Tenoscopia em cavalos com tenossinovite digital séptica ou não séptica: relato de 33 casos (1997-2001)

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Sexual Robots: The Social-Relational Approach and the Concept of Subjective Reference

In this paper we propose the notion of “subjective reference” as a conceptual tool that explains how and why human-robot sexual interactions could reframe users approach to human-human sexual interactions. First, we introduce the current debate about Sexual Robotics, situated in the wider discussion about Social Robots, stating the urgency of a regulative framework. We underline the importance of a social-relational approach, mostly concerned about Social Robots impact in human social structures. Then, we point out the absence of a precise framework conceptualizing why Social Robots, and Sexual Robots in particular, may modify users’ sociality and relationality. Within a psychological framework, we propose to consider Sexual Robots as “subjective references”, namely objects symbolically referring to human subjects: we claim that, for the user experience, every action performed upon a Sexual Robot is symbolically directed toward a human subject, including degrading and violent practices. This shifting mechanism may transfer the user relational setting from human-robot interactions to human-human interactions

Considering planned change anew: stretching large group interventions strategically, emotionally and meaningfully

Large Group Interventions, methods for involving “the whole system” in a change process, are important contemporary planned organizational change approaches. They are well known to practitioners but unfamiliar to many organizational researchers, despite the fact that these interventions address crucial issues about which many organizational researchers are concerned. On the other hand, these interventions do not appear to be informed by contemporary developments in organizational theorizing. This disconnect on both sides is problematic. We describe such interventions and their importance; illustrate them with extended descriptions of particular Future Search and Whole‐Scale™ change interventions; summarize research on strategy, emotion, and sensemaking that may inform them; and suggest questions about the interventions that may stimulate research and reflection on practice. We also discuss conditions that may foster effective engagement between Large Group Interventions practitioners and organizational researchers. Our approach represents a way to conduct a review that combines scholarly literature and skilled practice and to initiate a dialog between them

A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning

We present a novel guidance law that uses observations consisting solely of seeker line of sight angle measurements and their rate of change. The policy is optimized using reinforcement meta-learning and demonstrated in a simulated terminal phase of a mid-course exo-atmospheric interception. Importantly, the guidance law does not require range estimation, making it particularly suitable for passive seekers. The optimized policy maps stabilized seeker line of sight angles and their rate of change directly to commanded thrust for the mis-sile’s divert thrusters. The use of reinforcement meta-learning allows the optimized policy to adapt to target acceleration, and we demonstrate that the policy has superior performance as compared to augmented zero-effort miss guidance with perfect target acceleration knowledge. The optimized policy is computationally efficient and requires minimal memory, and should be compatible with today’s flight processors