Quasi-isometric classification of non-geometric 3-manifold groups

We describe the quasi-isometric classification of fundamental groups of irreducible non-geometric 3-manifolds which do not have "too many" arithmetic hyperbolic geometric components, thus completing the quasi-isometric classification of 3--manifold groups in all but a few exceptional cases.Comment: Minor revision (added footnote in the Introduction

Food for Thought: Television Food Advertising to Children in the United States

As the fight against childhood obesity escalates, the issue of food advertising to children has come under increasing scrutiny. Policymakers in Congress, the Federal Trade Commission (FTC) and agencies such as the Institute of Medicine (IOM) have called for changes in the advertising landscape, and U.S. food and media industries are developing their own voluntary initiatives related to advertising food to children. To help inform this debate, the Kaiser Family Foundation released the largest study ever conducted of TV food advertising to children. The study, Food for Thought: Television Food Advertising to Children in the United States, combines content analysis of TV ads with detailed data about children's viewing habits to provide an estimate of the number and type of TV ads seen by children of various ages

Selective inhibition of carotenoid cleavage dioxygenases : phenotypic effects on shoot branching

Members of the carotenoid cleavage dioxygenase family catalyse the oxidative cleavage of carotenoids at various chain positions, leading to the formation of a wide range of apocarotenoid signalling molecules. To explore the functions of this diverse enzyme family, we have used a chemical genetic approach to design selective inhibitors for different classes of carotenoid cleavage dioxygenase. A set of 18 arylalkyl-hydroxamic acids was synthesised in which the distance between an iron-chelating hydroxamic acid and an aromatic ring was varied; these compounds were screened as inhibitors of four different enzyme classes, either in vitro or in vivo. Potent inhibitors were found that selectively inhibited enzymes that cleave carotenoids at the 9,10 position; 50% inhibition was achieved at sub-micromolar concentrations. Application of certain inhibitors at 100 microM to Arabidopsis node explants or whole plants led to increased shoot branching, consistent with inhibition of 9,10-cleavage

Electronic Health Records and Population Health Research

Adoption of electronic health records (EHRs) by clinical practices and hospitals in the US has increased substantially since 2009, and offers opportunities for population health researchers to access rich structured and unstructured clinical data on large, diverse, and geographically distributed populations. However, because EHRs are intended for clinical and administrative use, the data must be curated for effective use in research. We describe EHRs, examine their use in population health research, and compare the strengths and limitations of these applications to traditional epidemiologic methods. To date, EHR data have primarily been used to validate prior findings, to study specific diseases and population subgroups, to examine environmental and social factors and stigmatized conditions, to develop and implement predictive models, and to evaluate natural experiments. Although primary data collection may provide more reliable data and better population retention, EHR-based studies are less expensive and require less time to complete. In addition, large patient samples that can be readily identified from EHR data enable researchers to evaluate simultaneously multiple risk factors and/or outcomes while maintaining study power. In addition to current advantages, improved capture of social, behavioral, environmental, and genetic data, and use of natural language processing, clinical biobanks, and personal sensing via smartphone should further enable EHR researchers to understand complex diseases with multifactorial etiologies. Integrating emerging technologies with clinical care could lead to innovative approaches to precision public health, reduce health care spending on individuals, and directly improve population health