Children's health care assistance according to their families: a comparison between models of Primary Care

OBJECTIVE To compare the health assistance models of Basic Traditional Units (UBS) with the Family Health Strategy (ESF) units for presence and extent of attributes of Primary Health Care (APS), specifically in the care of children. METHOD A cross-sectional study of a quantitative approach with families of children attended by the Public Health Service of Colombo, Paraná. The Primary Care Assessment Tool (PCA-Tool) was applied to parents of 482 children, 235 ESF units and 247 UBS units covering all primary care units of the municipality, between June and July 2012. The results were analyzed according to the PCA-Tool manual. RESULTS ESF units reached a borderline overall score for primary health care standards. However, they fared better in their attributes of Affiliation, Integration of care coordination, Comprehensiveness, Family Centeredness and Accessibility of use, while the attributes of Community Guidance/Orientation, Coordination of Information Systems, Longitudinality and Access attributes were rated as insufficient for APS. UBS units had low scores on all attributes. CONCLUSION The ESF units are closer to the principles of APS (Primary Health Care), but there is need to review actions of child care aimed at the attributes of APS in both care models, corroborating similar studies from other regions of Brazil.

Avaliação de necessidades de formação em professores do ensino secundário em Cabo Verde

II Resumo Cabo Verde é um país que tem acompanhado as grandes mudanças políticas, sociais, económicas e educativas, atribuindo um papel preponderante aos professores na educação/formação dos indivíduos. Neste sentido a formação inicial não pode constituir um acto “acabado” que não tem em linha de conta as mudanças que decorrem no seu seio. A formação contínua aparece com um processo de construção da mudança, apoiado no desenvolvimento profissional dos professores. A avaliação de necessidade de formação em professores do ensino secundário em Cabo Verde é o tema do trabalho de investigação, realizado nas escolas secundárias da ilha de Santo Antão, em Cabo Verde, no sentido de identificar questões problemáticas na formação inicial e contínua de professores e as suas implicações na qualidade educativa. Neste sentido, ao longo de 5 capítulos apresentamos os pontos desta investigação, estruturados de forma a se poder acompanhar a sua evolução. No 1º capítulo, apresenta-se a Problemática de Investigação, que constitui a parte inicial da dissertação, pela exposição do quadro conceptual do ensino secundário em Cabo Verde através da contextualização e identificação do problema, da formulação dos objectivos e questões de investigação. No 2º capítulo faz-se o percurso histórico/educativo de Cabo Verde, desde a época colonial, passando pela educação após a independência em 1975, à constituição da Lei de Bases do Sistema Educativo e a Reforma Educativa dos anos 90. No 3º capítulo, intitulado “A Formação Inicial e Continua de Professores em Cabo Verde”, é abordado o enquadramento teórico desta investigação, com referência à contextualização geral da formação e modelos de formação de professores, evoluindo para a realidade Cabo-verdiana, tendo em consideração as instituições de formação de professores e o contexto actual do ensino secundário em Cabo Verde. No 4º capítulo faz-se a apresentação da Metodologia de Investigação, adoptada num estudo extensivo, do qual abordamos a natureza da investigação e caracterizamos a amostra e respondentes. Como técnicas de recolha de dados, são utilizados: o inquérito por questionário (n=77), a professores do ensino secundário e o inquérito por entrevista (n=9), aos directores das escolas secundárias da ilha de Santo Antão e a formadores de professores em São Vicente. Como técnica de análise de dados, são utilizados diversos procedimentos estatísticos e a análise de conteúdo. O 5º capítulo corresponde a apresentação e discussão dos resultados da investigação desses três públicos analisados. Para finalizar, apresenta-se uma conclusão que corresponde a síntese dos resultados obtidos, propostas de sugestões de melhoria e limitações do estudo. Cabo Verde is a country willing to follow the great political, social, economic and educational changes. This important role have attributed to teachers to educate and train individuals. In this sense the initial training cannot be considered as a “finished” task without taking into consideration those changes. The in service training appears as a scientific and pedagogic autonomization towards the growing change. The Evaluation of Secondary School teacher training Needs in Cabo Verde constitutes an investigation work, carried out in Santo Antão's island Secondary schools, aiming to identify problems in initial and continuous teachers' training and their implications in the educational quality. In this sense, along five chapters we will present the points of this investigation, structured to facilitate the understanding of its evolution. In the first chapter we present the Problem of Investigation which is an introductory part of the dissertation, the conceptual theory of the Cabo Verde secondary education through the contextualization and identification of the problem, the formulation of the objectives and investigation issues. In the second chapter we present the Cabo Verde historical/educational background, from the colonial time, going through after independence in 1975, to the constitution of the Basic Educational Law of the System and the nineties Educational Reform. In the third chapter entitled “The Initial and in-service Teacher´s Training in Cabo Verde” brings the theoretical framework of this investigation, where we present a general contextualization of teachers' training and models, developed from the reality of Cabo Verde. In this regard we will consider the teachers' training institutions and the current secondary education context in Cabo Verde. In the fourth chapter we present the Research Methodology, adopted in an extensive study, of which we draw the nature of the investigation and we characterized the sample. We carried out questionnaire (n=77) to teachers, interviews (n=9) to headmasters from Santo Antão's island secondary schools and trainers from São Vicente. We used statistical analyses and content analyses as data analyse techniques. The fifth chapter deals with presentation the discussion of results of those three analyzed publics' investigation. Finally, we present a summary of the obtained results, suggestions for improvement and limitations of study.

