812 research outputs found

    Social Experiences of Youth Who Have Moved to New Schools

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    Newcomers to social groups may experience victimization depending on their ethnic background. The current study’s goal was to investigate whether ethnic minority newcomers to social groups are victimized more than newcomers who belong to ethnic majority. Eighty-one female participants completed several questionnaires about: ethnic background, victimization incidents, social support, personality traits, self-esteem, social anxiety and life satisfaction. Participants were divided based on whether they were newcomers and whether they belonged to an ethnic minority or ethnic majority. Newcomers who belong to ethnic majority were victimized more than ethnic minority, while newcomers belonging to ethnic minorities had significantly lower self-esteem and life satisfaction scores, and higher social anxiety. Results revealed a significant negative correlation between victimization and social support

    Reinforcement Learning Approaches in Social Robotics

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    This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Since interaction is a key component in both reinforcement learning and social robotics, it can be a well-suited approach for real-world interactions with physically embodied social robots. The scope of the paper is focused particularly on studies that include social physical robots and real-world human-robot interactions with users. We present a thorough analysis of reinforcement learning approaches in social robotics. In addition to a survey, we categorize existent reinforcement learning approaches based on the used method and the design of the reward mechanisms. Moreover, since communication capability is a prominent feature of social robots, we discuss and group the papers based on the communication medium used for reward formulation. Considering the importance of designing the reward function, we also provide a categorization of the papers based on the nature of the reward. This categorization includes three major themes: interactive reinforcement learning, intrinsically motivated methods, and task performance-driven methods. The benefits and challenges of reinforcement learning in social robotics, evaluation methods of the papers regarding whether or not they use subjective and algorithmic measures, a discussion in the view of real-world reinforcement learning challenges and proposed solutions, the points that remain to be explored, including the approaches that have thus far received less attention is also given in the paper. Thus, this paper aims to become a starting point for researchers interested in using and applying reinforcement learning methods in this particular research field

    La variole du dromadaire chez le jeune au Maroc. Isolement et identification du virus. Mise au point du vaccin et application Ă  la prophylaxie

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    La variole cameline est une pathologie majeure de l'espèce. Le virus (Orthopoxvirus cameli) a pu être isolé au Maroc. La souche isolée après huit passages sur cellules Vero a été dénommée T8. Un vaccin inactivé a pu être mis au point et évalué par le test de séroneutralisation et par la détermination de l'index de protection après l'épreuve virulente. Ce vaccin a été utilisé dans les campagnes de vaccination au Maroc à partir de 1993. Chaque année, 15 000 jeunes dromadaires sont immunisés. Son innocuité est totale et son efficacité reconnue. (Résumé d'auteur
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