Expectations and industrial output in Uruguay: Sectoral interdependence and common trends

This paper examines the interdependence between expectations and growth by analysing Uruguayan manufacturing industry, divided for the purpose into four industry groupings differentiated by trade participation and production specialization. The study shows that there is a long-run relationship between industrialists' expectations and output growth in each grouping. In the most trade-oriented groupings the relationship is one of predetermination, showing how useful expectations are as a guide to sectoral growth. Expectations in the four industrial groupings are shown to follow a common long-run trend, identified with the one guiding the export grouping. Impulse-response simulations derived from a multisectoral vector autoregression (VAR) model confirm the important role of the industries most exposed to international competition in spreading shorter-term shocks.

A study on the capacity of statistical offices of the Caribbean to produce Environment, Social, Economic and Gender Statistics

Statistical organizations of the Caribbean countries continue to face serious challenges posed by the increased demand for more relevant, accurate and timely statistical data. Tangible progress has been made in delivering key products in the area of economic statistics. The central banks of the subregion have assisted greatly in this respect. However, even in this branch of statistics there are still several glaring gaps. The situation is even worse in other areas of statistics including social and environmental statistics. Even though all countries of the subregion have committed to the Millennium Development Goals (MDGs) as well as to other internationally agreed development goals serious challenges remain with respect to the compilation of the agreed indicators to assist in assessing progress towards the goals. It is acknowledged that appreciable assistance has been provided by the various donor agencies to develop statistical competence. This assistance has translated into the many gains that have been made. However, the national statistical organizations require much more help if they are to reach the plateau of self reliance in the production of the necessary statistical services. The governments of the subregion have also committed to invest more in statistical development and in promoting a statistics culture in the Caribbean. The training institutions of the subregion have also started to address this urgent need by broadening and deepening their teaching curricula. Funding support is urgently required to develop the appropriate cadre of statistical professionals to deliver the required outputs. However, this training must be continuous and must be sustained over an appropriate period since the current turnover of trained staff is high. This programme of training will need to be intensive for a period of at least five years after which it may be reduced. The modalities of training will also have to be more focused and in addition to formal training at educational institutions there is much room for on-the-job training, group training at the national level and much more south-south capacity building. There is also an urgent need to strengthen cooperation and collaboration among the donor community in the delivery of assistance for statistical development. Several development agencies with very good intentions are currently operating in the Caribbean. There is a danger however, that efforts can be duplicated if agencies do not collaborate adequately. Development agencies therefore need to consult with each other much more and share there development agenda more freely if duplication is to be averted. Moreover, the pooling of resources can surely maximize the benefits to the countries of the subregion.

The use of databases of social and gender statistics in the development of policies and programmes

The unavailability of data to inform policy planning and formulation has been repeatedly cited as the main challenge to economic and social progress in the Caribbean. Furthermore, even in instances when data is produced, broader gaps exist between its production and eventual use for evidence-based policy formulation. Owing to those challenges, this report explores the use of databases of social and gender statistics in the development of policies and programmes in the Caribbean subregion. The report offers a general appraisal of databases against two main considerations: (i) maximizing the use of existing databases in relevant policies and programmes; and (ii) bridging the gaps in data availability of relevant statistical databases and their analyses. The assessment entailed an inventory of social and gender databases maintained by data producers in the region and analysis of the extent to which the databases are used for policy formulation. To that end, a literature search as well as consultations with a number of knowledgeable persons active in the field of statistics and data provision was conducted. Based on the review, a set of recommendations were produced to improve current practices within the region with respect evidence based policy formulation.

Systemic analysis of the health sector through the input-output matrix, 2000-2005

This article provides a systemic analysis of the health sector in Brazil, based on a study of its productive structure and its interactions with the other sectors of the economy. The article draws on unpublished data on the National Health Accounts provided by the Brazilian Geographical and Statistical Institute (ibge); and it proposes a methodology for harmonizing the System of National Accounts (input-output matrix) with the Health Satellite Accounts for 2000 and 2005. This sheds light on the relations that exist between the health sector and the other sectors the economy, through input-output indicators.

