The Role of Institutions in European Patterns of Work and Retirement

This paper uses the Survey of Health, Ageing and Retirement in Europe (SHARE) to investigate the role of pension and social security institutions in shaping the European patterns of work and retirement. We provide evidence on the extent of “unused capacity” in labor force, on pathways to retirement and on the relationship between actual health status and disability take up. We find that institutional differences between countries explain much of the cross-national differences in work and retirement, while differences in health and demographics play only a minor role.Aging, employment, retirement, health, disability, social security institutions, SHARE

Produção de sementes, qualidade fisiológica e identificação de genótipos de alface termotolerantes.

O objetivo neste trabalho foi identificar as diferenças de germinação de sementes de vinte cultivares de alface em condições de temperatura ideal 20° C

Conservação de sementes de hortaliças na agricultura familiar.

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Referente para la articulación de la docencia e investigación sobre la ética profesional y responsabilidad social

El documento presentado es la reseña del libro Ética profesional y responsabilidad social universitaria: experiencias universitarias coordinado por Ana Hirsch Adler y Judith Pérez Castro,  el  cual  integra en cinco ejes temáticos: desafíos éticos en la formación docente, ética profesional y excelencia del profesorado universitario, responsabilidad social universitaria para la inclusión, responsabilidad social y desarrollo sustentable y elementos de la ética cívica. Se presentan las reflexiones, experiencias y resultados de investigación en 17 capítulos realizados por académicos de México, América Latina y Europa. Entre sus propósitos se plantea la articulación de dos campos temáticos: ética profesional y la responsabilidad social universitaria, mediante el trabajo académico y de investigación que permitirá al lector reflexionar sobre la docencia e investigación

Development of Injuries Prevention Policies in Mexico: A Big Data Approach

Considering that Mexican injuries prevention strategies have been focused on injuries caused by car accidents and gender violence, a whole analysis of the injuries registered are performed in this paper to have a wider overview of those agents that can cause injuries around the country. Taking into account the amount of information from both public and private sources, obtained from dynamic cubes reported by the Minister of Health, Big Data strategies are used with the objective of finding an appropriate extraction such as to identify the real correlations between the different variables registered by the Health Sector. The results of the analysis show areas of opportunity to improve the public policies on the subject, particularly in diminishing wounds at living place, public road (pedestrians) and work

Sales Prediction through Neural Networks for a Small Dataset

Sales forecasting allows firms to plan their production outputs, which contributes to optimizing firms' inventory management via a cost reduction. However, not all firms have the same capacity to store all the necessary information through time. So, time-series with a short length are common within industries, and problems arise due to small time series does not fully capture sales' behavior. In this paper, we show the applicability of neural networks in a case where a company reports a short time-series given the changes in its warehouse structure. Given the neural networks independence form statistical assumptions, we use a multilayer-perceptron to get the sales forecasting of this enterprise. We find that learning rates variations do not significantly increase the computing time, and the validation fails with an error minor to five percent

Evaluation of the traditional and revised world health organization classifications of dengue cases in Brazil

OBJECTIVE: Dengue is a worldwide public health problem with approximately 50 million cases reported annually. The World Health Organization proposed a revised classification system in 2008 to more effectively identify the patients who are at increased risk of complications from dengue. Few studies have validated this new classification system in clinical practice. We conducted a cross-sectional study of patients hospitalized for dengue in Dourados, Mato Grosso do Sul, Brazil, to evaluate the capacity of the two classification systems for detecting severe cases of dengue. MATERIALS AND METHODS: We conducted a cross-sectional study of survey data from the medical records of patients admitted to the University Hospital of the Federal University of Grande Dourados under clinical suspicion of dengue during an epidemic from September 2009 to April 2010. RESULTS: The distribution of patients according to the traditional classification system was as follows: dengue fever, 150/181 (82.9%); dengue hemorrhagic fever, 27/181 (14.9%); and dengue hemorrhagic shock, 4/181 (2.2%). Using the revised classification system, the distribution was as follows: dengue without warning signs, 45/181 (24.3%); dengue with warning signs, 107/181 (59.1%); and severe dengue, 29/181 (15.6%). Of the 150 patients classified as having dengue fever, 105 (70%) were reclassified as having dengue with warning signs or severe dengue. CONCLUSION: These data demonstrate that the revised classification system has greater discriminatory power for detecting patients at risk of progression to severe disease and those needing hospitalization