Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Peter L. Green"'
Autor:
Alex Howard, David M. Hughes, Peter L. Green, Anoop Velluva, Alessandro Gerada, Simon Maskell, Iain E. Buchan, William Hope
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Antimicrobial susceptibility testing is a key weapon against antimicrobial resistance. Diagnostic microbiology laboratories use one-size-fits-all testing approaches that are often imprecise, inefficient, and inequitable. Here, we report a pe
Externí odkaz:
https://doaj.org/article/9e65fdf22cb8423cae7fed0f0f0f1662
Autor:
Alessandro Gerada, Gareth Roberts, Alex Howard, Nada Reza, Anoop Velluva, Conor Rosato, Peter L. Green, William Hope
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 11 (2024)
ABSTRACT Blood cultures are central to the management of patients with sepsis and bloodstream infection. Clinical decisions depend on the timely availability of laboratory information, which, in turn, depends on the optimal laboratory processing of s
Externí odkaz:
https://doaj.org/article/d3b84687b9ed429ab5211564e24f56ac
Autor:
Conor Rosato, Peter L. Green, John Harris, Simon Maskell, William Hope, Alessandro Gerada, Alex Howard
Publikováno v:
IEEE Access, Vol 12, Pp 100772-100791 (2024)
Antimicrobial resistance (AMR) emerges when disease-causing microorganisms develop the ability to withstand the effects of antimicrobial therapy. This phenomenon is often fueled by the human-to-human transmission of pathogens and the overuse of antib
Externí odkaz:
https://doaj.org/article/82f66a11f6b74de1a6f6802b1cbb98df
Autor:
Peter L. Green, Noémie Le Carrer
Publikováno v:
Advances in Science and Research
Advances in Science and Research, Vol 17, Pp 39-45 (2020)
Advances in Science and Research, Vol 17, Pp 39-45 (2020)
Ensemble forecasting has gained popularity in the field of numerical medium-range weather prediction as a means of handling the limitations inherent to predicting the behaviour of high dimensional, nonlinear systems, that have high sensitivity to ini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c25d3d6c0a4ccde01549b72a57dc351
https://doi.org/10.5194/asr-17-39-2020
https://doi.org/10.5194/asr-17-39-2020
Publikováno v:
arxiv
STATISTICS AND COMPUTING
STATISTICS AND COMPUTING
Many real-world problems require one to estimate parameters of interest, in a Bayesian framework, from data that are collected sequentially in time. Conventional methods for sampling from posterior distributions, such as Markov chain Monte Carlo cann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6eb835c04076d1124c64f6528fabab
https://doi.org/10.1007/s11222-021-10075-x
https://doi.org/10.1007/s11222-021-10075-x
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1061966fa577101b267815a54acc3df6
https://doi.org/10.2139/ssrn.4150318
https://doi.org/10.2139/ssrn.4150318
While Laser powder bed fusion (L-PBF) machines have greatly improved in recent years, the L-PBF process is still susceptible to several types of defect formation. Among the monitoring methods that have been explored to detect these defects, camera-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d272dd870a94c096281cf7624e71b4b
Publikováno v:
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
European Journal of Operational Research
European Journal of Operational Research
This paper describes a framework that combines decision theory and stochastic optimisation techniques to address tide routing (i.e. optimisation of cargo loading and ship scheduling decisions in tidal ports and shallow seas). Unlike weather routing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099d45e61a5d28b6dd14551c3f316116
http://livrepository.liverpool.ac.uk/3052196/11/1-s2.0-S037722171930654X-main.pdf
http://livrepository.liverpool.ac.uk/3052196/11/1-s2.0-S037722171930654X-main.pdf
Publikováno v:
Mechanical Systems and Signal Processing
By facilitating the generation of samples from arbitrary probability distributions, Markov Chain Monte Carlo (MCMC) is, arguably, \emph{the} tool for the evaluation of Bayesian inference problems that yield non-standard posterior distributions. In re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ce2f4bc9b080ae9d5c0b71472648dc
Publikováno v:
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS
This paper presents a state-of-the-art review of the existing analytical and numerical modelling approaches available for masonry structures that are subjected to blast and seismic events; from basic single-degree-of-freedom models to three-dimension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1a2e8483511ad9f9e56049bd7474e32
https://doi.org/10.1680/jstbu.17.00088
https://doi.org/10.1680/jstbu.17.00088