Results 91 to 100 of about 886,403 (293)

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

Forecasting 1 to h steps ahead using partial least squares. [PDF]

This paper proposes a methodology to jointly generate optimal forecastsfrom an autoregression of order p for 1 to h steps ahead. The relevant model isa Partial Least Squares Autoregression, which is positioned in between a singleAR(p) model for all ...
Franses, Ph.H.B.F.
core   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

Short-Term Load Forecasting with Tensor Partial Least Squares-Neural Network

Energies, 2019
Short-term load forecasting is very important for power systems. The load is related to many factors which compose tensors. However, tensors cannot be input directly into most traditional forecasting models.
Yu Feng, Xianfeng Xu, Yun Meng
doaj   +1 more source

Partial robust M-regression. [PDF]

Partial Least Squares (PLS) is a standard statistical method in chemometrics. It can be considered as an incomplete, or 'partial', version of the Least Squares estimator of regression, applicable when high or perfect multicollinearity is present in the ...
Croux, Christophe, Filzmoser, P, Serneels, S, Van Espen, P   +3 more
core  

Systems Analysis by Partial Least Squares [PDF]

, 1983
This Collaborative Paper is one of a series embodying the outcome of a workshop and conference on Economic Structural Change: Analytical Issues, held at IIASA in July and August 1983.
Wold, H.
core  

Immune‐Driven Expression in Inclusion Body Myositis With T‐Cell Large Granular Lymphocytic Leukemia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of
Pannathat Soontrapa, Iago Pinal‐Fernandez, Pritikanta Paul, Michael P. Skolka, Margherita Milone, Min Shi, Mithun V. Shah, Maria Casal‐Dominguez, Katherine Pak, Andrew L. Mammen, Teerin Liewluck   +10 more
wiley   +1 more source

Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models. [PDF]

المجلة العراقية للعلوم الاحصائية
Outliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating
Mahammad Bazid, taha ali
doaj   +1 more source

Tensor Envelope Partial Least-Squares Regression

Technometrics, 2017
Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of the PLS algorithms. However, none offers a population model and interpretation, and statistical properties of the associated parameters remain intractable ...
Zhang, Xin, Li, Lexin
openaire   +1 more source

Characterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman, Asako Takanohashi, Joshua Y. Joung, Geraldine W. Liu, Kaley Arnold, Amy Pizzino, Walter Faig, Sarah Woidill, Sona Narula, Adeline L. Vanderver   +9 more
wiley   +1 more source