{"date":"2026-10-29","generated":"2026-10-29T02:06:35.815Z","authored":true,"groups":{"nmr":[{"title":"Image-Domain CT Metal Artifact Reduction Using an Endpoint-Conditioned Diffusion Bridge","link":"https://arxiv.org/abs/2610.36319","date":"2026-10-28T04:00:00.000Z","source":"arXiv med-ph","summary":"用端点条件扩散桥在图像域去除CT金属伪影，为临床影像去伪提供新思路。"},{"title":"Can future reirradiation justify upfront proton therapy? An extension of model-based proton therapy selection beyond primary-course NTCP benefit","link":"https://arxiv.org/abs/2610.36869","date":"2026-10-28T04:00:00.000Z","source":"arXiv med-ph","summary":"把质子治疗选择模型扩展到再程放疗，评估首程即用质子是否更具成本效益。"},{"title":"Retrospective macromolecular pool fraction mapping from conventional clinical MRI: a physics-guided self-supervised deep learning framework","link":"https://arxiv.org/abs/2610.37213","date":"2026-10-28T04:00:00.000Z","source":"arXiv med-ph","summary":"用物理引导自监督深度学习从常规临床MRI回溯映射大分子池分数，拓展定量成像。"}],"materials":[{"title":"Machine learning enabled design of sustainable alloys considering real world constraints","link":"https://arxiv.org/abs/2610.35946","date":"2026-10-28T04:00:00.000Z","source":"arXiv mtrl-sci","summary":"机器学习设计可持续合金时纳入真实世界约束，提升材料方案的工程可行性。"},{"title":"Amorphization-Depth-Dependent Bismuth Redistribution and Activation in Silicon for Quantum Devices","link":"https://arxiv.org/abs/2610.35993","date":"2026-10-28T04:00:00.000Z","source":"arXiv mtrl-sci","summary":"揭示硅中铋的非晶化深度依赖再分布与激活，为量子器件掺杂工艺提供依据。"},{"title":"STEM-Bank-26: An Open Dataset of Analytical Scanning Transmission Electron Microscopy Images and Spectra","link":"https://arxiv.org/abs/2610.36086","date":"2026-10-28T04:00:00.000Z","source":"arXiv mtrl-sci","summary":"发布含图像与谱的开放分析型STEM数据集，支撑显微表征的机器学习研究。"}],"design":[{"title":"UX Disciplines: Glossary","link":"https://www.nngroup.com/articles/ux-disciplines-glossary/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication","date":"2026-10-23T17:00:00.000Z","source":"NN/g","summary":"梳理用户体验各细分学科术语，帮助从业者厘清角色边界与协作语境。"},{"title":"AI in UX: Work Is Faster, But Practitioners Have Mixed Feelings","link":"https://www.nngroup.com/articles/ai-in-ux-survey-26/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication","date":"2026-10-23T17:00:00.000Z","source":"NN/g","summary":"调查显示AI提速UX工作但从业者态度分化，揭示效率与信任间的张力。"},{"title":"Synthetic Users vs. Human Respondents: Same Conclusion, Less Variation","link":"https://www.nngroup.com/articles/synthetic-users-vs-human-respondents/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication","date":"2026-10-16T17:00:00.000Z","source":"NN/g","summary":"对比合成用户与真人受访者，发现结论一致但合成数据变异更小，需警惕。"}]},"status":"ok","failedSources":[]}