Chao Wu Jiang

2 months ago | nature.com | Xiaoxu Wang |Chao Wu Jiang |Wei Huang

AbstractGravimeter measures gravitational acceleration, which is valuable for geophysical applications such as hazard forecasting and prospecting. Gravimeters have historically been large and expensive instruments. Micro-Electro-Mechanical-System gravimeters feature small size and low cost through scaling and integration, which may allow large-scale deployment.

Dec 25, 2024 | journalofinfection.com | Huili Zhou |Xindie Ren |Yujing Li |Caihong Ji |Xin Wei |Xiaohan Huang | +10 more

Letter to the EditorArticles in Press106385Open access 1Department of Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China 2Department of Emergency Intensive Care Unit, The Fifth Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, China 3Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China 4MOE Key Laboratory of Biosystems Hon& Protection, and Zhejiang...

Aug 24, 2024 | pericles.pericles-prod.literatumonline.com | Bang Hou |Kaixuan Wang |Chao Wu Jiang |Yu Guo

Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.

Nov 21, 2023 | pubs.acs.org | Xing Han |Chao Wu Jiang |Bang Hou |Yan Liu

Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Am. Chem. Soc. 2024, XXXX, XXX CCDC 2302916–2302918 and 2309112 contain the supplementary crystallographic data for this paper. These data can be obtained free of charge via www.ccdc.cam.ac.uk/data_request/cif, or by emailing [email protected], or by contacting The Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, UK; fax: +44 1223 336033.

Apr 17, 2023 | birpublications.org | Ning Li |Zhe Wu |Chao Wu Jiang |Lulu Sun

Full PaperAbstractObjective:To evaluate the performance and robustness of a deep learning-based automatic fresh rib fracture detection and positioning system (FRF-DPS). Methods:CT scans of 18,172 participants admitted to eight hospitals from June 2009 to March 2019 were retrospectively collected. Patients were divided into development set (14,241), multicenter internal test set (1612), and external test set (2319).