Results 81 to 90 of about 397,898 (309)

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

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

Partial least squares (PLS) regression and its application to coal analysis

Revista Técnica de la Facultad de Ingeniería, 2010
Instrumental chemical analysis methods use the relationships between a signal obtained and a property (generally a concentration) of the system under study.
Carlos Alciaturi, Marcos Escobar, Carlos De La Cruz, Carlos Rincón   +3 more
doaj  

Expectile Matrix Factorization for Skewed Data Analysis

, 2017
Matrix factorization is a popular approach to solving matrix estimation problems based on partial observations. Existing matrix factorization is based on least squares and aims to yield a low-rank matrix to interpret the conditional sample means given ...
Kong, Linglong, Li, Zongpeng, Niu, Di, Zhu, Rui   +3 more
core   +1 more source

Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer, Simon Faissner, Ralf Gold, Aiden Haghikia   +3 more
wiley   +1 more source

Estimation of leaf nutrient concentration from hyperspectral reflectance in Eucalyptus using partial least squares regression

Scientia Agricola, 2020
: Leaf hyperspectral reflectance has been used to estimate nutrient concentrations in plants in narrow bands of the electromagnetic spectrum. The aim of this study was to estimate leaf nutrient concentrations using leaf hyperspectral reflectance and ...
Luiz Felipe Ramalho de Oliveira, Reynaldo Campos Santana   +1 more
doaj   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting [PDF]

This paper revisits a number of data-rich prediction methods, like factor models, Bayesian ridge regression and forecast combinations, which are widely used in macroeconomic forecasting, and compares these with a lesser known alternative method: partial ...
George Kapetanios, Jan J.J. Groen
core  

An empirical study of PLAD regression using the bootstrap [PDF]

, 2018
Partial LAD regression uses the L 1 norm associated with least absolute deviations (LAD) regression while retaining the same algorithmic structure of univariate partial least squares (PLS) regression.
Kondylis, Athanassios, Whittaker, Joe
core  

​Did a Non‐Medical Biosimilar Switching Policy Cause an Increase in Non‐Biologic/Biosimilar Health Care Resource Utilization or Cost in Patients With Inflammatory Arthritis?

Arthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the impact of a series of policies that mandated switching patients with inflammatory arthritis (IA) from an originator biologic to a biosimilar in British Columbia, Canada, on health care resource use and cost.
HaoHung Dang, Sandra Blitz, Nick Bansback, Michael Law, Mark Harrison   +4 more
wiley   +1 more source