This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
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Empowering digital health management with on-device large language models for glucose prediction: a model development and validation study. [PDF]
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Surgical strategies and long-term survival for third ventricle chordoid gliomas: a systematic review and clinical algorithm. [PDF]
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Directed acoustic shadow enhancement for pre-incision ultrasound localization and precise incision planning in multiple rib fractures undergoing SSRF: a retrospective comparative feasibility study. [PDF]
He X +7 more
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Operating smart grids by customizing large model agents. [PDF]
Dong H +9 more
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Why we must face our past: reconciliatory solidarity for global health ethics. [PDF]
Yeh MJ, Lee PH.
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The optimization path of smart ice and snow sports tourism industry development under hybrid neural network model. [PDF]
Sun Y, Nuobu N, Pan X, Chen W.
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Personality and Social Psychology Bulletin, 2007Differences in ingroup identification can influence the accessibility of historical memories. In Study 1, the authors examined individual differences in identity; in Study 2 they experimentally manipulated identity. In Study 1, high identifiers recalled fewer incidents of ingroup violence and hatred than did low identifiers.
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