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Ningna Sun on Muck Rack

Ningna Sun

As seen in: Nature, Frontiers
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Articles

A hybrid forecasting and fuzzy comprehensive evaluation approach for graded early warning of experimental task frequency

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By Ningna Sun, Danni Zhu
| Nature Verified
Abstract Accurate prediction and graded warning of experimental task frequencies are critical for resource optimization and operational safety in large-scale scientific facilities. To address this, we propose a novel graded early-warning framework that seamlessly integrates deep sequential forecasting with fuzzy comprehensive evaluation.
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Application of persuasive system design in mobile health interventions for chronic disease management: a mini review

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By Kai Zhang, Yurong Jiang, Keyue Xi, Ningna Sun
| Frontiers
MINI REVIEW article Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1718371 This article is part of the Research TopicAI and Mobile Technologies for Population-Level Chronic Disease PreventionView all 6 articles 1 Introduction Mobile health (mHealth) refers to the application of wireless technologies, particularly mobile phones and associated platforms, within healthcare delivery systems to enhance patient engagement through mediated interactions.
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