Zobrazeno 1 - 10
of 2 642
pro vyhledávání: '"REVELL, P. A."'
This article describes some common issues encountered in the use of Direct Numerical Simulation (DNS) turbulent flow data for machine learning. We focus on two specific issues; 1) the requirements for a fair validation set, and 2) the pitfalls in dow
Externí odkaz:
http://arxiv.org/abs/2412.06050
Autor:
Luo, Xiaoyuan, Nandurdikar, Vijay, Sangri-Yi, Revell, Alistair, Fourtakas, Georgios, Harish, Ajay B.
In this paper we propose a numerical procedure for the quantification of uncertainties in wave-structure interaction. We utilise the smoothed particle hydrodynamics (SPH) scheme for modelling the wave mechanics, coupled one-way with a finite element
Externí odkaz:
http://arxiv.org/abs/2408.10784
We investigate the viscoelastic relaxation to equilibrium of a disordered planar epithelium described using the cell vertex model. In its standard form, the model is formulated as coupled evolution equations for the locations of vertices of confluent
Externí odkaz:
http://arxiv.org/abs/2404.00117
We investigate the statistical recovery of missing physics and turbulent phenomena in fluid flows using generative machine learning. Here we develop a two-stage super-resolution method using spectral filtering to restore the high-wavenumber component
Externí odkaz:
http://arxiv.org/abs/2312.15029
Autor:
Adesola T. Bello, Magali H. Sarafian, Elizabeth A. Wimborne, Benita Middleton, Victoria L. Revell, Florence I. Raynaud, Namrata R. Chowdhury, Daan R. van der Veen, Debra J. Skene, Jonathan R. Swann
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Bile acids are trans-genomic molecules arising from the concerted metabolism of the human host and the intestinal microbiota and are important for digestion, energy homeostasis and metabolic regulation. While diurnal variation has been demon
Externí odkaz:
https://doaj.org/article/ce39fe2e71344cf991bc20baa6eb30fb
Autor:
T. Revell, W. Yeadon, G. Cahilly-Bretzin, I. Clarke, G. Manning, J. Jones, C. Mulley, R. J. Pascual, N. Bradley, D. Thomas, F. Leneghan
Publikováno v:
International Journal for Educational Integrity, Vol 20, Iss 1, Pp 1-19 (2024)
Abstract Generative AI has prompted educators to reevaluate traditional teaching and assessment methods. This study examines AI’s ability to write essays analysing Old English poetry; human markers assessed and attempted to distinguish them from au
Externí odkaz:
https://doaj.org/article/7bccc5c5e7d3475a908256e7a83843e5
Autor:
Ciro della Monica, Victoria Revell, Giuseppe Atzori, Rhiannon Laban, Simon S. Skene, Amanda Heslegrave, Hana Hassanin, Ramin Nilforooshan, Henrik Zetterberg, Derk-Jan Dijk
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Plasma biomarkers of dementia, including phosphorylated tau (p-tau217), offer promise as tools for diagnosis, stratification for clinical trials, monitoring disease progression, and assessing the success of interventions in those living with
Externí odkaz:
https://doaj.org/article/b7a19a55d5b447cca927ff0807044a82
Autor:
REVELL UEMS
Publikováno v:
Revista de Estudos Literários da UEMS - REVELL, Vol 2, Iss 38 (2024)
Capa e dados da edição - V.2 - Nº 38
Externí odkaz:
https://doaj.org/article/f0bfae7369464ec6bda826dc331ceae8
Publikováno v:
Earth and Space Science, Vol 11, Iss 10, Pp n/a-n/a (2024)
Abstract The rate of rocket launches is accelerating, driven by the rapid global development of the space industry. Rocket launches emit gases and particulates into the stratosphere, where they impact the ozone layer via radiative and chemical proces
Externí odkaz:
https://doaj.org/article/0ab52facb92f488da067ab8c10224ce9
Autor:
REVELL UEMS
Publikováno v:
Revista de Estudos Literários da UEMS - REVELL, Vol 1, Iss 37 (2024)
V.1. N.37 - Temática Livre
Externí odkaz:
https://doaj.org/article/e6bb52e6ef384ac19c6d77e8645c5f26