Grain Boundary Loops in Graphene

Topological defects can affect the physical properties of graphene in unexpected ways. Harnessing their influence may lead to enhanced control of both material strength and electrical properties. Here we present a new class of topological defects in graphene composed of a rotating sequence of dislocations that close on themselves, forming grain boundary loops that either conserve the number of atoms in the hexagonal lattice or accommodate vacancy/interstitial reconstruction, while leaving no unsatisfied bonds. One grain boundary loop is observed as a "flower" pattern in scanning tunneling microscopy (STM) studies of epitaxial graphene grown on SiC(0001). We show that the flower defect has the lowest energy per dislocation core of any known topological defect in graphene, providing a natural explanation for its growth via the coalescence of mobile dislocations.Comment: 23 pages, 7 figures. Revised title; expanded; updated reference

Notice of a new oxy-hydrogen blowpipe apparatus

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Standard evaluation framework for weight management interventions

This document builds on the ‘Standard Evaluation Framework (SEF) for weight management interventions’, published by NOO in April 2009.1 It takes the principles described in the original SEF and applies them to dietary interventions. It contains a list of ‘essential’ and ‘desirable’ criteria for data required for a comprehensive and robust evaluation. Essential criteria are the minimum data and information recommended to perform a basic evaluation of an intervention that sets out to improve diet. Desirable criteria are additional data that would improve the quality of an evaluation, and enhance understanding about what has been achieved, and the processes that have taken place during the intervention. A glossary of terms is available on page 35

Political brands: can parties be distinguished by their online brand personality?

This paper investigates whether or not five English political parties are differentiating themselves based on the brand personality they are communicating through their websites. The relative brand positions of five English political parties are analysed using Aaker’s brand personality scale. The text from each party website is analysed using content analysis and a dictionary-based tool. The results are plotted in relation to one another on a correspondence analysis map. We find that the two main dimensions on which parties' brand personalities differ relate to the trade-offs between communicating Competence and communicating Sincerity, and between communicating Sophistication and communicating Ruggedness. We find that parties' brand personalities are distinctive, with the exception of the Green party, and that the position of one party, the United Kingdom Independence Party, is particularly distinctive. Our research uses Aaker’s existing framework for thinking about brand personalities, rather than creating a new framework for politics. By using an existing framework, we are able to use tools developed in other disciplines, and show their usefulness for the study of political marketing

National child measurement programme: detailed analysis of the 2007/08 national dataset

This report presents detailed secondary analyses to further our understanding of the epidemiology of child height, weight and Body Mass Index (BMI) across England. It attempts to explain some of the findings presented in the NHS Information Centre for Health and Social Care 2007/08 NCMP report. The report provides analysis of PCT participation levels and investigates data quality issues in the collection of the 2007/08 NCMP dataset. Data on prevalence of underweight, healthy weight, overweight and obesity are analysed, comparing the 2007/08 data to the 2006/07, and the 1990 baseline. Analyses by deprivation and ethnic group are also included. The report further examines how the distribution of BMI differs by age and sex of the child sample population, and investigates changes since the 1990 baseline. It looks at the association between obesity prevalence and characteristics of the individual children and the PCTs in which they were measured using regression analysis