Zobrazeno 1 - 10
of 34 462
pro vyhledávání: '"Healey A"'
Towards high spatial resolution magnetic imaging with a compact practical quantum diamond microscope
Autor:
Rietwyk, Kevin J., Shaji, Alex, Robertson, Islay O., Healey, Alexander J., Singh, Priya, Scholten, Sam C., Reineck, Philipp, Broadway, David, Tetienne, Jean-Philippe
Widefield quantum diamond microscopy is a powerful technique for imaging magnetic fields with high sensitivity and spatial resolution. However, current methods to approach the ultimate spatial resolution ($<500\,$nm) are impractical for routine use a
Externí odkaz:
http://arxiv.org/abs/2407.15319
Autor:
Robertson, Islay O., Whitefield, Benjamin, Scholten, Sam C., Singh, Priya, Healey, Alexander J., Reineck, Philipp, Kianinia, Mehran, Broadway, David A., Aharonovich, Igor, Tetienne, Jean-Philippe
Optically detected magnetic resonance (ODMR) has been observed from emitters in hexagonal boron nitride across a broad range of wavelengths, but so far an understanding of their microscopic structure and the physical origin of ODMR has been lacking.
Externí odkaz:
http://arxiv.org/abs/2407.13148
The main motivation of the present work is to investigate the asymptotic behavior as $\kappa \to 0+$ of multiradial Schramm-Loewner evolution, SLE$_\kappa$. We show that this process with the common parameterization satisfies a finite-time large devi
Externí odkaz:
http://arxiv.org/abs/2407.13762
Pre-trained large language models (LLMs) can now be easily adapted for specific business purposes using custom prompts or fine tuning. These customizations are often iteratively re-engineered to improve some aspect of performance, but after each chan
Externí odkaz:
http://arxiv.org/abs/2407.08842
Autor:
Zhong, Zhusi, Li, Jie, Sollee, John, Collins, Scott, Bai, Harrison, Zhang, Paul, Healey, Terrence, Atalay, Michael, Gao, Xinbo, Jiao, Zhicheng
In response to the worldwide COVID-19 pandemic, advanced automated technologies have emerged as valuable tools to aid healthcare professionals in managing an increased workload by improving radiology report generation and prognostic analysis. This st
Externí odkaz:
http://arxiv.org/abs/2405.14113
Autor:
Zhong, Zhusi, Li, Jie, Ma, Zhuoqi, Collins, Scott, Bai, Harrison, Zhang, Paul, Healey, Terrance, Gao, Xinbo, Atalay, Michael K., Jiao, Zhicheng
The COVID-19 pandemic has strained global public health, necessitating accurate diagnosis and intervention to control disease spread and reduce mortality rates. This paper introduces an interpretable deep survival prediction model designed specifical
Externí odkaz:
http://arxiv.org/abs/2405.02815
Publikováno v:
Journal of Healthcare Leadership, Vol Volume 12, Pp 27-34 (2020)
Aimee Sarti,1 Stephanie Sutherland,1 Angele Landriault,2 Sonny Dhanani,3 Andrew Healey,4 Pierre Cardinal1 1Department of Critical Care, Ottawa Hospital, Ottawa, ON, Canada; 2Practice and Performance Unit, Royal College of Physicians and Surgeons of C
Externí odkaz:
https://doaj.org/article/9bee23de9a4a4e4c8f7e23f751aa5c7f
Recent advancements in instruction-following models have made user interactions with models more user-friendly and efficient, broadening their applicability. In graphic design, non-professional users often struggle to create visually appealing layout
Externí odkaz:
http://arxiv.org/abs/2404.15271
Autor:
Healey, Alexander J, Singh, Priya, Robertson, Islay O, Gavin, Christopher, Scholten, Sam C, Broadway, David A, Reineck, Philipp, Abe, Hiroshi, Ohshima, Takeshi, Kianinia, Mehran, Aharonovich, Igor, Tetienne, Jean-Philippe
Publikováno v:
Materials for Quantum Technology (2024) 4, 035701
Boron vacancy centre ($V_{\rm B}^-$) ensembles in hexagonal boron nitride (hBN) have attracted recent interest for their potential as two-dimensional solid-state quantum sensors. Irradiation is necessary for $V_{\rm B}^-$ creation, however, to date o
Externí odkaz:
http://arxiv.org/abs/2404.14717
Autor:
Liu, Shengjie, Wu, Jing, Bao, Jingyuan, Wang, Wenyi, Hovakimyan, Naira, Healey, Christopher G
This paper describes an investigation of the robustness of large language models (LLMs) for retrieval augmented generation (RAG)-based summarization tasks. While LLMs provide summarization capabilities, their performance in complex, real-world scenar
Externí odkaz:
http://arxiv.org/abs/2403.19889