1,721,617 research outputs found

    Innovative technologies for oral drug delivery

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    Oral dosage forms have always been considered the preferred route of delivery, due to lower unit dose cost and improved patient compliance. The great increase in the duration and quality of human life was made possible by the availability of effective and well tolerated drugs, able to deal adequately with serious and widespread diseases. Now, the pharmaceutical challenge is shifted to drugs and preparations more specifically and focused on the needs of patient or groups of patients. Personalization of medicines or formulations can occur on the basis of dose adjustment, drug combination or different delivery kinetics. Innovative drug delivery systems have the potential to make treatments safer and more effective, or more convenient or acceptable to patients. Drug delivery systems are complex formulations in which the elements can concur to determine the delivery rate and kinetics. This paper is focused on the description of two technologies, such as powder agglomeration and module assembling, as approaches to obtain personalized dosage forms, dosing flexibility and/or combination products, as a function of patient's needs and his therapeutic treatment

    On the Way to a Transparent HRI

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    Autonomous robots are expected to have safe and social interactions while sharing the environment and collaborating on several tasks with people. In such scenarios, robots' behaviours must be transparent to people so that they can understand and predict the robots' intentions and actions. In this work, we address the problem of transparency of a robot's behaviours with particular attention given to the use of legibility of the robot's actions, predictability of the final goal and the possibility of providing verbal explanations for a transparent human-robot interaction. Here, we also highlight different ways for adaptive generated explanations to be appropriately communicated to people and how to evaluate the overall transparency of the robots' behaviours

    Computational Models of Cognitive and Affective Theory of Mind

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    Theory of Mind is described as the capability to attribute mental states to oneself and others, and it can be essential for robots to favor more collaborative, adaptive, and emotionally appropriate behaviors when they are deployed in human-centered environments. In this work, we survey existing methodologies to introduce ToM in Human-Robot Interaction, focusing on two main formalizations: Cognitive ToM, focusing on reasoning about beliefs and intentions in a more task oriented way, and Affective ToM, which requires the agent to recognize and adapt to others' emotional states. While both approaches have advanced robot adaptability and user engagement, they are often developed in isolation. For this reason, we will discuss the need for integrated models that combine cognitive and affective reasoning, and outline future directions for more socially intelligent and emotionally aware robotic systems
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