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Results: 127
The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes
Kit Yates, Adam George, Armand Jordana, Cameron Smith, Andrew Duncan, Konstantinos Zygalakis
Oct 28, 2020
The simulation of stochastic reaction-diffusion systems using fine-grained representations can become computationally prohibitive when particle numbers become large. If particle numbers are sufficiently high then it may be...
The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes
Kit Yates, Adam George, Armand Jordana, Cameron Smith, Andrew Duncan, Konstantinos Zygalakis
Oct 28, 2020
The simulation of stochastic reaction-diffusion systems using fine-grained representations can become computationally prohibitive when particle numbers become large. If particle numbers are sufficiently high then it may be...
A Light Weight Temper Resistance Client File in an External Memory for Remote User Authentication and Access Control
This research proposes a lightweight tamper resistant client file in an external memory as an alternative to smart card for remote user authentication and access control. The benefit of using this special client file is...
Systems & Software Design Computer Science and Information Technology Systems and Software Engineering
Published by: IGI Global Scientific Publishing
European consensus for the diagnosis of MCI and mild dementia
Cristina Festari, Federico Massa, Matteo Cotta Ramusino, Federica Gandolfo, Valentina Nicolosi, Stefania Orini, Dag Aarsland, Federica Agosta, Claudio Babiloni, Mercè Boada, Barbara Borroni, Stefano Cappa, Bruno Dubois, Kristian S Frederiksen, Lutz Froelich, Valentina Garibotto, Jean Georges, Alexander Haliassos, Oskar Hansson, Frank Jessen, Anita Kamondi, Roy PC Kessels, Silvia Morbelli, John T O'Brien, Markus Otto, Armand Perret-Liaudet, Francesca B Pizzini, Craig W Ritchie, Philip Scheltens, Mathieu Vandenbulcke, Ritva Vanninen, Frans Verhey, Meike W Vernooij, Tarek Yousry, Wiesje M van der Flier, Flavio Nobili, Giovanni B Frisoni
Oct 10, 2022
INTRODUCTION: Etiological diagnosis of neurocognitive disorders of middle-old age relies on biomarkers, although evidence for their rational use is incomplete. A European task force is defining a diagnostic workflow where expert...
A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma
Hélène Ruffieux, Jérôme Carayol, Radu Popescu, Mary-Ellen Harper, Robert Dent, Wim H. M. Saris, Arne Astrup, Jörg Hager, Anthony C. Davison, Armand Valsesia
Jun 15, 2020
Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large...
Post-replicative pairing of sister ter regions in Escherichia coli involves multiple activities of MatP.
Estelle Crozat, Catherine Tardin, Maya Salhi, Philippe Rousseau, Armand Lablaine, Tommaso Bertoni, David Holcman, Bianca Sclavi, Pietro Cicuta, François Cornet
Jul 07, 2020
A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma.
Hélène Ruffieux, Jérôme Carayol, Radu Popescu, Mary-Ellen Harper, Robert Dent, Wim HM Saris, Arne Astrup, Jörg Hager, Anthony C Davison, Armand Valsesia
Jul 06, 2020
Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large...
Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform
Fraser Macfarlane, Paul Murray, Stephen Marshall, Benjamin Perret, Adrian Evans, Henry White
Dec 17, 2021
The extension of Mathematical Morphology to colour and multivariate images is challenging due to the need to define a total ordering in the colour space. No one general way of ordering multivariate data exists and, therefore...
Quantitatively analyzing the failure processes of rechargeable Li metal batteries.
Yuxuan Xiang, Mingming Tao, Guiming Zhong, Ziteng Liang, Guorui Zheng, Xiao Huang, Xiangsi Liu, Yanting Jin, Ningbo Xu, Michel Armand, Ji-Guang Zhang, Kang Xu, Riqiang Fu, Yong Yang
Jan 07, 2022
Practical use of lithium (Li) metal for high–energy density lithium metal batteries has been prevented by the continuous formation of Li dendrites, electrochemically isolated Li metal, and the irreversible formation of solid...
Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform
Fraser Macfarlane, Paul Murray, Stephen Marshall, Benjamin Perret, Adrian Evans, Henry White
Dec 17, 2021
The extension of Mathematical Morphology to colour and multivariate images is challenging due to the need to define a total ordering in the colour space. No one general way of ordering multivariate data exists and, therefore...
Frontotemporal dementia causative CHMP2B impairs neuronal endolysosomal traffic-rescue by TMEM106B knockdown.
Emma L Clayton, Carmelo Milioto, Bhavana Muralidharan, Frances E Norona, James R Edgar, Armand Soriano, Paymaan Jafar-Nejad, Frank Rigo, John Collinge, Adrian M Isaacs
Dec 19, 2018
Mutations in the endosome-associated protein CHMP2B cause frontotemporal dementia and lead to lysosomal storage pathology in neurons. We here report that physiological levels of mutant CHMP2B causes reduced numbers and...
Chronic escitalopram in healthy volunteers has specific effects on reinforcement sensitivity
Christelle Langley, Sophia Armand, Qiang Luo, George Savulich, Tina Segerberg, Anna Søndergaard, Elisabeth B Pedersen, Nanna Svart, Oliver Overgaard-Hansen, Annette Johansen, Camilla Borgsted, Rudolf N Cardinal, Trevor W Robbins, Dea S Stenbæk, Gitte M Knudsen, Barbara J Sahakian
Feb 17, 2023
Machine learning for the prediction of sepsis
Lucas M Fleuren, Thomas LT Klausch, Charlotte L Zwager, Linda J Schoonmade, Tingjie Guo, Luca F Roggeveen, Eleonora L Swart, Armand RJ Girbes, Patrick Thoral, Ari Ercole, Mark Hoogendoorn, Paul WG Elbers
Nov 26, 2019
PURPOSE: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged. We assessed their performance by carrying out a systematic...
Machine learning for the prediction of sepsis
Lucas M. Fleuren, Thomas L. T. Klausch, Charlotte L. Zwager, Linda J. Schoonmade, Tingjie Guo, Luca F. Roggeveen, Eleonora L. Swart, Armand R. J. Girbes, Patrick Thoral, Ari Ercole, Mark Hoogendoorn, Paul W. G. Elbers
Jan 20, 2021
Abstract: Purpose: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged. We assessed their performance by carrying out a...
Recent and local diversification of Central American understorey palms
Ángela Cano, Fred W Stauffer, Tobias Andermann, Isabel M Liberal, Alexander Zizka, Christine D Bacon, Harri Lorenzi, Camille Christe, Mats Töpel, Mathieu Perret, Alexandre Antonelli
May 12, 2022
nIFTY galaxy cluster simulations - III. The similarity and diversity of galaxies and subhaloes
PJ Elahi, A Knebe, FR Pearce, C Power, G Yepes, W Cui, D Cunnama, ST Kay, F Sembolini, AM Beck, R Davé, S February, S Huang, N Katz, IG McCarthy, G Murante, V Perret, E Puchwein, A Saro, R Teyssier
Dec 09, 2016
We examine subhaloes and galaxies residing in a simulated $\Lambda$ cold dark matter galaxy cluster ($M^{crit} _{200}$ = 1.1 × 10$^{15}$ $h^{−1}$ M$_\odot$) produced by hydrodynamical codes ranging from classic smooth particle...
Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration
Patrick J Thoral, Jan M Peppink, Ronald H Driessen, Eric JG Sijbrands, Erwin JO Kompanje, Lewis Kaplan, Heatherlee Bailey, Jozef Kesecioglu, Maurizio Cecconi, Matthew Churpek, Gilles Clermont, Mihaela van der Schaar, Ari Ercole, Armand RJ Girbes, Paul WG Elbers, Amsterdam University Medical Centers Database (AmsterdamUMCdb) Collaborators and the SCCM/ESICM Joint Data Science Task Force
May 31, 2021
OBJECTIVES: Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical...
