Results 81 to 90 of about 25,511,154 (361)

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen   +5 more
wiley   +1 more source

Economic and multivariate analysis of banana production (Musa sp.) Cultivated in the semi-arid region of northeast Brazil [PDF]

open access: yes, 2018
The objective of this work was to evaluate the economic viability and develop a multivariate analysis for banana crop data in the semi-arid region of Brazilian Northeastern.
Cardoso, E. D. (Eudes)   +7 more
core  

Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods

open access: yes, 2013
Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis. The relevance of these techniques is increasing as current sensory devices are developed with ever higher ...
Arenas-García, Jerónimo   +3 more
core   +1 more source

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams   +14 more
wiley   +1 more source

Basilar Artery Occlusion Stroke Managed With Tenecteplase Versus Alteplase Before Endovascular Treatment (BAO‐TNK)

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To compare the effectiveness and safety of tenecteplase (TNK) versus alteplase (TPA) in patients with basilar artery occlusion prior to endovascular treatment (EVT). Methods In this retrospective multicenter study (BAO‐TNK), we analyzed consecutive BAO patients from 14 U.S.
Rahul R. Karamchandani   +38 more
wiley   +1 more source

MULTIVARIATE ANALYSIS IN VECTOR TIME SERIES [PDF]

open access: yes
This paper reviews the applications of classical multivariate techniques for discrimination, clustering and dimension reduction for time series data. It is shown that the discrimination problem can be seen as a model selection problem.
Daniel Peña, Pedro Galeano
core  

On Weighted Multivariate Sign Functions

open access: yes, 2020
Multivariate sign functions are often used for robust estimation and inference. We propose using data dependent weights in association with such functions.
Chatterjee, Snigdhansu   +1 more
core  

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai   +28 more
wiley   +1 more source

Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models

open access: yesSemina: Ciências Agrárias, 2014
This work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with ...
Valéria Rosa Lopes   +4 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy