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The Influence of Palatoplasty on Eating Function

open access: yesPlastic and Reconstructive Surgery - Global Open, 2016
Summary: Postoperative dietary control and surgical procedures are important for minimizing complications after a palatoplasty because the palate is always exposed to stresses by various movements associated with eating. Currently, we provide fluid foods (food paste, liquid food, and soft food) to postpalatoplasty patients ...
Fujikawa, Heishiro   +2 more
openaire   +2 more sources

An approximate method for the solution of an influence function foil rolling model

open access: yes, 2004
Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten ...
D.L.S. McElwain   +5 more
core   +1 more source

The influence function of penalized regression estimators [PDF]

open access: yes, 2014
To perform regression analysis in high dimensions, lasso or ridge estimation are a common choice. However, it has been shown that these methods are not robust to outliers.
Croux, Christophe   +4 more
core   +1 more source

Large Sample Behavior of the Least Trimmed Squares Estimator

open access: yesMathematics
The least trimmed squares (LTS) estimator is popular in location, regression, machine learning, and AI literature. Despite the empirical version of least trimmed squares (LTS) being repeatedly studied in the literature, the population version of the LTS ...
Yijun Zuo
doaj   +1 more source

Scaling Up Influence Functions

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2022
We address efficient calculation of influence functions for tracking predictions back to the training data. We propose and analyze a new approach to speeding up the inverse Hessian calculation based on Arnoldi iteration. With this improvement, we achieve, to the best of our knowledge, the first successful implementation of influence functions that ...
Andrea Schioppa   +3 more
openaire   +2 more sources

Hormonal Influences on Cognitive Function

open access: yesMalaysian Journal of Medical Sciences, 2018
This article examines how hormonal changes may affect the neuronal networking and mechanisms of cognitive function. Hormones are the chemical regulators of the human body and function critically to maintain various processes, such as growth, emotions and even cognition.
Siti Atiyah, Ali   +2 more
openaire   +3 more sources

The influence of delayed graft function [PDF]

open access: yesNephrology Dialysis Transplantation, 2004
We study the incidence of delayed graft function (DGF) in a group of 3365 renal transplant recipient patients from various Spanish centres, its clinical consequences, and the evolution in time (transplants performed in 1990, 1994 and 1998) of the factors that determine its presence.
Ricard, Sola   +3 more
openaire   +2 more sources

A Study on a Single Continuous Deformable Mirror for Correction of Atmospheric Disturbance [PDF]

open access: yes한국정밀공학회지, 2018
The deformable mirror is the main component of the adaptive optical imaging system, which removes the atmospheric disturbance and acquires the target image without any loss and the beam transmission system, which transmits the laser beam to a long ...
Hyun Cheol Cho   +3 more
doaj   +1 more source

Improved method for determining rheological parameters of composite materials during creep under torsional deformation

open access: yesAviation
This paper presents an improved method for determining rheological function parameters of viscoelastic-plastic materials, demonstrated through creep under torsional deformation. The approach is based on the heredity theory (Boltzmann’s principle), using
Bidzina Abesadze, Saba Kopaliani
doaj   +1 more source

Robustness Property of Robust-BD Wald-Type Test for Varying-Dimensional General Linear Models

open access: yesEntropy, 2018
An important issue for robust inference is to examine the stability of the asymptotic level and power of the test statistic in the presence of contaminated data.
Xiao Guo, Chunming Zhang
doaj   +1 more source

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