Probabilistic reasoning with a bayesian DNA device based on strand displacement

We present a computing model based on the DNA strand displacement technique which performs Bayesian inference. The model will take single stranded DNA as input data, representing the presence or absence of a specific molecular signal (evidence). The program logic encodes the prior probability of a disease and the conditional probability of a signal given the disease playing with a set of different DNA complexes and their ratios. When the input and program molecules interact, they release a different pair of single stranded DNA species whose relative proportion represents the application of Bayes? Law: the conditional probability of the disease given the signal. The models presented in this paper can empower the application of probabilistic reasoning in genetic diagnosis in vitro

Assessment of the IMIA educational accreditation process

The International Medical Informatics Association (IMIA) biomedical informatics educational recommendations of 2010 provided an excellent guide for institutions across the world in updating their curricula or establishing new programs. IMIA subsequently decided to offer an accreditation process, guided by the earlier recommendations, to assess existing educational programs in the field of biomedical informatics. This paper presents an overview and SWOT analysis of the accreditation process based on a two-year trial period at three sites across continents. Because other sites are now requesting similar accreditation visits by IMIA, the lessons learned by the committee that performed the assessments during trial period will provide useful guidance for both IMIA and those educational institutions. © 2013 IMIA and IOS Press

Activity Substitutability and Degree of Specialization among Deer and Elk Hunters in Multiple States

This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Taylor & Francis and can be found at: http://www.tandfonline.com/toc/ulsc20/current#.UgAdonfAF8E.This article examines relationships between hunter specialization and activity substitutability. Data were obtained from a mail survey of 6,983 deer hunters in eight states and 2,584 elk hunters in three states. Activity substitutability was measured by asking what activity would provide the same satisfaction as deer or elk hunting. Between 41% and 59% of deer hunters and 38% to 46% of elk hunters reported substitutes such as fishing and other big game hunting. Cluster analyses of hunter skill, centrality, equipment, and experience revealed four specialization groups (casual, intermediate, focused, veteran). Casual hunters were most likely to report a substitute followed by intermediates, focused, and veterans. This inverse relationship between concepts was consistent across states and species hunted. Veteran hunters were most likely to report other big game hunting as a substitute, whereas casual hunters in many states were most likely to consider fishing as a substitute