Rui Sun
Newcastle University
7 Papers
Rui Sun is an academic researcher from Newcastle University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 2, co-authored 5 publications.
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Papers
Use of Social Media Data in Disaster Management: A Survey
Jedsada Phengsuwan,Tejal Shah,Nipun Balan Thekkummal,Zhenyu Wen,Rui Sun,Divya Pullarkatt,Hemalatha Thirugnanam,Maneesha Vinodini Ramesh,Graham Morgan,Philip James,Rajiv Ranjan +10 more
TL;DR: In this article, a survey of how social media data contribute to disaster management and the methodologies for social media management and analysis in disaster management is provided. But to the best of our knowledge, there is no published literature that identifies the research problems and provides a research taxonomy for the classification of the common research issues.
Tolerability of sibutramine during a 6-week treatment period in high-risk patients with cardiovascular disease and/or diabetes: a preliminary analysis of the Sibutramine Cardiovascular Outcomes (SCOUT) Trial.
Aldo P. Maggioni,Ian D. Caterson,Walmir Coutinho,Nick Finer,Luc Van Gaal,Arya M. Sharma,Christian Torp-Pedersen,Peter Bacher,Gillian Shepherd,Rui Sun,Philip James +10 more
TL;DR: Overall mortality rate was low and sibutramine was well tolerated in this mainly off-label population and no new safety issues were detected.
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Effectiveness and safety of hydrogen inhalation as an adjunct treatment in Chinese type 2 diabetes patients: A retrospective, observational, double-arm, real-life clinical study
TL;DR: Wang et al. as discussed by the authors analyzed the effectiveness and safety of hydrogen inhalation therapy as an adjunct treatment in Chinese type 2 diabetes mellitus (T2DM) patients in a real-life clinical setting.
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FedMSA: A Model Selection and Adaptation System for Federated Learning
TL;DR: A model selection and adaptation system for Federated Learning (FedMSA), which includes a hardware-aware model selection algorithm that trades-off model training efficiency and model performance base on FL developers’ expectation is proposed.
Context-Based Knowledge Discovery and Querying for Social Media Data
Jedsada Phengsuwan,Nipun Balan Thekkummal,Teja Shah,Philip James,Dhavalkumar Thakker,Rui Sun,Divya Pullarkatt,T. Hemalatha,Maneesha Vinodini Ramesh,Rajiv Ranjan +9 more
- 01 Jul 2019
TL;DR: A data integration and analytics system which allows social media users to contribute to hazard monitoring and supports decision making for its prediction and prototype the system using landslides as an example hazard is prototype.
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