BACKGROUND AND STUDY AIMS Skills in gastrointestinal endoscopy mainly depend on experience and practice. Training on endoscopy simulators may decrease the time needed to reach competency in endoscopy. The purpose of the study was to determine whether the GI-Mentor, a virtual reality endoscopy simulator, can distinguish between beginners and experts in endoscopy and to assess whether training im...

BACKGROUND Experts have recommended training and standardisation as promising approaches to improve handovers and minimise the negative consequences of discontinuity of care. Yet the content and delivery of handover training have been only superficially examined and described in literature. OBJECTIVE The aim of this study was to formulate recommendations for effective handover training and to...

introduction: identifying training needs and implementing appropriate courses is one of the important steps to empower managers and experts specialists. this has the most important role in improving organizational performance. in this study, considering the importance of training programs effectiveness, the training needs of managers and experts and their relation to individual and institutiona...

This paper presents a variational Bayes (VB) method for normalized Gaussian network, which is a mixture model of local experts. Based on the Bayesian framework, we introduce a meta-learning mechanism to optimize the prior distribution and the model structure. In order to search for the optimal model structure efficiently, we also develop a hierarchical model selection method. The performance of...

We propose a new learning algorithm for regression modeling. The method is especially suitable for optimizing neural network structures that are amenable to a statistical description as mixture models. These include mixture of experts, hierarchical mixture of experts (HME), and normalized radial basis functions (NRBF). Unlike recent maximum likelihood (ML) approaches, we directly minimize the (...

Long-term instrumental music training is an intense, multisensory and motor experience that offers an ideal opportunity to study structural brain plasticity in the developing brain in correlation with behavioral changes induced by training. Here, for the first time, we demonstrate structural brain changes after only 15 months of musical training in early childhood, which were correlated with im...

It is possible to combine multiple latent-variable models of the same data by multiplying their probability distributions together and then renormalizing. This way of combining individual "expert" models makes it hard to generate samples from the combined model but easy to infer the values of the latent variables of each expert, because the combination rule ensures that the latent variables of ...

There is growing evidence that individuation experience is necessary for development of expert object discrimination that transfers to new exemplars. Individuation training in human studies has primarily used label association tasks where labels are learned at both the individual and more abstract (basic) level, and expertise criterion requires that individual-level judgments become as fast as ...

During disasters, especially following earthquakes, health systems are expected to play an essential role in reducing mortality and morbidity. The most significant naturally occurring disaster in Iran is earthquakes; they have killed >180,000 people in the last 90 years. According to the current plan in 2007, the disaster management system of Iran is composed of three main work groups: (1) Prev...