BACKGROUND While shared decision making (SDM) and adherence to clinical practice guidelines (CPGs) are important, some believe they are incompatible. This study explored the mutual influence between physicians' intention to engage in SDM and their intention to follow CPGs. METHODS Embedded within a clustered randomized trial to assess the impact of training physicians in SDM about using antib...

When we observe a motor act (e.g. grasping a cup) done by another individual, we extract, according to how the motor act is performed and its context, two types of information: the goal (grasping) and the intention underlying it (e.g. grasping for drinking). Here we examined whether children with autistic spectrum disorder (ASD) are able to understand these two aspects of motor acts. Two experi...

We propose a novel approach for solving unary SAS planning problems. This approach extends an SAS instance with new state variables representing intentions about how each original state variable will be used or changed next, and splits the original actions into several stages of intention followed by eventual execution. The result is a new SAS instance with the same basic solutions as the origi...

We propose a general model underlying the problem of designing trading strategies that leak no information to frontrunners and other exploiters. We study major scenarios in the market and design a family of algorithms that can be proven to leak no information in important scenarios. These algorithms can serve as building blocks for more challenging real-world scenarios beyond our current scope....

Email management has a fundamental role in modern work productivity. In this thesis we present evidence that email management can be potentially improved by the effective use of machine learning techniques to model different aspects of user intention. We initially propose a taxonomy of user intentions in terms of Speech Acts applied to email communication, or “email acts”, and show that email a...

In this paper, we propose Intention from Motion, a new paradigm for action prediction where, without using any contextual information, we can predict human intentions all originating from the same motor act, non specific of the following performed action. To this purpose, we have designed a new multimodal dataset consisting of a set of motion capture marker 3D data and 2D video sequences where,...

Background: Consumption of fast food, as a consequence of the modern industrial society, has increased in recent years among teenagers and young people. The purpose of this study was to investigate the effect of fast food consumption on female students in Yazd University of Medical Sciences based on the Prototype/Willingness Model. Methods: In this descriptive-analytic study, 245 female dormito...