Zobrazeno 1 - 10
of 483
pro vyhledávání: '"J. L. Cheng"'
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 16, Iss 12, Pp 2438-2458 (2023)
The serpentine nozzle effectively suppresses infrared radiation and radar signals from advanced aero-engine exhaust system. However, the extreme operating environment of thermal–solid interaction complicates the heat transfer of the flow inside the
Externí odkaz:
https://doaj.org/article/5ae481ac2f87473e952465288287e087
Publikováno v:
APL Photonics, Vol 4, Iss 3, Pp 034201-034201-17 (2019)
The existence of large nonlinear optical coefficients is one of the preconditions for using nonlinear optical materials in nonlinear optical devices. For a crystal, such large coefficients can be achieved by matching photon energies with resonant e
Externí odkaz:
https://doaj.org/article/b5e740d22f3146468f6fbc08b6415385
Publikováno v:
Asian-Australasian Journal of Animal Sciences, Vol 28, Iss 7, Pp 1006-1013 (2015)
Heat-stress remains a costly issue for animal production, especially for poultry as they lack sweat glands, and alleviating heat-stress is necessary for ensuring animal production in hot environment. A high γ-aminobutyric acid (GABA)-producer Lactob
Externí odkaz:
https://doaj.org/article/155765551631449ab602da5e9aeca627
Publikováno v:
APL Photonics, Vol 1, Iss 4, Pp 046101-046101-10 (2016)
Graphene plasmonics provides a unique and excellent platform for nonlinear all-optical switching, owing to its high nonlinear conductivity and tight optical confinement. In this paper, we show that impressive switching performance on graphene plasmon
Externí odkaz:
https://doaj.org/article/8f79ee85318b4ee2aa4db1ae9cf4bf0c
Autor:
Desmond Shi Wei Lim, Andrew Makmur, Lei Zhu, Wenqiao Zhang, Amanda J. L. Cheng, David Soon Yiew Sia, Sterling Ellis Eide, Han Yang Ong, Pooja Jagmohan, Wei Chuan Tan, Vanessa Meihui Khoo, Ying Mei Wong, Yee Liang Thian, Sangeetha Baskar, Ee Chin Teo, Diyaa Abdul Rauf Algazwi, Qai Ven Yap, Yiong Huak Chan, Jiong Hao Tan, Naresh Kumar, Beng Chin Ooi, Hiroshi Yoshioka, Swee Tian Quek, James Thomas Patrick Decourcy Hallinan
Publikováno v:
Radiology. 305:160-166
Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involves grading lumbar spinal stenosis, which is repetitive and time consuming. Deep learning (DL) could provide faster and more consistent interpretation.
Autor:
James Thomas Patrick Decourcy Hallinan, Lei Zhu, Wenqiao Zhang, Shuliang Ge, Faimee Erwan Muhamat Nor, Han Yang Ong, Sterling Ellis Eide, Amanda J. L. Cheng, Tricia Kuah, Desmond Shi Wei Lim, Xi Zhen Low, Kuan Yuen Yeong, Mona I. AlMuhaish, Ahmed Mohamed Alsooreti, Nesaretnam Barr Kumarakulasinghe, Ee Chin Teo, Qai Ven Yap, Yiong Huak Chan, Shuxun Lin, Jiong Hao Tan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur
Publikováno v:
Frontiers in Oncology. 13
IntroductionMetastatic spinal cord compression (MSCC) is a disastrous complication of advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could expedite timely diagnosis. In this study, we externally test a DL algorithm
Autor:
James Thomas Patrick Decourcy Hallinan, Lei Zhu, Hui Wen Natalie Tan, Si Jian Hui, Xinyi Lim, Bryan Wei Loong Ong, Han Yang Ong, Sterling Ellis Eide, Amanda J. L. Cheng, Shuliang Ge, Tricia Kuah, Shi Wei Desmond Lim, Xi Zhen Low, Ee Chin Teo, Qai Ven Yap, Yiong Huak Chan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur, Jiong Hao Tan
Publikováno v:
European Spine Journal.
Akademický článek
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Akademický článek
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Publikováno v:
Physical Review B. 106
We theoretically study the optical activity in a doped system and derive the optical activity tensor from a light wavevector-dependent linear optical conductivity. Although the light-matter interaction is introduced through the velocity gauge from a