Poly(2-alkyl-2-oxazoline)-Heparin Hydrogels-Expanding the Physicochemical Parameter Space of Biohybrid Materials. [PDF]
Adv Healthc Mater, 2021 Hahn D +6 more
europepmc +1 more source
Minimax Estimation of the Mean of a General Distribution when the Parameter Space is Restricted [PDF]
, 1987 Avraham A. Melkman, Ya’acov Ritov
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Understanding Mechanisms of Whole Brain and Regional Grey Matter Atrophy in Children With MOGAD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the mechanisms driving whole brain and regional grey matter (GM) volume changes along with their clinical correlates in paediatric myelin oligodendrocyte glycoprotein antibody (MOG‐Ab)–associated disease (MOGAD). Methods One‐hundred‐nine paediatric MOGAD patients from two UK centres underwent MRI at attack nadir and ...
Ermelinda De Meo +14 more
wiley +1 more source
Topological equivalence of flows on homogeneous spaces, and divergence of one-parameter subgroups of Lie groups [PDF]
, 1988 Diego Benardete
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji +11 more
wiley +1 more source
Using a mixed-effect model with a parameter-space of heterogenous dimension to evaluate whether accountable care organizations are associated with greater uniformity across constituent practices. [PDF]
Stat Med, 2022 Chen G +3 more
europepmc +1 more source
Nonlinear Multi parameter Problems in Banach Space [PDF]
, 1986 Muhammad Amer, B. Ahemed
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Combined constraints on the SUSY parameter space from Δr and Higgs boson search [PDF]
, 1994 Piotr H. Chankowski
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Orthogonal projections on martingale $H^{1}$ spaces of two parameters [PDF]
, 1994 Paul F. X. Müller
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International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source