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P Serna

Publications and source records attributed to P Serna.

3 recordsLinked to original sources

Child maltreatment in American Indian and Alaska Native communities: integrating culture, history, and public health for intervention and prevention.

This article addresses child maltreatment intervention and prevention among American Indians and Alaska Natives. The authors argue that history and culture must be included as context and variables for developing and implementing prevention programs in Indian Country. They propose that the public health violence prevention model would benefit from incorporating tenets of the history and culture(s) of diverse groups, in this instance American Indians and Alaska Natives. The authors offer an approach that focuses on population- and individual-level risk and protective factors for child maltreatment intervention and prevention in American Indian/Alaska Native communities. They include suggestions and examples for doing the work in Indian Country.

Alaska↗

Listening, priming and emotion under a neuroleptic drug.

The authors previously found that emotional arousal increased the asymmetry of facial and other lateralised expressive behaviours. Chlorpromazine equalized the symmetry of behaviour by reducing emotional arousal rather than by blocking all behaviour. These results raise the question of whether the perception of emotion is also lateralised and similarly influenced by chlorpromazine. Sixteen student volunteers were administered placebo and 50 mg of chlorpromazine in tablet form on separate occasions two hours before carrying out two tests of lateralised perception. Dichotic recognition of positive and neutral but not negative emotional words revealed a right ear advantage. No drug effect was observed. The speed of recognition of words and nonwords was also examined following emotionally toned priming words lateralised to the visual hemifields. This task showed some parallel findings to the dichotic test but some lateralised effect of the drug was observed.

Adult↗

Support vector machines for predictive modeling in heterogeneous catalysis: a comprehensive introduction and overfitting investigation based on two real applications.

This works provides an introduction to support vector machines (SVMs) for predictive modeling in heterogeneous catalysis, describing step by step the methodology with a highlighting of the points which make such technique an attractive approach. We first investigate linear SVMs, working in detail through a simple example based on experimental data derived from a study aiming at optimizing olefin epoxidation catalysts applying high-throughput experimentation. This case study has been chosen to underline SVM features in a visual manner because of the few catalytic variables investigated. It is shown how SVMs transform original data into another representation space of higher dimensionality. The concepts of Vapnik-Chervonenkis dimension and structural risk minimization are introduced. The SVM methodology is evaluated with a second catalytic application, that is, light paraffin isomerization. Finally, we discuss why SVMs is a strategic method, as compared to other machine learning techniques, such as neural networks or induction trees, and why emphasis is put on the problem of overfitting.

Alkenes↗