Results 41 to 50 of about 4,779,838 (300)
Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
Variance reduction for Poisson and Markov jump processes [PDF]
, 2011 This thesis develops new variance reduction algorithms for the simulation and estimation of stochastic dynamic models. It provides particular application to particle dynamics models including an emissions process and radioactive decay.
Maginnis, Peter A.
core
Modeling Variance: A Variance-Motivated Approach to Molecular Prediction [PDF]
, 2020 In this variance-motivated study, the variance of a multi-thousand molecular dataset of Coulomb matrices is analyzed. This paper presents novel statistical methods and models that can aide in molecular prediction and analysis.
na\u27il, mitchell
core +1 more source
The variance of a poisson process of domains [PDF]
, 1986 A familiar relation links the densities that result for the intersection of a convex body and straight lines under uniform isotropic randomness with those that result under weighted randomness.
Kellerer, Albrecht M., A. M. Kellerer
core +1 more source
An Integral-Equation-Based Variance Reduction Method for Accelerated Monte Carlo Simulations
Photonics, 2023 In this work, we introduce a novel variance reduction approach utilising the integral formulation of the radiative transfer equation to calculate the radiance in a planar symmetric slab geometry.
David Hevisov +3 more
doaj +1 more source
Robust Support Vector Machine Based on Momentum Acceleration Zero-Order Variance Reduction [PDF]
Jisuanji gongcheng, 2020 In the actual classification problem,there is often a certain amount of noise in the data caused by the influence of artificial or other factors,so it is very important to improve the anti-noise ability of the classifier.However,the hinge loss function ...
LU Shuxia, CAI Lianxiang, ZHANG Luohuan
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport
Frontiers in Physics, 2021 After a brief description of the essentials of Monte Carlo simulation methods and the definition of simulation efficiency, the rationale for variance-reduction techniques is presented.
Salvador García-Pareja +2 more
doaj +1 more source
Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier +18 more
wiley +1 more source
Demographic Stochasticity and the Variance Reduction Effect [PDF]
Ecology, 2002 Demographic stochasticity is almost universally modeled as sampling var- iance in a homogeneous population, although it is defined as arising from random variation among individuals. This can lead to serious misestimation of the extinction risk in small populations.
Fox, Gordon A, Kendall, Bruce E.
openaire +3 more sources