Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Matthew Livesey"'
Autor:
Suruchi Pacharne, Matthew Livesey, Mahita Kadmiel, Ning Wang, Kathleen M. Caron, Gareth O. Richards, Tim M. Skerry
Publikováno v:
Frontiers in Endocrinology, Vol 12 (2022)
Knockout technologies provide insights into physiological roles of genes. Studies initiated into endocrinology of heteromeric G protein-coupled receptors included deletion of receptor activity modifying protein-3, an accessory protein that alters lig
Externí odkaz:
https://doaj.org/article/ba96097251e84f4a8aaf83a98fec095c
Autor:
Jing Qiu, Jamie McQueen, Bilada Bilican, Owen Dando, Dario Magnani, Karolina Punovuori, Bhuvaneish T Selvaraj, Matthew Livesey, Ghazal Haghi, Samuel Heron, Karen Burr, Rickie Patani, Rinku Rajan, Olivia Sheppard, Peter C Kind, T Ian Simpson, Victor LJ Tybulewicz, David JA Wyllie, Elizabeth MC Fisher, Sally Lowell, Siddharthan Chandran, Giles E Hardingham
Publikováno v:
eLife, Vol 5 (2016)
Evolutionary differences in gene regulation between humans and lower mammalian experimental systems are incompletely understood, a potential translational obstacle that is challenging to surmount in neurons, where primary tissue availability is poor.
Externí odkaz:
https://doaj.org/article/c6d2491c1b8445d08c27122e7a5f0b19
This book is your essential guide to secondary science teacher training and the early career years giving smart, practical advice on developing your classroom skills and deepening your knowledge of science education. Covering all major aspects of sci
Autor:
Ben Cooper, Christopher Press, Christopher Allewell, Neil Chapman, Matthew Livesey, Neil Sambridge, Jennifer Larsen, Hannah Blagnys, Catherine Watt
Many UK medical curricula lack dedicated prehospital education other than first aid courses and basic life support training. In contrast, nonmedical mountain rescue team members receive advanced prehospital training addressing scene management and va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bed11f957a0ba967718ea85c57c87fa
Publikováno v:
IEEE Antennas and Propagation Magazine. 54:186-195
The use of general-purpose computing on a GPU is an effective way to accelerate the FDTD method. This paper introduces flexibility to the theoretically best available approach. It examines the performance on both Tesla- and Fermi-architecture GPUs, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d19dff817bdd22845b132c2ced0b36cb
https://doi.org/10.1109/map.2012.6348145
https://doi.org/10.1109/map.2012.6348145
Publikováno v:
IEEE Antennas and Propagation Magazine. 54:160-168
The utilization of vector-arithmetic logic units is a promising way to speed up FDTD computations from the viewpoint of hardware acceleration. This paper studies how a streaming SIMD extensions (SSE) implementation can be effi ciently developed, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1eae0edc0c01092f85a8827cfad49ff
https://doi.org/10.1109/map.2012.6293973
https://doi.org/10.1109/map.2012.6293973
Autor:
Julie Watts, Matthew Livesey
Publikováno v:
Writing Majors: Eighteen Program Profiles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e794325ed87cbfc482bf544cd507444e
https://doi.org/10.7330/9780874219722.c007
https://doi.org/10.7330/9780874219722.c007
Autor:
Seiji Fujino, Norimasa Nakashima, Takeshi Nanri, Fumie Costen, Matthew Livesey, James F. Stack
Publikováno v:
2012 42nd European Microwave Conference.
The use of General Purpose computing on a GPU is an effective way to accelerate the FDTD method. This paper introduces flexibility to the theoretically best available approach and examines the performance on both Tesla and Fermi architecture GPUs and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0220a9a71c58622deb4dcc480f0e7e6a
https://doi.org/10.23919/eumc.2012.6459089
https://doi.org/10.23919/eumc.2012.6459089
Publikováno v:
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation.
Exploiting the parallel execution capability of Vector Arithmetic Logic Units is a promising way to speed up the FDTD computation. We have studied how the Streaming SIMD Extensions (SSE) present in x86 architecture processors can be used to implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50a76009ff35d7577ca46dd2141049b6
https://doi.org/10.1109/aps.2012.6348986
https://doi.org/10.1109/aps.2012.6348986