Machine learning for the prediction of sepsis
Lucas M. Fleuren, Thomas L. T. Klausch, Charlotte L. Zwager, Linda J. Schoonmade, Tingjie Guo, Luca F. Roggeveen, Eleonora L. Swart, Armand R. J. Girbes, Patrick Thoral, Ari Ercole, Mark Hoogendoorn, Paul W. G. Elbers
Jun 06, 2020
Abstract: Purpose: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged. We assessed their performance by carrying out a...
Breaking the waves
John C Marioni, Natalie P Thorne, Armand Valsesia, Tomas Fitzgerald, Richard Redon, Heike Fiegler, T Daniel Andrews, Barbara E Stranger, Andrew G Lynch, Emmanouil T Dermitzakis, Nigel P Carter, Simon Tavaré, Matthew E Hurles
Jun 14, 2011
Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave
Massimiliano Greco, Thomas De Corte, Ari Ercole, Massimo Antonelli, Elie Azoulay, Giuseppe Citerio, Andy Conway Morris, Gennaro De Pascale, Frantisek Duska, Paul Elbers, Sharon Einav, Lui Forni, Laura Galarza, Armand RJ Girbes, Giacomo Grasselli, Vitaly Gusarov, Alasdair Jubb, Jozef Kesecioglu, Andrea Lavinio, Maria Cruz Martin Delgado, Johannes Mellinghoff, Sheila Nainan Myatra, Marlies Ostermann, Mariangela Pellegrini, Pedro Povoa, Stefan J Schaller, Jean-Louis Teboul, Adrian Wong, Jan J De Waele, Maurizio Cecconi, ESICM UNITE-COVID investigators
Jun 17, 2022
PURPOSE: To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously...
Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave
Massimiliano Greco, Thomas De Corte, Ari Ercole, Massimo Antonelli, Elie Azoulay, Giuseppe Citerio, Andy Conway Morris, Gennaro De Pascale, Frantisek Duska, Paul Elbers, Sharon Einav, Lui Forni, Laura Galarza, Armand R. J. Girbes, Giacomo Grasselli, Vitaly Gusarov, Alasdair Jubb, Jozef Kesecioglu, Andrea Lavinio, Maria Cruz Martin Delgado, Johannes Mellinghoff, Sheila Nainan Myatra, Marlies Ostermann, Mariangela Pellegrini, Pedro Povoa, Stefan J. Schaller, Jean-Louis Teboul, Adrian Wong, Jan J. De Waele, Maurizio Cecconi
Jun 30, 2022
Abstract: Purpose: To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not...
Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave
Massimiliano Greco, Thomas De Corte, Ari Ercole, Massimo Antonelli, Elie Azoulay, Giuseppe Citerio, Andy Conway Morris, Gennaro De Pascale, Frantisek Duska, Paul Elbers, Sharon Einav, Lui Forni, Laura Galarza, Armand RJ Girbes, Giacomo Grasselli, Vitaly Gusarov, Alasdair Jubb, Jozef Kesecioglu, Andrea Lavinio, Maria Cruz Martin Delgado, Johannes Mellinghoff, Sheila Nainan Myatra, Marlies Ostermann, Mariangela Pellegrini, Pedro Povoa, Stefan J Schaller, Jean-Louis Teboul, Adrian Wong, Jan J De Waele, Maurizio Cecconi, ESICM UNITE-COVID investigators
Jul 07, 2022
PURPOSE: To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously...
nIFTy galaxy cluster simulations – V. Investigation of the cluster infall region
J Arthur, FR Pearce, ME Gray, PJ Elahi, A Knebe, AM Beck, W Cui, D Cunnama, R Davé, S February, S Huang, N Katz, ST Kay, IG McCarthy, G Murante, V Perret, C Power, E Puchwein, A Saro, F Sembolini, R Teyssier, G Yepes
Feb 20, 2017
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