Zobrazeno 1 - 10
of 441
pro vyhledávání: '"Noordhuis, P"'
Many present-day axion searches attempt to probe the mixing of axions and photons, which occurs in the presence of an external magnetic field. While this process is well-understood in a number of simple and idealized contexts, a strongly varying or h
Externí odkaz:
http://arxiv.org/abs/2405.08865
Recent work has shown that axions can be efficiently produced via non-stationary pair plasma discharges in the polar cap region of pulsars. Here, we point out that for axion masses $10^{-9} \, {\rm eV} \lesssim m_a \lesssim 10^{-4} \, \rm eV$, a siza
Externí odkaz:
http://arxiv.org/abs/2307.11811
Autor:
Noordhuis, Dion, Prabhu, Anirudh, Witte, Samuel J., Chen, Alexander Y., Cruz, Fábio, Weniger, Christoph
Axions can be copiously produced in localized regions of neutron star magnetospheres where the ambient plasma is unable to efficiently screen the induced electric field. As these axions stream away from the neutron star they can resonantly transition
Externí odkaz:
http://arxiv.org/abs/2209.09917
Publikováno v:
Traffic Safety Research, Vol 6 (2024)
The diagnosis of attention deficit hyperactivity disorder (ADHD) has been identified as a factor associated with an increased risk of involvement in car crashes. As a result, individuals in the Netherlands who are diagnosed with ADHD are mandated to
Externí odkaz:
https://doaj.org/article/b1ef3a731010408e9c05a66ba5070b9e
The most promising indirect search for the existence of axion dark matter uses radio telescopes to look for narrow spectral lines generated from the resonant conversion of axions in the magnetospheres of neutron stars. Unfortunately, a large list of
Externí odkaz:
http://arxiv.org/abs/2104.07670
Autor:
Li, Shen, Zhao, Yanli, Varma, Rohan, Salpekar, Omkar, Noordhuis, Pieter, Li, Teng, Paszke, Adam, Smith, Jeff, Vaughan, Brian, Damania, Pritam, Chintala, Soumith
This paper presents the design, implementation, and evaluation of the PyTorch distributed data parallel module. PyTorch is a widely-adopted scientific computing package used in deep learning research and applications. Recent advances in deep learning
Externí odkaz:
http://arxiv.org/abs/2006.15704
Autor:
Yoshikuni Inokawa, Masamichi Hayashi, Shahnaz Begum, Maartje G. Noordhuis, Daivd Sidransky, Joseph Califano, Wayne Koch, Mariana Brait, William H. Westra, Mohammad O. Hoque
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background HPV-positive oropharyngeal squamous cell carcinomas (OPSCCs) are sensitive to chemo-radiation therapy and have favorable survival outcomes compared with HPV-negative cancers. These tumors are usually not related to tobacco and alc
Externí odkaz:
https://doaj.org/article/51d677fd606a4d56ae1d84b4059ade0d
Autor:
Goyal, Priya, Dollár, Piotr, Girshick, Ross, Noordhuis, Pieter, Wesolowski, Lukasz, Kyrola, Aapo, Tulloch, Andrew, Jia, Yangqing, He, Kaiming
Deep learning thrives with large neural networks and large datasets. However, larger networks and larger datasets result in longer training times that impede research and development progress. Distributed synchronous SGD offers a potential solution t
Externí odkaz:
http://arxiv.org/abs/1706.02677
Autor:
Ali Vahidnia, Dennis Souverein, Sjoerd M. Euser, Milly Haverkort, Elise Noordhuis, Thomas Z. I. van Zijl, Jayant Kalpoe, Jan C. Sinnige, Bjorn L. Herpers
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 347 (2023)
Background: Oropharyngeal (OP) and nasopharyngeal (NP) sampling has historically been considered the reference specimen type used for respiratory virus detection. Saliva could be a less invasive alternative for SARS-CoV-2 detection, but limited evide
Externí odkaz:
https://doaj.org/article/bdf9e7155b42403d9d58c2e02599db39
Autor:
NOORDHUIS, NADJE
Publikováno v:
ITG Journal; Jun2024, Vol. 48 Issue 4, p44-48, 5p