Zobrazeno 1 - 10
of 19 157
pro vyhledávání: '"A. O'Regan"'
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background E-learning is recognised as a useful educational tool and is becoming more common in undergraduate medical education. This review aims to examine the scope and impact of e-learning interventions on medical student learning in clin
Externí odkaz:
https://doaj.org/article/8d4e00fb87ea478385d3fc723bbd5103
Autor:
Michelle Brennan, M. J. McDonnell, M. J. Harrison, N. Duignan, A. O’Regan, D. M. Murphy, C. Ward, R. M. Rutherford
Publikováno v:
Respiratory Research, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Unfortunately, many COPD patients continue to exacerbate despite good adherence to GOLD Class D recommended therapy. Acute exacerbations lead to an increase in symptoms, decline in lung function and increased mortality rate. The p
Externí odkaz:
https://doaj.org/article/a641c1bdb0b844d79ed48dd7f99133b5
This paper investigates the initial boundary value problem of finitely degenerate semilinear pseudo-parabolic equations associated with H\"{o}rmander's operator. For the low and critical initial energies, based on the global existence of solutions in
Externí odkaz:
http://arxiv.org/abs/2411.12253
In this paper, we present a novel dataset captured using a VR headset to record conversations between participants within a physics simulator (AI2-THOR). Our primary objective is to extend the field of co-speech gesture generation by incorporating ri
Externí odkaz:
http://arxiv.org/abs/2410.00253
Publikováno v:
EJVES Vascular Forum, Vol 58, Iss , Pp 58-59 (2023)
Externí odkaz:
https://doaj.org/article/6c6bd0f588004716a88e97122af570b6
Autor:
Orhan, Okan K., Bello, Frank Daniel, Abadía, Nicolás, Hess, Ortwin, Donegan, John F., O'Regan, David D.
Plasmonic near-field transducers (NFTs) play a key role in administering nanoscale heating for a number of applications ranging from medical devices to next generation data processing technology. We present a novel multi-scale approach, combining qua
Externí odkaz:
http://arxiv.org/abs/2408.14451
Autor:
Burgess, Andrew C., O'Regan, David D.
Publikováno v:
Phys. Rev. B. (2024)
Burgess et al. have recently introduced the BLOR corrective exchange-correlation functional that is, by construction, the unique simplified rotationally-invariant DFT+U functional that enforces the flat-plane condition separately on each effective or
Externí odkaz:
http://arxiv.org/abs/2408.08391
Publikováno v:
J. Chem. Theory Comput. 2024, 20, 20, 8984-9002
We present the implementation of the Hubbard ($U$) and Hund ($J$) corrected Density Functional Theory (DFT+$U$+$J$) functionality in the Quickstep program, which is part of the CP2K suite. The tensorial and L\"owdin subspace representations are imple
Externí odkaz:
http://arxiv.org/abs/2407.13256
Non-Gaussianity-based Independent Vector Extraction leads to the famous one-unit FastICA/FastIVA algorithm when the likelihood function is optimized using an approximate Newton-Raphson algorithm under the orthogonality constraint. In this paper, we r
Externí odkaz:
http://arxiv.org/abs/2407.09259
Images and structured tables are essential parts of real-world databases. Though tabular-image representation learning is promising to create new insights, it remains a challenging task, as tabular data is typically heterogeneous and incomplete, pres
Externí odkaz:
http://arxiv.org/abs/2407.07582