198 resultados para machine communication


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Après une revue de la littérature concernant les médias utilisés dans le cadre de campagne de prévention, le matériel d'exposition est présenté. Le contenu et les moyens mis en oeuvre ne sont traités que dans la mesure où ils influencent directement la présentation du matériel. Enfin pour clore ce travail, une discussion concernant les possibilités et difficultés d'évaluation de ces actions de diffusion de l'information. [Auteur, p. 2]

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The decision-making process regarding drug dose, regularly used in everyday medical practice, is critical to patients' health and recovery. It is a challenging process, especially for a drug with narrow therapeutic ranges, in which a medical doctor decides the quantity (dose amount) and frequency (dose interval) on the basis of a set of available patient features and doctor's clinical experience (a priori adaptation). Computer support in drug dose administration makes the prescription procedure faster, more accurate, objective, and less expensive, with a tendency to reduce the number of invasive procedures. This paper presents an advanced integrated Drug Administration Decision Support System (DADSS) to help clinicians/patients with the dose computing. Based on a support vector machine (SVM) algorithm, enhanced with the random sample consensus technique, this system is able to predict the drug concentration values and computes the ideal dose amount and dose interval for a new patient. With an extension to combine the SVM method and the explicit analytical model, the advanced integrated DADSS system is able to compute drug concentration-to-time curves for a patient under different conditions. A feedback loop is enabled to update the curve with a new measured concentration value to make it more personalized (a posteriori adaptation).

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This paper aims to present an ePortfolio project led for two years in a multilingual and interdisciplinary Master's program in public discourse and communication analysis offered by the Faculty of Arts of the University of Lausanne (Switzerland). Globally, the project - named Learn to communicate skills - offers a reflection about academic skills and their transferability to the professional world. More precisely, the aim of the project is to make students aware of the importance of reflexive learning to make their skills transferable to other contexts.

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Since independent regulatory agencies (IRAs) became key actors in European regulatory governance in the 1990s, a significant share of policy-making has been carried out by organizations that are neither democratically elected nor directly accountable to elected politicians. In this context, public communication plays an important role. On the one hand, regulatory agencies might try to use communication to raise their accountability and thereby to mitigate their democratic deficit. On the other hand, communication may be used with the intent to steer the behavior of the regulated industry when more coercive regulatory means are unfeasible or undesirable. However, empirical research focusing directly on how regulators communicate is virtually non-existent. To fill this gap, this paper examines the public communication of IRAs in four countries (the United Kingdom, Germany, Ireland, and Switzerland) and three sectors (financial services, telecommunications, and broadcasting). The empirical analysis, based on qualitative interviews and a quantitative content analysis, indicates that the organization of the communication function follows a national pattern approach while a policy sector approach is helpful for understanding the use of communication as a soft tool of regulation.

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Cell-to-cell communication is a process necessary for physiological tissue homeostasis and appears often altered during disease. Gap junction channels, formed by connexins, allow the direct intercellular communication between adjacent cells. After a brief review of the pathophysiology of atherosclerosis, we will discuss the role of connexins throughout the different stages of the disease.

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OBJECTIVE: The aim of this study was to evaluate the impact of communication skills training (CST) on working alliance and to identify specific communicational elements related to working alliance. METHODS: Pre- and post-training simulated patient interviews (6-month interval) of oncology physicians and nurses (N=56) who benefited from CST were compared to two simulated patient interviews with a 6-month interval of oncology physicians and nurses (N=57) who did not benefit from CST. The patient-clinician interaction was analyzed by means of the Roter Interaction Analysis System (RIAS). Alliance was measured by the Working Alliance Inventory - Short Revised Form. RESULTS: While working alliance did not improve with CST, generalized linear mixed effect models demonstrated that the quality of verbal communication was related to alliance. Positive talk and psychosocial counseling fostered alliance whereas negative talk, biomedical information and patient's questions diminished alliance. CONCLUSION: Patient-clinician alliance is related to specific verbal communication behaviors. PRACTICE IMPLICATIONS: Working alliance is a key element of patient-physician communication which deserves further investigation as a new marker and efficacy criterion of CST outcome.

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La thèse essaie de montrer comment il est possible d'offrir une implémentation fonctionnelle d'un agent doté d'une conscience (psychologique). Une première étape étudie les différentes approches, définitions et théories de la conscience proposées par la littérature. Cette étude dégage plus particulièrement un modèle psychologique qui offre une modélisation des fonctionnalités de la conscience, de ses éléments constitutifs et des relations entre ces éléments. Cet effort de formalisation permet d'identifier les corrélations computionnelles du modèle ouvrant ainsi la voie à une implémentation fonctionnelle de la conscience. Une seconde étape réuni les outils et méthodes informatiques existants en vue de procéder à une telle implémentation. En particulier, celle-ci repose sur un modèle de communication permettant d'élaborer une machine virtuelle basée sur des processus concurrents synchronisés. La troisième étape consiste à implémenter les corrélations computationnelles dont l'une est une fonction de délibération qui, après une analyse itérative de son état et de son environnement (machine à état), aboutit à la sélection d'une action. Une deuxième fonction est la formation de contextes, autrement dit l'apprentissage d'automatismes, consistant à compiler la délibération. Cette compilation s'opère grâce à un processus concurrent reflétant le processus de délibération, dotant ainsi l'agent de la capacité d'observer son propre fonctionnement. La thèse se conclut en proposant quelques axes de recherches et d'applications futures susceptibles de prolonger le travail.