The molecular basis of social behavior: models, methods and advances.

Elucidating the molecular and neural basis of complex social behaviors such as communal living, division of labor and warfare requires model organisms that exhibit these multi-faceted behavioral phenotypes. Social insects, such as ants, bees, wasps and termites, are attractive models to address this problem, with rich ecological and ethological foundations. However, their atypical systems of reproduction have hindered application of classical genetic approaches. In this review, we discuss how recent advances in social insect genomics, transcriptomics, and functional manipulations have enhanced our ability to observe and perturb gene expression, physiology and behavior in these species. Such developments begin to provide an integrated view of the molecular and cellular underpinnings of complex social behavior.

Toward a Statistically Robust Assessment of Social and Solidarity Economy Actors. Conceptual Development and Empirical Validation

Many definitions and debates exist about the core characteristics of social and solidarity economy (SSE) and its actors. Among others, legal forms, profit, geographical scope, and size as criteria for identifying SSE actors often reveal dissents among SSE scholars. Instead of using a dichotomous, either-in-or-out definition of SSE actors, this paper presents an assessment tool that takes into account multiple dimensions to offer a more comprehensive and nuanced view of the field. We first define the core dimensions of the assessment tool by synthesizing the multiple indicators found in the literature. We then empirically test these dimensions and their interrelatedness and seek to identify potential clusters of actors. Finally we discuss the practical implications of our model.

Two-sided learning in New Keynesian models: Dynamics, (lack of) convergence and the value of information

This paper investigates the role of learning by private agents and the central bank(two-sided learning) in a New Keynesian framework in which both sides of the economyhave asymmetric and imperfect knowledge about the true data generating process. Weassume that all agents employ the data that they observe (which may be distinct fordifferent sets of agents) to form beliefs about unknown aspects of the true model ofthe economy, use their beliefs to decide on actions, and revise these beliefs througha statistical learning algorithm as new information becomes available. We study theshort-run dynamics of our model and derive its policy recommendations, particularlywith respect to central bank communications. We demonstrate that two-sided learningcan generate substantial increases in volatility and persistence, and alter the behaviorof the variables in the model in a significant way. Our simulations do not convergeto a symmetric rational expectations equilibrium and we highlight one source thatinvalidates the convergence results of Marcet and Sargent (1989). Finally, we identifya novel aspect of central bank communication in models of learning: communicationcan be harmful if the central bank's model is substantially mis-specified.

Selective hiring and welfare analysis in labor market models

Firms select not only how many, but also which workers to hire. Yet, in standardsearch models of the labor market, all workers have the same probability of being hired.We argue that selective hiring crucially affects welfare analysis. Our model is isomorphicto a search model under random hiring but allows for selective hiring. With selectivehiring, the positive predictions of the model change very little, but the welfare costsof unemployment are much larger because unemployment risk is distributed unequallyacross workers. As a result, optimal unemployment insurance may be higher and welfareis lower if hiring is selective.

Bridging DSGE models and the raw data

A method to estimate DSGE models using the raw data is proposed. The approachlinks the observables to the model counterparts via a flexible specification which doesnot require the model-based component to be solely located at business cycle frequencies,allows the non model-based component to take various time series patterns, andpermits model misspecification. Applying standard data transformations induce biasesin structural estimates and distortions in the policy conclusions. The proposed approachrecovers important model-based features in selected experimental designs. Twowidely discussed issues are used to illustrate its practical use.

Calibration of stochastic volatility models via second order approximation: the Heston model case

Using a suitable Hull and White type formula we develop a methodology to obtain asecond order approximation to the implied volatility for very short maturities. Using thisapproximation we accurately calibrate the full set of parameters of the Heston model. Oneof the reasons that makes our calibration for short maturities so accurate is that we alsotake into account the term-structure for large maturities. We may say that calibration isnot "memoryless", in the sense that the option's behavior far away from maturity doesinfluence calibration when the option gets close to expiration. Our results provide a wayto perform a quick calibration of a closed-form approximation to vanilla options that canthen be used to price exotic derivatives. The methodology is simple, accurate, fast, andit requires a minimal computational cost.

Solving non-linear stochastic models by parameterizing expectations: An application to asset pricing with production

A new algorithm called the parameterized expectations approach(PEA) for solving dynamic stochastic models under rational expectationsis developed and its advantages and disadvantages are discussed. Thisalgorithm can, in principle, approximate the true equilibrium arbitrarilywell. Also, this algorithm works from the Euler equations, so that theequilibrium does not have to be cast in the form of a planner's problem.Monte--Carlo integration and the absence of grids on the state variables,cause the computation costs not to go up exponentially when the numberof state variables or the exogenous shocks in the economy increase. \\As an application we analyze an asset pricing model with endogenousproduction. We analyze its implications for time dependence of volatilityof stock returns and the term structure of interest rates. We argue thatthis model can generate hump--shaped term structures.