School health promotion and teacher professional identity

PURPOSE – Health and education are inextricably linked. Health promotion sits somewhat uncomfortably within schools, often remaining a marginal aspect of teachers’ work. The purpose of this paper is to examine the compatibility of an HP-initiative with teacher professional identity. DESIGN/METHODOLOGY/APPROACH – A qualitative research design was adopted consisting of semi-structured interviews. In total, 49 teachers in two school districts in the Auvergne region in central France were interviewed in depth post having completed three years’ involvement in a health promoting schools initiative called “Learning to Live Better Together��� (“Apprendre a Mieux Vivre Ensemble”). FINDINGS – Teachers in the study had a broad conceptualisation of their role in health promotion. In keeping with international trends, there was more success at classroom than at whole school level. While generally teachers can be reluctant to engage with health promotion, the teachers in this study identified having little difficulty in understanding their professional identity as health promoters and identified strong compatibility with the HP-initiative. PRACTICAL IMPLICATIONS – Teachers generally viewed professional development in health promotion in a positive light when its underlying values were commensurate with their own and when the context was seen as compatible with the school mission. The promotion of health in schools needs to be sensitive to professional identity and be tailored specifically to blend more successfully with current teacher identity and practice. ORIGINALITY/VALUE – The promotion of health in schools needs to be sensitive to professional identity and be tailored specifically to blend more successfully with current teacher identity and practice.

An R package for the integrated analysis of metabolomics and spectral data

Recently, there has been a growing interest in the field of metabolomics, materialized by a remarkable growth in experimental techniques, available data and related biological applications. Indeed, techniques as Nuclear Magnetic Resonance, Gas or Liquid Chromatography, Mass Spectrometry, Infrared and UV-visible spectroscopies have provided extensive datasets that can help in tasks as biological and biomedical discovery, biotechnology and drug development. However, as it happens with other omics data, the analysis of metabolomics datasets provides multiple challenges, both in terms of methodologies and in the development of appropriate computational tools. Indeed, from the available software tools, none addresses the multiplicity of existing techniques and data analysis tasks. In this work, we make available a novel R package, named specmine, which provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, and feature selection. Importantly, the implemented methods provide adequate support for the analysis of data from diverse experimental techniques, integrating a large set of functions from several R packages in a powerful, yet simple to use environment. The package, already available in CRAN, is accompanied by a web site where users can deposit datasets, scripts and analysis reports to be shared with the community, promoting the efficient sharing of metabolomics data analysis pipelines.

From perfect strangers to research partners: a study of relationships, resource sharing and perceived benefits within R&D cooperation networks

Doctoral thesis in Marketing and Strategy.