Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Alastair Murray"'
Autor:
Luke Farrow, Paul J. Jenkins, Edward Dunstan, Alastair Murray, Mark J. G. Blyth, A. Hamish R. W. Simpson, Nick D. Clement
Publikováno v:
Bone & Joint Research, Vol 11, Iss 12, Pp 890-892 (2022)
Cite this article: Bone Joint Res 2022;11(12):890–892.
Externí odkaz:
https://doaj.org/article/b67cb9448e1745938ef6d556fdbf2b70
Publikováno v:
In McRae’s Elective Orthopaedics Edition: Seventh Edition. 2023:253-286
Autor:
Aryelly Rodriguez, Christopher Tuck, Marshall F Dozier, Stephanie C Lewis, Sandra Eldridge, Tracy Jackson, Alastair Murray, Christopher J Weir
Publikováno v:
Rodriguez, A, Tuck, C, Dozier, M, Lewis, S C, Eldridge, S, Jackson, T, Murray, A & Weir, C J 2022, ' Current recommendations/practices for anonymising data from clinical trials in order to make it available for sharing : A scoping review ', Clinical Trials, vol. 19, no. 4, CT-21-0180, pp. 452-463 . https://doi.org/10.1177/17407745221087469
Background/Aims There are increasing pressures for anonymised datasets from clinical trials to be shared across the scientific community, and differing recommendations exist on how to perform anonymisation prior to sharing. We aimed to systematically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7a62267cb4a6bd3618f4800fbde9d56
https://hdl.handle.net/20.500.11820/1c4bd7c0-deb0-4929-91d1-5b0c6b3d8c50
https://hdl.handle.net/20.500.11820/1c4bd7c0-deb0-4929-91d1-5b0c6b3d8c50
Autor:
Ewan Crawford, Alastair Murray
Publikováno v:
IWOCL
The modern heterogeneous programming landscape has a wide variety of programming models targeting a range of hardware that is equally diverse. ComputeAorta from Codeplay Software Ltd is designed to be able to provide implementations of heterogeneous
Autor:
William J. Steinbach, Betsy C. Herold, Lara Danziger-Isakov, Brian T. Fisher, Alastair Murray, Michael Green, Janet A. Englund, Flor M. Munoz, Rebecca Pellett Madan, Natasha B. Halasa, Grant Paulsen, Daniel E. Dulek, Marian G. Michaels, Leigh R. Sweet
Publikováno v:
Journal of the Pediatric Infectious Diseases Society
Background Respiratory virus infection (RVI) in pediatric solid organ transplant (SOT) recipients poses a significant risk; however, the epidemiology and effects of an RVI after pediatric SOT in the era of current molecular diagnostic assays are uncl
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 29:269-282
Heterogeneous-ISA computing platforms have become ubiquitous, and will be used for diverse workloads which render static mappings of computation to processors inadequate. Dynamic mappings which adjust an application's usage in consideration of platfo
Publikováno v:
Pathology. 52:S89-S90
Autor:
Steven C. LeClerq, Jane Kuypers, Joanne Katz, Helen Y. Chu, James M. Tielsch, Alastair Murray, Subarna K. Khatry, Janet A. Englund
Publikováno v:
The Journal of Infectious Diseases
In this post-hoc analysis of midnasal pneumococcal carriage in a community-based, randomized prenatal influenza vaccination trial in Nepal with weekly infant respiratory illness surveillance, 457 of 605 (75.5%) infants with influenza, respiratory syn
Publikováno v:
Cummins, C, Petoumenos, P, Murray, A & Leather, H 2018, Compiler Fuzzing through Deep Learning . in Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis . Amsterdam, Netherlands, pp. 95-105, 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, Amsterdam, Netherlands, 15/07/18 . https://doi.org/10.1145/3213846.3213848
ISSTA
Cummins, C, Petoumenos, P, Murray, A & Leather, H 2018, Compiler fuzzing through deep learning . in E Bodden & F Tip (eds), ISSTA 2018-Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis . ISSTA 2018-Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, Association for Computing Machinery, pp. 95-105, 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, Amsterdam, Netherlands, 16/07/18 . https://doi.org/10.1145/3213846.3213848
ISSTA
Cummins, C, Petoumenos, P, Murray, A & Leather, H 2018, Compiler fuzzing through deep learning . in E Bodden & F Tip (eds), ISSTA 2018-Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis . ISSTA 2018-Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, Association for Computing Machinery, pp. 95-105, 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, Amsterdam, Netherlands, 16/07/18 . https://doi.org/10.1145/3213846.3213848
Random program generation-fuzzing-is an effective technique for discovering bugs in compilers but successful fuzzers require extensive development effort for every language supported by the compiler, and often leave parts of the language space untest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dda3762293910cb7357ce6d865698f02
https://hdl.handle.net/20.500.11820/68bc694f-ed71-4848-a7cf-42ebc040acdb
https://hdl.handle.net/20.500.11820/68bc694f-ed71-4848-a7cf-42ebc040acdb
Autor:
Maryam Nejat, Alastair Murray
Publikováno v:
Pathology. 51:S93-S94