[Three approaches to doctor-patient communication and prevention : Which model for which situation ?].

Doctors learn different communication approaches for use during prevention consultations to promote healthy habits, so as to set up a partnership and to promote patient autonomy. Three of these approaches are shared decision making, when there is more than one reasonable choice, motivational interviewing, principally for behaviour change and therapeutic education, a pedagogical approach helping patients develop skills so that they may have a better management of their chronic illness. This article presents an overview of the commonalities and the differences between these approaches, often considered separately, nevertheless they are complementary and in practice, using elements of all three during a consultation could improve preventative care.

[Stroke patient education: scientific evidence, practical application].

Stroke patient education: scientific evidence, practical application Stroke is a sudden and brutal event that changes every aspect of daily life. The patient and his family will need to develop skills in self-management of this chronic disease over the long term, managing risk factors, lifestyle changes and consequences of stroke. In recent years, randomized clinical trials have demonstrated the effectiveness of patient education and of several lifestyle-changing interventions adopted after a stroke.

Influence of p-n junction mechanism and alumina overlayer on the photocatalytic performance of TiO nanotubes.

Modified hybrid structures of TiO nanotubes (TONT), p-Al doped TONT/n-TONT with an additional overlayer of alumina, are constructed to achieve 99.57% photodegradation of the stable organic pollutant methylene blue (MB) within 180 min, a degradation rate 17 times higher than pure TONTs. The anodization at three different temperatures 2, 28 and 40 °C followed by impregnation of Al is used for their preparation.

BioTIME: A database of biodiversity time series for the Anthropocene.

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series.