Results 81 to 90 of about 17,823 (205)
Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3213-3226, June 2026.ABSTRACT Purpose Diffusion MRI probes tissue microstructure, but low SNR and limited resolution hinder detection of features and parameter estimates. We introduce slice excitation with random overlap (SERO), which enables variable repetition times (TRs) and diffusion weighting within a single shot.
Felix Mortensen +7 more
wiley +1 more source
Generalisation of the Cumulants of Flow Amplitudes to the higher orders
, 2021 Studies of the hydrodynamic response of the quark-gluon plasma created in ultra-relativistic heavy-ion collisions to the initial state anisotropies, a phenomenon known as anisotropic flow, allowed the determination of some of the properties of the produced medium.
openaire +2 more sources
A general procedure for detector–response correction of higher order cumulants [PDF]
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2018 We propose a general procedure for the detector-response correction (including efficiency correction) of higher order cumulants observed by the event-by-event analysis in heavy-ion collisions. This method makes use of the moments of the response matrix characterizing the property of a detector, and is applicable to a wide variety of response matrices ...
Nonaka, Toshihiro +2 more
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NMR in Biomedicine, Volume 39, Issue 6, June 2026.Our hierarchical Bayesian modelling (HBM) technique is demonstrated in two neuroimaging diffusion MRI models. When compared with least‐squares (LSQ) minimisation, HBM increased the accuracy, precision, contrast‐to‐noise ratio and parameter map quality in simulated and human data. HBM also resolved local parameter variations associated with white matter
Elizabeth Powell +5 more
wiley +1 more source
Multifractality in a broad class of disordered systems
, 2004 We study multifractality in a broad class of disordered systems which includes, e.g., the diluted x-y model. Using renormalized field theory we analyze the scaling behavior of cumulant averaged dynamical variables (in case of the x-y model the angles ...
A. Bunde +5 more
core +1 more source
Understanding the Phenotypic Heterogeneity Within the Sporadic Creutzfeldt–Jakob Disease MV1 Subtype
Neuropathology and Applied Neurobiology, Volume 52, Issue 3, June 2026.We present the clinical, pathological and prion biophysical features of three atypical cases of the MV1 subtype of sporadic Creutzfeldt–Jakob disease (sCJD). We propose that these heterozygous cases exist on a spectrum ranging from MM1‐like to VV1‐like phenotypes and recommend that subtyping be performed at pH 6.9 to avoid missing atypical or mixed ...
Satish K. Nemani +6 more
wiley +1 more source
Sample Variance of the Higher-Order Cumulants of Cosmic Density and Velocity Fields
, 1998 If primordial fluctuation is Gaussian distributed, higher-order cumulants of the cosmic fields reflect nonlinear mode coupling and provide useful information of gravitational instability picture of structure formation.
Seto, Naoki, Yokoyama, Jun'ichi
core +1 more source
Advanced Functional Materials, Volume 36, Issue 38, 11 May 2026.Cephalopod‐inspired photonic microparticles with dynamic structural coloration are fabricated via confined self‐assembly of linear block copolymers into ellipsoids containing stacked lamellae. Embedded superparamagnetic nanoparticles enable rapid magnetic alignment, restoring vivid, angle‐dependent color.
Gianluca Mazzotta +8 more
wiley +1 more source
On the neglecting of higher-order cumulants in EXAFS data analysis
Journal of Synchrotron Radiation, 2009 The cumulant expansion is one of the most powerful and useful methods for EXAFS data analysis, in which the higher-order cumulants allow to consider deviations from a simple Gaussian distribution. In this work, analytical expressions have been derived to show the effects of neglecting higher-order cumulants in EXAFS analysis by the ratio method.
openaire +5 more sources
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source