique of current methods. We identify six problems with MDI that stem from its interpretation, use, and mathematical formulation, and we provide examples demonstrating how these flaws can bias decisions. We provide recommendations to overcome flaws for infrastructure risk decision making but ultimately recommend the US government develop a new metric less susceptible to bias.     

Active controlled studies in antibiotic drug development

The increasing concern of antibacterial resistance has been well documented, as has the relative lack of antibiotic development. This paradox is in part due to challenges with clinical development of antibiotics. Because of their rapid progression, untreated bacterial infections are associated with significant morbidity and mortality. As a consequence, placebo-controlled studies of new agents are unethical. Rather, pivotal development studies are mostly conducted using non-inferiority designs versus an active comparator. Further, infections because of comparator-resistant isolates must usually be excluded from the trial programme. Unfortunately, the placebo-controlled data classically used in support of non-inferiority designs are largely unavailable for antibiotics. The only available data are from the 1930s and 1940s and their use is associated with significant concerns regarding constancy and assay sensitivity. Extended public debate on this challenge has led to proposed solutions by some in which these concerns are addressed by using very conservative approaches to trial design, endpoints and non-inferiority margins, in some cases leading to potentially impractical studies. To compound this challenge, different Regulatory Authorities seem to be taking different approaches to these key issues. If harmonisation does not occur, antibiotic development will become increasingly challenging, with the risk of further decreases in the amount of antibiotic drug development. However with clarity on Regulatory requirements and an ability to feasibly conduct global development programmes, it should be possible to bring much needed additional antibiotics to patients.     

Could mild hypoxia impair pilot decision making in emergencies?

The decreased pressure in the cabin of a pressurised aircraft (typically equivalent to ~8000 ft) reduces the oxygen level so that the blood oxygen saturation of all occupants falls from >97% (normoxia) at sea-level to below 92% (mild hypoxia). Although exposure to mild hypoxia does not affect well-learned cognitive and motor performance of aircrew, it has been proposed that it can affect the performance of some complex cognitive performance tasks involving multiple demands typical of emergency tasks that may have to be performed by pilots. In order to simulate some of these complex cognitive demands, 25 student volunteers participated in an experiment which assessed performance of complex logical reasoning and and multiple memory tasks before and after 2 hours of exposure to normoxia and mild hypoxia. Performance for the more difficult components of the complex reasoning task, especially involving conflict decisions, were marginally significantly degraded by mild hypoxia. Since the effects were only marginally significant future studies should investigate the effects of mild hypoxia on more subtle complex decision-making tasks.     

What Happens When There Is Presumptive 50/50 Parenting Time? An Evaluation of Arizona’s New Child Custody Statute

ABSTRACT

The current study presents the findings of an evaluation of Arizona’s 2013 revisions to the child custody statutes that directed courts to “maximize” the child’s parenting time with both parents. A state-wide survey of the four family law professions (i.e., conciliation court staff, judges, mental health providers, and attorneys) assessed their perceptions of the law 4 years after implementation. We averaged the ratings across the four professions to obtain a comprehensive perspective that gave equal weight to each profession. Results revealed that the law functions as a rebuttable presumption of equal parenting time; that it is evaluated positively overall and in terms of children’s best interests; that it is has a neutral impact on legal and interparental conflict; and that it has led to small increases in allegations of domestic violence, child abuse, and substance abuse.     

The use of a single pseudo-sample in approximate Bayesian computation

We analyze the computational efficiency of approximate Bayesian computation (ABC), which approximates a likelihood function by drawing pseudo-samples from the associated model. For the rejection sampling version of ABC, it is known that multiple pseudo-samples cannot substantially increase (and can substantially decrease) the efficiency of the algorithm as compared to employing a high-variance estimate based on a single pseudo-sample. We show that this conclusion also holds for a Markov chain Monte Carlo version of ABC, implying that it is unnecessary to tune the number of pseudo-samples used in ABC-MCMC. This conclusion is in contrast to particle MCMC methods, for which increasing the number of particles can provide large gains in computational efficiency.     

Adolescents’ Evaluations of Political Leaders: The Case of President Donald Trump

The current study explored youths’ views of President Donald Trump using quantitative ratings and open‐ended responses from a diverse sample of 1,432 U.S. adolescents from three geographic regions. Adolescent demographic characteristics (i.e., gender, race, geographic location) were systematically associated with their views about Trump. Open‐ended responses demonstrated substantial variability in youths’ rationales for approving or disapproving of the president. Adolescents' attitudes were informed by knowledge of the president’s leadership attributes, political views and policies, and their own experiences. Findings indicate that adolescents draw upon and synthesize a broad range of information when formulating their political views and coordinate this knowledge with their own opinions and experiences when evaluating political figures.     

Private Financial Transfers,Family Income,and the Great Recession

Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 4,701; 1998–2010), the authors studied whether the unemployment rate was associated with private financial transfers (PFTs) among urban families with young children and whether family income moderated these associations. They found that an increase in the unemployment rate was associated with greater PFT receipt and that family income moderated the association. Poor and near‐poor mothers experienced increases in PFT receipt when unemployment rates were high, whereas mothers with incomes between 2 and 3 times the poverty threshold experienced decreases. Simulations estimating the impact of the Great Recession suggest that moving from 5% to 10% unemployment is associated with a 9‐percentage‐point increase in the predicted probability of receiving a PFT for the sample as a whole, with greater increases in predicted probabilities among poor and near‐poor mothers.