Results 81 to 90 of about 91,920 (292)

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

open access: yesScientia 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   +1 more
doaj   +1 more source

SPG4 and Dementia: Expanding the Clinical Spectrum

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza   +19 more
wiley   +1 more source

Microwave characterization using partial least square regression

open access: yes2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016
Inverse problems for determination of dielectric materials properties (complex permittivity) are usually solved by iterative methods using numerically based forward model. These methods are computationally expensive. In this paper, we propose a fast inversion model based on partial least square regression (PLSR).
Sadou, Hakim   +4 more
openaire   +3 more sources

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen   +7 more
wiley   +1 more source

Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine

open access: yesDiscrete Dynamics in Nature and Society, 2020
Partial least squares method has many advantages in multivariate linear regression modeling, but its internal cross-checking method will lead to a sharp reduction of the principal component, thereby reducing the accuracy of the regression equation, and ...
Wang-ping Xiong   +6 more
doaj   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao   +6 more
wiley   +1 more source

Predicting grain protein content in wheat using hyperspectral sensing of in-season crop canopies and partial least squares regression [PDF]

open access: yes, 2006
[Abstract]: The ability to estimate and map grain protein in cereal crops prior to harvest can benefit Australian grain growers. Segregation of grain by protein content can take advantage of price premiums, as well as to retrospectively assess the ...
Apan, Armando   +6 more
core  

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan   +14 more
wiley   +1 more source

Partial Least Squares Methods for Non-Metric Data

open access: yes, 2009
Partial Least Squares (PLS) methods embrace a suite of data analysis techniques based on algorithms belonging to PLS family. These algorithms consist in various extensions of the Nonlinear estimation by Iterative PArtial Least Squares (NIPALS) algorithm,
Russolillo, Giorgio
core  

Comparison of partial least squares regression and principal component regression for pelvic shape prediction.

open access: yes, 2013
This paper studied two different regression techniques for pelvic shape prediction, i.e., the partial least square regression (PLSR) and the principal component regression (PCR).
Schumann, Steffen   +2 more
core   +1 more source

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