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Estudo documental de abordagem histórico social, cujo objeto foi a trajetória de crescimento dos cursos superiores de enfermagem na região Centro-Oeste do Brasil. Os objetivos foram: levantar o número de cursos superiores de enfermagem criados na região Centro-Oeste, na série histórica 1933-2006; comparar o número de cursos vinculados a instituições públicas aos vinculados a instituições privadas na região em estudo; e comentar os nexos entre o contexto histórico e a configuração desses cursos no que se refere à vinculação institucional, ao longo dos anos. Até o final do ano de 1999, haviam sido criados na região Centro-Oeste 14 cursos de enfermagem, dos quais 57% eram privados e 43% públicos. Em decorrência das políticas de educação adotadas no país, principalmente na década de 90, observa-se a criação de mais 30 cursos na região entre os anos 2000 e 2006, perfazendo um total de 44 cursos superiores de enfermagem, dos quais 79,5% são privados e 20,5% públicos, sendo Goiás, o estado com maior concentração destes cursos. A rede privada expandiu-se na região e concentra, atualmente, a grande maioria dos cursos de enfermagem, o que nos faz entender que a mesma determina, quase que por completo, o perfil do futuro profissional de enfermagem.

Environmental data are often spatially correlated and sometimes include observations below or above detection limits (i.e., censored values reported as less or more than a level of detection). Existing research studies mainly concentrate on parameter estimation using Gibbs sampling, and most research studies conducted from a frequentist perspective in spatial censored models are elusive. In this paper, we propose an exact estimation procedure to obtain the maximum‐likelihood estimates of fixed effects and variance components, using a stochastic approximation of the expectation–maximization algorithm (Delyon, Lavielle, & Moulines). This approach permits estimation of the parameters of spatial linear models when censoring is present in an easy and fast way. As a by‐product, predictions of unobservable values of the response variable are possible. Motivated by this algorithm, we develop local and global influence measures on the basis of the conditional expectation of the complete‐data log‐likelihood function, which eliminates the complexity associated with the approach of Cook for spatial censored models. Some useful perturbation schemes are discussed. The newly developed method is illustrated using data from a dioxin‐contaminated site in Missouri that contain left‐censored data and a data set related to the depths of a geological horizon that contains both left‐ and right‐censored observations. In addition, a simulation study is presented that explores the accuracy of the proposed measures in detecting influential observations under different perturbation schemes. The methodology addressed in this paper is implemented in the R package CensSpatial.

The rate coefficient of the cis-3-hexene + Cl atoms reaction at 296 ± 2 K and 750 ± 10 Torr was determined using the relative rate technique. The reaction was investigated using an 80 L Teflon reaction bag and a gas chromatograph coupled with flame-ionization detection. Chlorine atoms were produced by the photolysis of trichloroacetyl chloride. No previous experimental data was available in the literature, to the best of our knowledge. The mean second-order rate coefficient value found was (4.13 ± 0.51) × 10 -10 cm 3 molecule -1 s -1. The experimental value agrees with the rate coefficient estimated by structure-reactivity analysis, 4.27 × 10 -10 cm 3 molecule -1 s -1. Moreover, both addition and hydrogen abstraction channels contribute to the global kinetics, with branching ratios 70:30. Effective lifetime with respect to Cl atoms is predicted as 67.2 hours; however, the cis-3-hexene + Cl channel is suggested to be non-negligible at atmospheric conditions. Other atmospheric implications are discussed.

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