Recruiting Retaining Advancing
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چکیده
This paper focuses on implementing a multi-agent simulation using distributed Linux cluster for swarm intelligence between multiple agents in the context of a battlefield or hostile area scenario. Different aspects from several different papers can provide ways in which to develop an autonomous agent algorithm. An autonomous agent algorithm will have the group of individual worker agents collectively making decisions based on available information over an encrypted communication link. The group will have to assess the threat level and provide an appropriate defensive response. Each worker agent will provide a time estimate and probability estimate to a broker agent who publishes the results, and assigns tasks using a bidding process.
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Recruiting and retaining medical patients in trials of complex interventions: practical experience of challenges and solutions in three multi-centre trials
Objectives 1. To consider the challenges of recruiting and retaining medical patients in trials of complex interventions, that include ‘psychological’ components. 2. To discuss practical solutions to these challenges that ensure trials recruit to target and maximise outcome data collection. Examples are taken from three trials of complex interventions: SMaRT Oncology-2, SMaRT Oncology-3 and SMa...
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