Zobrazeno 1 - 10
of 423
pro vyhledávání: '"D A Weiß"'
Autor:
D Rubinetti, D A Weiss
Publikováno v:
International Journal of Multiphysics, Vol 12, Iss 4 (2018)
In this study, the focus is to model the physics of acoustic harvesting for 100 nanometer particles in order to lay the groundwork for technical feasibility studies. Based on a simplified 2D test-case channel geometry with an intense acoustic standin
Externí odkaz:
https://doaj.org/article/ca5ae669f0eb4e41b535ca17ad87288e
Autor:
D Rubinetti, D A Weiss
Publikováno v:
International Journal of Multiphysics, Vol 12, Iss 1 (2018)
Fluid motion induced by ultrasound is an effect that arises from the attenuation of sound waves in a fluid. This phenomenon allows for a series of applications in industry. To achieve a significant effect in practice, high-intensity acoustics is requ
Externí odkaz:
https://doaj.org/article/8595595cadec437598f2fd3c1c45c090
Autor:
C. H. Masterson, A. Ceccato, A. Artigas, C. dos Santos, P. R. Rocco, S. Rolandsson Enes, D. J. Weiss, D. McAuley, M. A. Matthay, K. English, G. F. Curley, J. G. Laffey
Publikováno v:
Intensive Care Medicine Experimental, Vol 9, Iss 1, Pp 1-21 (2021)
Abstract Severe viral pneumonia is a significant cause of morbidity and mortality globally, whether due to outbreaks of endemic viruses, periodic viral epidemics, or the rarer but devastating global viral pandemics. While limited anti-viral therapies
Externí odkaz:
https://doaj.org/article/d2be85c0893f48ef9d5db1c9f045d82b
Autor:
E. N. Hulland, K. E. Wiens, S. Shirude, J. D. Morgan, A. Bertozzi-Villa, T. H. Farag, N. Fullman, M. U. G. Kraemer, M. K. Miller-Petrie, V. Gupta, R. C. Reiner, P. Rabinowitz, J. N. Wasserheit, B. P. Bell, S. I. Hay, D. J. Weiss, D. M. Pigott
Publikováno v:
BMC Medicine, Vol 17, Iss 1, Pp 1-16 (2019)
Abstract Background Repeated outbreaks of emerging pathogens underscore the need for preparedness plans to prevent, detect, and respond. As countries develop and improve National Action Plans for Health Security, addressing subnational variation in p
Externí odkaz:
https://doaj.org/article/8df9ba70818847ca8b6e02701a13e47f
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033244 (2021)
We generalize solid-state tight-binding techniques for the spectral analysis of large superconducting circuits. We find that tight-binding states can be better suited for approximating the low-energy excitations than charge basis states, as illustrat
Externí odkaz:
https://doaj.org/article/432229c454a04f9291389573eb15b9e2
Autor:
J K, Weaver, D A, Weiss, A, Aghababian, A L, Smith, J, Van Batavia, C J, Long, G E, Tasian, S A, Zderic
Publikováno v:
Journal of Pediatric Urology. 18:493-498
In this focused narrative review we set out to review the current literature addressing the utilization of UDS in patients with spina bifida (SB). We specifically analyzed 6 urodynamic parameters and their roles as predictors of upper tract deteriora
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.
Autor:
Helin Zhang, Srivatsan Chakram, Tanay Roy, Nathan Earnest, Yao Lu, Ziwen Huang, D. K. Weiss, Jens Koch, David I. Schuster
Publikováno v:
Physical Review X, Vol 11, Iss 1, p 011010 (2021)
The heavy-fluxonium circuit is a promising building block for superconducting quantum processors due to its long relaxation and dephasing time at the flux-frustration point. However, the suppressed charge matrix elements and low transition frequency
Externí odkaz:
https://doaj.org/article/76b2640a0f0c4316b0312514a26cd76a
Publikováno v:
The Journal of Educational Research. 113:374-383
Strong information literacy, collaboration, and argumentation skills are essential to success in problem-based learning (PBL), and computer-based scaffolding plays a key role in helping students en...
Publikováno v:
Proceedings of the 2022 International Conference on Quantitative InfraRed Thermography.
Deep learning holds on the assumption that the data trained on come from the same data distribution. While continual learning is a revolving branch in deep learning which allows to break this assumption, it tries to infer novel tasks by not forgettin