Psychosocial factors are strongly associated with unplanned recurrent readmissions or mortality following an admission to hospital for HF. Further research is needed to show whether recognition of these factors and support tailored to individual patients' needs will improve outcomes.

Sokoreli, I. et al. (2016) Depression as an independent prognostic factor for all-cause mortality after a hospital admission for worsening heart failure. International Journal of Cardiology, 220, pp. 202-207. (doi:10.1016Cardiology, 220, pp. 202-207. (doi:10. /j.ijcard.2016 This is the author's final accepted version.There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.http://eprints.gla.ac.uk/129512/ This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT1 Depression as an independent prognostic factor for all-cause mortality after a hospital admission for worsening heart failure I. Sokoreli 1,2, , J.J.G. E-mail address: ioanna.sokoreli@philips.com (I. Sokoreli). A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 2 AbstractBackground: Depression is associated with increased mortality among patients with chronic

With the increase of complexity in automotive control systems, the amount of data that needs to be managed is also increasing. Using a real-time database management system (RTDBMS) as a tightly integrated part of the software development process can give significant benefits with respect to data management. However, the variability of data management requirements in different systems, and the heterogeneousness of the nodes within a system may require a distinct database configuration for each node. In this paper we introduce a software engineering approach for generating RTDBMS configurations suitable for resource-constrained automotive control systems, denoted the COMET development suit. Using software engineering tools to assist developers with design and analysis of the system under development, different database configurations can be generated from prefabricated components. Each generated COMET database contains only functionality required by the node it is executing on.