An assessment of big data for official statistics in the Caribbean: Challenges and opportunities

The data revolution for sustainable development has triggered interest in the use of big data for official statistics such that theUnited Nations Economic and Social Council considers it to be almost an obligation for statistical organizations to explore big data. Big data has been promoted as a more timely and cheaper alternative to traditional sources of official data, and one that offers great potential for monitoring the sustainable development goals. However, privacy concerns, technology and capacity remain significant obstacles to the use of big data. This study makes a case for incorporating big data in official statitics in the Caribbean by highlight the opportunities that big data provides for the subregion, while suggesting ways to manage the challenges. It serves as a starting point for further discussions on the many facets of big data and provides an initial platform upon which a Caribbean big data strategy could be built.

Multifractality, stickiness, and recurrence-time statistics

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Content Validation of the Operational Definitions of the Nursing Diagnoses of Activity Intolerance, Excess Fluid Volume, and Decreased Cardiac Output in Patients With Heart Failure

Objectives To consensually validate the operational definitions of the nursing diagnoses activity intolerance, excessive fluid volume, and decreased cardiac output in patients with decompensated heart failure. Method Consensual validation was performed in two stages: analogy by similarity of defining characteristics, and development of operational definitions and validation with experts. Results A total of 38 defining characteristics were found. Operational definitions were developed and content-validated. One hundred percent of agreement was achieved among the seven experts after five rounds. Ascites was added in the nursing diagnosis excessive fluid volume. Conclusion The consensual validation improves interpretation of human response, grounding the selection of nursing interventions and contributing to improved nursing outcomes. Implications for Practice Support the assessment of patients with decompensated heart failure. Objetivos Realizar a validacAo consensual das definicoes operacionais dos diagnosticos de enfermagem Intolerancia a atividade, Volume de liquidos excessivo e Debito cardiaco diminuido em pacientes com insuficiencia cardiaca descompensada. Metodo ValidacAo consensual em duas etapas: Analogia de semelhanca das caracteristicas definidoras e desenvolvimento de definicoes operacionais e validacAo com expertst. Resultados Foram encontradas 38 caracteristicas definidoras para os diagnosticos de enfermagem. Suas definicoes operacionais foram desenvolvidas e seu conteudo validado. Os resultados mostram que houve 100% de concordancia entre os sete experts apos cinco rodada. As definicoes operacionais foram classificadas com base no nivel de concordanica. Ascite foi acrescentada ao diagnostico Volume de liquidos excessivo. ConclusAo A validacAo consensual melhora a interpretacAo das respostas humanas, embasando a selecAo de intervencoes de enfermagem e contribuindo para melhorar os resultados. Implicacoes Para A Pratica Apoio a avaliacAo dos pacientes com insuficiencia cardiaca descompensada.

HTS and HTSn: New shape descriptors based on Hough transform statistics

With the widespread proliferation of computers, many human activities entail the use of automatic image analysis. The basic features used for image analysis include color, texture, and shape. In this paper, we propose a new shape description method, called Hough Transform Statistics (HTS), which uses statistics from the Hough space to characterize the shape of objects or regions in digital images. A modified version of this method, called Hough Transform Statistics neighborhood (HTSn), is also presented. Experiments carried out on three popular public image databases showed that the HTS and HTSn descriptors are robust, since they presented precision-recall results much better than several other well-known shape description methods. When compared to Beam Angle Statistics (BAS) method, a shape description method that inspired their development, both the HTS and the HTSn methods presented inferior results regarding the precision-recall criterion, but superior results in the processing time and multiscale separability criteria. The linear complexity of the HTS and the HTSn algorithms, in contrast to BAS, make them more appropriate for shape analysis in high-resolution image retrieval tasks when very large databases are used, which are very common nowadays. (C) 2014 Elsevier Inc. All rights reserved.

O papel do NGAL urinário como preditor diagnóstico e prognóstico da lesão aguda associada a sepse em pacientes admitidos na emergência clínica

Pós-graduação em Fisiopatologia em Clínica Médica - FMB