Results 131 to 140 of about 232,548 (306)

Dimensionality Reduction Nonlinear Partial Least Squares Method for Quality-Oriented Fault Detection

open access: yesMathematics
Unlike traditional fault detection methods, quality-oriented fault detection further classifies the types of faults into quality-related and non-quality-related faults.
Jie Yuan, Hao Ma, Yan Wang
doaj   +1 more source

Detection of sclerotinia rot disease on celery using hyperspectral data and partial least squares regression [PDF]

open access: yes, 2006
There is a need to detect and assess the incidence of Sclerotinia rot disease in celery (Apium graveolens). In this study, we examined the potential of hyperspectral sensing to detect the symptoms of this disease in celery crop.
Huang, J-F., Apan, Armando
core  

Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis

open access: yes, 2013
A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Anita Rácz   +7 more
core   +1 more source

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni   +19 more
wiley   +1 more source

Partial least squares structural equation modeling-based discrete choice modeling : an illustration in modeling hospital choice with latent class segmentation

open access: yes, 2022
The aim of this chapter is to showcase the effectiveness of partial least squares structural equation modeling (PLS-SEM) in estimating choices based on data derived from discrete choice experiments. To achieve this aim, we employ a PLS-SEM-based discrete
Lichters, Marcel   +2 more
core  

Long‐Term Efficacy of Immunotherapy in Autoimmune Autonomic Ganglionopathy—A 10‐Year Follow Up Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune autonomic ganglionopathy (AAG) is a rare but potentially treatable cause of severe autonomic failure. Evidence guiding long‐term immunotherapy, treatment sequencing, and residual autonomic impairment is limited. We evaluated long‐term treatment response, residual autonomic dysfunction, and relapse patterns in patients with
Giacomo Chiaro   +6 more
wiley   +1 more source

Component-based structural equation modelling [PDF]

open access: yes
In this research, the authors explore the use of ULS-SEM (Structural-Equation-Modelling), PLS (Partial Least Squares), GSCA (Generalized Structured Component Analysis), path analysis on block principal components and path analysis on block scales on ...
TENENHAUS, Michel
core  

Implementing PLS for distance-based regression: computational issues [PDF]

open access: yes, 2006
Distance-based regression allows for a neat implementation of the Partial Least Squares recurrence. In this paper we address practical issues arising when dealing with moderately large datasets (n ~ 10^4) such as those typical of automobile insurance ...
Boj, Eva   +4 more
core  

Partial least squares fusing unsupervised learning

open access: yes, 2018
In this paper, partial least squares to fuse unsupervised learning, called fused clustered least squares (FCLS), is proposed. As an unsupervised method, the K-means clustering algorithm is adopted, and it clusters either the original predictors or its ...
유재근
core   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru   +13 more
wiley   +1 more source

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