- Priory Medical Journals Online
Priory Medical Journals were founded in 1994 and are the world's first web based medical journals The first of our journals was Psychiatry On-Line, our second Medicine Online in early January 1995 Each medical journal is available free to all medical and nursing staff
- Medical specialisation - Priory Medical Journals Online
The emergence of medical specialties in the nineteenth century: a discussion of the historiography Alexander Silvester Introduction Medical specialization plays a key role in contemporary medicine
- Publications catalogue | British History Online
This catalogue lists every series or publication on British History Online Most of our volumes are part of series; those that are single publications are listed as such
- Effect of Theophylline as Adjunct to Inhaled . . .
COPD indicates chronic obstructive pulmonary disease a The number of potential participants identified by screening of records and sent invitations was not recorded The participants physically seen for screening is provided b Adherence, as assessed by pill counting, indicated participant nonadherence because less than 70% of total doses were taken
- Acteon Communication and Learning
Want to make an impact? Acteon are looking for an administrator to join our busy medical communications team For a full job spec and further information please visit our vacancies page
- Browse By Author: P - Project Gutenberg
33000+ free ebooks online Did you know that you can help us produce ebooks by proof-reading just one page a day? Go to: Distributed Proofreaders
- Publications catalogue | British History Online
Sources relating to the area now covered by the 32 London boroughs, including the historic county of Middlesex, and parts of Surrey, Essex and Kent
- CVonline: Image Databases - University of Edinburgh
This is a collated list of image and video databases that people have found useful for computer vision research and algorithm evaluation An important article How Good Is My Test Data?Introducing Safety Analysis for Computer Vision (by Zendel, Murschitz, Humenberger, and Herzner) introduces a methodology for ensuring that your dataset has sufficient variety that algorithm results on the
|