Gender sensitivity in national health plans in Latin America and the European Union

Objectives: To evaluate the situation regarding gender sensitivity in national health plans in Latin America and the European Union for the decade 2000–2010. Methods: A systematic search and content analysis of national health plans were carried out within 37 countries. Gender sensitivity, defined as the extent to which a health plan considers gender as a central category and develops measures to reduce any gender-related inequalities, was analysed through an ad hoc checklist. Results: The description of health problems by sex was more frequent than intervention proposals aimed at reducing gender health disparities. The greatest number of specific intervention proposals targeted at overcoming gender-based health inequalities were associated with sexual and/or reproductive health, gender based violence, the working environment and human resources training. Compared to the European Union member states, Latin American health plans were found to be generally more gender sensitive. Conclusions: National health plans are still generally lacking in gender sensitivity. Disparities exist in health policy formulation in favour of men, whilst women's health continues to be identified mainly with reproductive health. If gender sensitivity is not taken into account, efforts to improve the quality of clinical care will be insufficient as gender inequalities will persist.

Fault tolerant embedded systems design by multi-objective optimization

The design of fault tolerant systems is gaining importance in large domains of embedded applications where design constrains are as important as reliability. New software techniques, based on selective application of redundancy, have shown remarkable fault coverage with reduced costs and overheads. However, the large number of different solutions provided by these techniques, and the costly process to assess their reliability, make the design space exploration a very difficult and time-consuming task. This paper proposes the integration of a multi-objective optimization tool with a software hardening environment to perform an automatic design space exploration in the search for the best trade-offs between reliability, cost, and performance. The first tool is commanded by a genetic algorithm which can simultaneously fulfill many design goals thanks to the use of the NSGA-II multi-objective algorithm. The second is a compiler-based infrastructure that automatically produces selective protected (hardened) versions of the software and generates accurate overhead reports and fault coverage estimations. The advantages of our proposal are illustrated by means of a complex and detailed case study involving a typical embedded application, the AES (Advanced Encryption Standard).