The generator problem for Z-stable C*-algebras

The generator problem was posed by Kadison in 1967, and it remains open until today. We provide a solution for the class of C*-algebras absorbing the Jiang-Su algebra Z tensorially. More precisely, we show that every unital, separable, Z-stable C*-algebra A is singly generated, which means that there exists an element x є A that is not contained in any proper sub-C*- algebra of A. To give applications of our result, we observe that Z can be embedded into the reduced group C*-algebra of a discrete group that contains a non-cyclic, free subgroup. It follows that certain tensor products with reduced group C*-algebras are singly generated. In particular, C*r (F ∞) ⨂ C*r (F ∞) is singly generated.

Female Genital Mutilation/Cutting - A Literature Review

This report represents the result of two different strands of work by the Women's Health Council. At the beginning of 2006, due to the recent significant inward migration experienced in Ireland, the Council's board identified the promotion of the health of ethnic minority women as a key area of work in its strategic plan for the period 2007-2009. At the same time, it was also decided that the problem of gender-based violence would also be addressed through a number of research and policy initiatives. This report focuses on a health issuethat marries these two concerns, Female Genital Mutilation/Cutting (FGM/C – see below for definition) and serves as an accompanying document to the recently published Violence Against Women and Health (2007) and the forthcoming study on Ethnic Minority Women and Gender-Based Violence. Download document here

Translating Pain into Action: A Study of Gender-based Violence and Minority Ethnic Women in Ireland

Translating Pain into Action: A Study of Gender-based Violence and Minority Ethnic Women in Ireland Click here to download PDF 1.4mb Summary of the Report PDF 502kb This is a publication of the Womens Health Council

Gender-based Violence: a resource document for services and organisations working with and for minority ethnic women

Gender-based Violence: a resource document for services and organisations working with and for minority ethnic women Click here to download PDF 492kb This is a publication of the Womens Health Council

Healthy child, healthy future - Speech and language therapy: Factsheet for parents 5. Does my child have a voice problem?

This factsheet describes voice disorders such as 'hoarseness' in children and what parents can do to help their child with a voice problem.

The problem of Antimicrobial Resistance in the food chain

Antimicrobial resistance (AMR) associated with the food chain is currently a subject of major interest to many food chain stakeholders. In response safefood commissioned this report to update our knowledge of this area and to raise awareness of the issue. Its primary focus is on the food chain where it impacts consumer health. This review will inform and underpin any future action to be taken by safefood with regard to AMR.

Multi-ethnic fine-mapping of 14 central adiposity loci.

The Genetic Investigation of Anthropometric Traits (GIANT) consortium identified 14 loci in European Ancestry (EA) individuals associated with waist-to-hip ratio (WHR) adjusted for body mass index. These loci are wide and narrowing the signals remains necessary. Twelve of 14 loci identified in GIANT EA samples retained strong associations with WHR in our joint EA/individuals of African Ancestry (AA) analysis (log-Bayes factor >6.1). Trans-ethnic analyses at five loci (TBX15-WARS2, LYPLAL1, ADAMTS9, LY86 and ITPR2-SSPN) substantially narrowed the signals to smaller sets of variants, some of which are in regions that have evidence of regulatory activity. By leveraging varying linkage disequilibrium structures across different populations, single-nucleotide polymorphisms (SNPs) with strong signals and narrower credible sets from trans-ethnic meta-analysis of central obesity provide more precise localizations of potential functional variants and suggest a possible regulatory role. Meta-analysis results for WHR were obtained from 77 167 EA participants from GIANT and 23 564 AA participants from the African Ancestry Anthropometry Genetics Consortium. For fine mapping we interrogated SNPs within ± 250 kb flanking regions of 14 previously reported index SNPs from loci discovered in EA populations by performing trans-ethnic meta-analysis of results from the EA and AA meta-analyses. We applied a Bayesian approach that leverages allelic heterogeneity across populations to combine meta-analysis results and aids in fine-mapping shared variants at these locations. We annotated variants using information from the ENCODE Consortium and Roadmap Epigenomics Project to prioritize variants for possible functionality.

The Road to Recovery: A New Approach to Tackling Scotland's Drug Problem

The Scottish National Drugs Strategy requires the 22 regional Drug Action Teams to prepare and submit to the Scottish Executive annual action plans for tackling drug misuse in their areas. These plans should address national and local priorities, including their contribution to the achievement of national targets. These comprise three parts: Part A provides an overview of the DAT structures and working; Part B provides detailed information on current local services and Part C reports plans for 2003/04.This resource was contributed by The National Documentation Centre on Drug Use.

Appendix 4. Initiatives in the East Midlands to Address Health Inequalities Between Ethnic Groups: Results of a survey undertaken by Champa Patel in May-July 2004 on behalf of EMPHO and Voice-East Midlands

Initiatives in the East Midlands to Address Health Inequalities Between Ethnic Groups: Results of a survey undertaken by Champa Patel in May-July 2004 on behalf of EMPHO and Voice-East Midlands.

A Rapid Mapping Study of Smoking Projects and Services Targeted at People Living on Low Income and/or Minority Ethnic Groups

This is a study concerned with community based services aimed at smokers living on a low income and/or black and minority ethnic groups.

Ethnicity Coding

The incidence, prevalence, and mortality of many diseases are known to vary by ethnic group.There are well documented inequities in access to prevention, treatment, and palliative health and social care services based on ethnic group. There are, too, reported differences in the quality of services received by different ethnic groups and of outcomes of treatment and care. Many of these inequities are amenable to change. However, in order to address them they must, first of all, be comprehensively defined and documented. Mainstreaming ethnic monitoring/data collection is a vital step in the process. The history of such data collection in the NHS is poor, whichever of the key datasets is examined: hospital episode statistics, general practitioner data, cancer registrations, and disease registers. While steps are now being taken to remedy some of these deficiencies, the continued non-availability of ethnic monitoring data and in some cases of compatible ethnically-coded denominator data remains a problem. In particular the lack of ethnic group in births and deaths data has been the subject of widespread comment by specialists in demography and public health and is probably the single action that could most improve the evidence based for addressing ethnic/racial inequalities in health and health care.

Ethnic Minorities

London is the most ethnically diverse city in the UK. Census 2001 population figures suggest that: 40% of Londoners belong to a minority ethnic group, including the White Other and White Irish groups. The White Other (8%), Indian (6%), Black African (5%) and Black Caribbean (5%) groups are the largest in London. With the exception of the Pakistani group, London has the largest population from all ethnic minority groups out of all regions of England. There are wide differences in the proportion of the population from an ethnic minority group in different London boroughs, ranging from 71% in Brent to 8% in Havering.

Indicators of inequality: Classification and selection of ethnic health disparity indicators

Classification and selection of ethnic disparity health indicators in New Zealand