Federated metadata-constrained iRadonMAP framework with mutual learning for all-in-one computed tomography imaging
Peer-Reviewed Publication
Updates every hour. Last Updated: 31-Oct-2025 17:11 ET (31-Oct-2025 21:11 GMT/UTC)
A research paper by scientists at Southern Medical University presented a novel federated metadata-constrained method with mutual learning for all-in-one CT reconstruction.
The research paper, published on Aug. 27, 2025 in the journal Cyborg and Bionic Systems.
Young children have a lot of trust in scientists, and watching superhero TV shows with villainous researchers has little impact – and only in certain situations, a new study shows. Findings showed that children’s trust only declined when the villains in a video they watched were explicitly labeled as scientists or talked about them “doing science” in the show.
This study proposes an innovative curriculum integrating intellectual property education with ideological and political education, emphasizing lifelong, practice-driven, and internationally oriented learning. To address limitations in content diversity, practical integration, and global perspective, the paper advocates using AI to develop intelligent, personalized learning platforms. Results indicate that this integrated approach enhances teaching quality, students’ social responsibility, and practical competence, offering theoretical and practical guidance for advancing professional degree education in the digital era.
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