background: morning report sessions had long-standing history in medical education. morning report management is an important aspect of professional medical education. methods: to evaluate the contents of the morning report sessions, including management, staff training, deep learning, attention to learners at different level of education, record keeping, feedback, and final summarizing, direct...

There is continuing public debate in Australia and overseas about the value of training for car drivers as a means of improving driver behaviour and reducing road crash involvement. This document provides an up-to-date summary of scientifically-based Australian and international research about the effectiveness of driver training programs for: ■ learner drivers, ■ young/recently licensed driver...

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In this paper we address two key challenges for extractive multi-document summarization: the search problem of finding the best scoring summary and the training problem of learning the best model parameters. We propose an A* search algorithm to find the best extractive summary up to a given length, which is both optimal and efficient to run. Further, we propose a discriminative training algorit...

In this paper we address two key challenges for extractive multi-document summarization: the search problem of finding the best scoring summary and the training problem of learning the best model parameters. We propose an A* search algorithm to find the best extractive summary up to a given length, which is both optimal and efficient to run. Further, we propose a discriminative training algorit...

Introduction  Communication breakdown, a consequence of hearing impairment (HI), is being fought by fitting amplification devices and providing auditory training since the inception of audiology. The advances in both audiology and rehabilitation programs have led to the advent of computer-based auditory training programs (CBATPs). Objective  To review the existing literature documenting the evi...

In this paper we address the problem of optimizing global multidocument summary quality using A* search and discriminative training. Different search strategies have been investigated to find the globally best summary. In them the search is usually guided by an existing prediction model which can distinguish between good and bad summaries. However, this is problematic because the model is not t...

Multi-layered (i.e. deep) artificial neural networks have recently undergone a resurgence in popularity due to improved processing capabilities and the increasing availability of large datasets. Popular in the 1980’s and before, they were largely abandoned in favor of convex methods (such as support vector machines) that came with optimality guarantees and often gave better results in far less ...