Results 41 to 50 of about 1,164,827 (340)

Nanoscale Phase Separation of Incommensurate and Quasi-Commensurate Spin Stripes in Low Temperature Spin Glass of La2−xSrxNiO4

open access: yesCondensed Matter, 2021
While spin striped phases in La2−xSrxNiO4+y for 0.25 < x < 0.33 are the archetypal case of a 1D spin density wave (SDW) phase in doped antiferromagnetic strongly correlated perovskites, few information is available on the SDW spatial organization.
Gaetano Campi   +2 more
doaj   +1 more source

Relations between three-point configuration space shear and convergence statistics

open access: yes, 2011
With the growing interest in and ability of using weak lensing studies to probe the non-Gaussian properties of the matter density field, there is an increasing need for the study of suitable statistical measures, e.g. shear three-point statistics.
Joachimi, B., Schneider, P., Shi, X.
core   +1 more source

Second order statistics based blind source separation for artifact correction of short ERP epochs [PDF]

open access: yes, 2003
ERP is commonly obtained by averaging over segmented EEC epochs. In case artifacts are present in the raw EEC measurement, pre-processing is required to prevent the averaged ERP waveform being interfered by artifacts. The simplest pre-processing approach
Chan, CCH   +5 more
core   +1 more source

Criterion‐Related Validity of the Neuropsychological Quick Assessment for Screening Cognitive, Motor, and Behavioral Impairments in Patients With Pediatric Brain Tumors: An Observational Pilot Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata   +9 more
wiley   +1 more source

Blind Component Separation in Wavelet Space: Application to CMB Analysis

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
It is a recurrent issue in astronomical data analysis that observations are incomplete maps with missing patches or intentionally masked parts. In addition, many astrophysical emissions are nonstationary processes over the sky.
J. Delabrouille   +3 more
doaj   +1 more source

Triphase Separation of a Ternary Symmetric Highly Viscous Mixture

open access: yesEntropy, 2018
We discuss numerical results of diffusion-driven separation into three phases of a symmetric, three-component highly viscous liquid mixture after an instantaneous quench from the one-phase region into an unstable location within the tie triangle of its ...
Andrea Lamorgese, Roberto Mauri
doaj   +1 more source

Mutual Exclusion Statistics in Exactly Solvable Models in One and Higher Dimensions at Low Temperatures

open access: yes, 1996
We study statistical characterization of the many-body states in exactly solvable models with internal degrees of freedom. The models under consideration include the isotropic and anisotropic Heisenberg spin chain, the Hubbard chain, and a model in ...
B. I. Halperin   +51 more
core   +2 more sources

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson   +20 more
wiley   +1 more source

Fast Exclusion Candidate Identification Based on Sparse Estimation for ARAIM Fault Exclusion Process

open access: yesRemote Sensing
Advanced receiver autonomous integrity monitoring (ARAIM) is an integrity technique for a global navigation satellite system (GNSS), centered on the multiple hypothesis solution separation (MHSS) test, which assesses the consistency between a subset and ...
Hangtian Qi, Xiaowei Cui, Mingquan Lu
doaj   +1 more source

Efficient independent component analysis

open access: yes, 2007
Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication.
Bickel, Peter J., Chen, Aiyou
core   +2 more sources

Home - About - Disclaimer - Privacy