D
David R. Smith
Researcher at Duke University
Publications - 891
Citations - 102589
David R. Smith is an academic researcher from Duke University. The author has contributed to research in topics: Metamaterial & Antenna (radio). The author has an hindex of 110, co-authored 881 publications receiving 91683 citations. Previous affiliations of David R. Smith include Brunel University London & Princeton University.
Papers
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Journal ArticleDOI
Differential diagnosis of a patient with low back and toe pain.
TL;DR: The purpose of this case report is to describe the successful physical therapist screening and subsequent medical differential diagnosis of a 36- year-old male with chronic lower back and toe pain.
Journal ArticleDOI
Implementation of simulation modelling to improve service planning in specialist orthopaedic and neurosurgical outpatient services
Nicole Moretto,Nicole Moretto,Tracy Comans,Tracy Comans,Angela T. Chang,Shaun O'Leary,Shaun O'Leary,Sonya Osborne,Sonya Osborne,Hannah E. Carter,David R. Smith,Tania Cavanagh,Dean Blond,Maree Raymer +13 more
TL;DR: This is the first time the context of implementing simulation modelling recommendations in a health care setting, using a validated framework, has been examined and may provide valuable insights to increase the uptake of healthcare modellingRecommendations in service planning.
Proceedings ArticleDOI
Imaging and spectroscopy using a scintillator-coupled EMCCD
TL;DR: The CCD97 is a low light level (L3) device from the e2v technologies range of electron multiplying CCDs (EMCCDs) as mentioned in this paper, which uses the patented extended gain register and through the use of appropriately designed electrodes can be used to maximise the signal whilst keeping the impact of the noise to a minimum.
Patent
Systems, methods and devices for satellite navigation
Tom Driscoll,Joseph R. Guerci,Russell J. Hannigan,Roderick A. Hyde,Muriel Y. Ishikawa,Jordin T. Kare,Nathan P. Myhrvold,David R. Smith,Clarence T. Tegreene,Yaroslav A. Urzhumov,Charles Whitmer,Lowell L. Wood,Victoria Y.H. Wood +12 more
TL;DR: In this article, a three-dimensional map of an environment with buildings is used to computationally predict locations and times of global navigation satellite system (GNSS) blockages, which can be used by a mobile GNSS receiver to determine which satellites to use or whether to use a backup system for navigation.