General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome [PDF]
arXivThe novel data analytical platform General Effect Modelling (GEM), is an umbrella platform covering different data analytical methods that handle data with multiple design variables (or pseudo design variables) and multivariate responses. GEM is here demonstrated in an analysis of proteome data from cerebrospinal fluid (CSF) from two independent ...
arxiv
Conservative management of cerebrospinal fluid shunt infections [PDF]
, 2007 Amy Cheney +4 more
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Abdominal cerebrospinal fluid pseudocyst: a complication of ventriculoperitoneal shunts in adults [PDF]
, 2008 Fernando Aparici, R Molina‐Fabrega
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Test characteristics of neuroimaging in the emergency department evaluation of children for cerebrospinal fluid shunt malfunction [PDF]
, 2008 Ahmed Mater +4 more
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Infection rates following initial cerebrospinal fluid shunt placement across pediatric hospitals in the United States [PDF]
, 2009 Tamara D. Simon +8 more
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CEREBROSPINAL FLUID SHUNT INFECTION CAUSED BY YERSINIA ENTEROCOLITICA
, 1997 Kristina Bryant +2 more
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Molecular Characterization of Microbiota in Cerebrospinal Fluid From Patients With CSF Shunt Infections Using Whole Genome Amplification Followed by Shotgun Sequencing [PDF]
, 2021 Paul Hodor +8 more
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A posteriori error analysis for a coupled Stokes-poroelastic system with multiple compartments [PDF]
arXivThe discretization of fluid-poromechanics systems is typically highly demanding in terms of computational effort. This is particularly true for models of multiphysics flows in the brain, due to the geometrical complexity of the cerebral anatomy - requiring a very fine computational mesh for finite element discretization - and to the high number of ...
arxiv