In 2012, an academic health sciences library serving a large research university and medical center introduced synchronous online training for a diverse group of users, including clinicians, researchers, faculty, and distance students. Participants in these "Express Training" classes completed two surveys to assess their experiences. Survey results indicated classes were well received but revea...

Probabilistic atlases provide pivotal information for medical image segmentation and registration. Typically an atlas has been built on a common target image space which other training images are mapped onto. This introduces bias towards to the chosen target. Here we present a method to choose a target image which has the least bias considering all training images. Our method chooses a target i...

Virtual worlds (VWs), in which participants navigate as avatars through three-dimensional, computer-generated, realistic-looking environments, are emerging as important new technologies for distance health education. However, there is relatively little documented experience using VWs for international healthcare training. The Geneva Foundation for Medical Education and Research (GFMER) conducte...

This study that is aimed at investigating the effectiveness of "in-service training" courses in public sector organizations, as a result of the findings of a process modification training course in public organizations of Kermanshah province where 68 employees of 32 organizations of public sector (including governmental and non-governmental) scientifically studied 27 processes as a sample, duri...

Acute hepatic failure Organ specific problems Update 2012 (pdf) Module Authors (Update 2012) Chris WILLARS Consultant, Liver Intensive Care Unit, Institute of Liver Studies, King’s College Hospital, London, UK Julia WENDON Consultant and Senior Lecturer, Liver Intensive Care Unit, Institute of Liver Studies, King’s College Hospital, London, UK Module Authors (first edition) Julia Wendon Institu...

Technologists working in nuclear medicine departments in sub-Saharan African countries do not have access to formal training in nuclear medicine and have been recruited mostly from related fields of radiologic technology. Because of the nature of the specialty, the numbers that require training are small, and it is therefore not cost-effective for higher-education institutions in these countrie...

We have developed training materials for nuclear medicine technologists to be used in distance-assisted training programs. We have completed our first pilot project in Asia and report that there will be nearly 500 students around the world, in Asia, Africa, Central America and South America, using our materials during the coming year.

A distance based classification is one of the popular methods for classifying instances using a point-to-point distance based on the nearest neighbour or k-NEAREST NEIGHBOUR (k-NN). The representation of distance measure can be one of the various measures available (e.g. Euclidean distance, Manhattan distance, Mahalanobis distance or other specific distance measures). In this paper, we propose ...

In template based speech recognition, there is a need for a high-performant distance measure between speech frames. Some well known metrics include the Euclidean and the Mahalanobis distance. The recent tendency is to perform a local scaling of the distance metric, defining a set of classes and computing a set of weights for each of these classes. Discriminative training approaches have already...

Educational theorists have long associated distance education with self-study. In recent years, however, increasingly advanced technologies have made it possible to conduct distance education in ways that give primacy to other aspects of learning. Simonson et al. (1999) have developed the notion that these new approaches may have a particular relationship to US cultural and pedagogical traditio...