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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC81143PMC

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Introduction: Forensic mental health care is intended to promote recovery and reintegration, but is often experienced by patients as punitive and aversive. Forensic patients are rarely engaged in research to explore what matters most to them, and little guidance exists on how this engagement may be facilitated. In this paper, we explore perceived determinants of readiness to implement forensic patient-oriented research in a high-secure setting.

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Evaluating simulated teaching audio for teacher trainees using RAG and local LLMs.

Sci Rep

January 2025

Office for the Advancement of Educational Information, Chengdu Normal University, Chengdu, 610000, China.

In the training of teacher students, simulated teaching is a key method for enhancing teaching skills. However, traditional evaluations of simulated teaching typically rely on direct teacher involvement and guidance, increasing teachers' workload and limiting the opportunities for teacher students to practice independently. This paper introduces a Retrieval-Augmented Generation (RAG) framework constructed using various open-source tools (such as FastChat for model inference and Whisper for speech-to-text) combined with a local large language model (LLM) for audio analysis of simulated teaching.

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