نتایج جستجو برای: pls

تعداد نتایج: 12016  

2009
Raj GURURAJAN

The outcomes of clinical usefulness as a driver of wireless technology for Indian healthcare are reported here. Using both qualitative and quantitative techniques, 30 physicians were interviewed and 200 health professionals were surveyed. The outcomes established that in addition to technology factors, other factors such as clinical factors, administration factors and communication factors play...

2012
Shuai Li Lin Li Ralph Milliken Kaishan Song

0019-1035/$ see front matter Published by Elsevier http://dx.doi.org/10.1016/j.icarus.2012.07.023 ⇑ Corresponding author at: Department of Earth S Purdue University Indianapolis, IN 46202, United Stat E-mail addresses: [email protected], njushuaili@ The goal of this study is to develop an efficient and accurate model for using visible–near infrared reflectance spectra to estimate the abundance...

2013
Elisa Canu Federica Agosta Sebastiano Galantucci Adriano Chiò Nilo Riva Vincenzo Silani Andrea Falini Giancarlo Comi Massimo Filippi

OBJECTIVES This is a cross-sectional study aimed at investigating cognitive performances in patients with primary lateral sclerosis (PLS) and using diffusion tensor (DT) magnetic resonance imaging (MRI) to determine the topographical distribution of microstructural white matter (WM) damage in patients with or without cognitive deficits. METHODS DT MRI scans were obtained from 21 PLS patients ...

2010
Giorgio Russolillo

In this work we find out how PLS algorithms, properly adjusted, can work as optimal scaling algorithms. This new feature of PLS, which had until now been totally unexplored, allowed us to devise a new suite of PLS methods: the Non-Metric PLS (NM-PLS) methods. Mots-clès: Analyse des données data mining, Problèmes inverses et sparsité

2012
Kuldeep Kaur Ashok Kumar Malik Baldev Singh M. Godarzi

Simultaneous determination of difloxacin and enrofloxacin using two chemometric methods, partial least squares regression (PLS) and direct orthogonal signal correction-partial least squares regression (DOSC-PLS) is described in this paper. The simultaneous determination of these drugs is difficult due to spectral interferences. The calibration graphs were linear in the range of 1-10 μg mL-1 and...

Journal: :The Plant cell 2002
Stuart A Casson Paul M Chilley Jennifer F Topping I Marta Evans Martin A Souter Keith Lindsey

The POLARIS (PLS) gene of Arabidopsis was identified as a promoter trap transgenic line, showing beta-glucuronidase fusion gene expression predominantly in the embryonic and seedling root, with low expression in aerial parts. Cloning of the PLS locus revealed that the promoter trap T-DNA had inserted into a short open reading frame (ORF). Rapid amplification of cDNA ends PCR, RNA gel blot analy...

2005
Roman Rosipal Nicole Krämer

Partial Least Squares (PLS) is a wide class of methods for modeling relations between sets of observed variables by means of latent variables. It comprises of regression and classification tasks as well as dimension reduction techniques and modeling tools. The underlying assumption of all PLS methods is that the observed data is generated by a system or process which is driven by a small number...

Journal: :The Journal of infectious diseases 2009
Muzaffar Hussain Daniel Schäfer Katri M Juuti Georg Peters Bettina Haslinger-Löffler Pentti I Kuusela Bhanu Sinha

BACKGROUND The methicillin-resistant Staphylococcus aureus (MRSA) surface protein Pls (plasmin sensitive) reduces adhesion to host proteins and cellular invasiveness by an unknown mechanism that requires Pls expression. Here, we tested the effect of Pls expression using different pls-negative backgrounds. METHODS Three pls-negative strains (the methicillin-susceptible Staphylococcus aureus st...

Journal: :Remote Sensing 2017
Kensuke Kawamura Yasuhiro Tsujimoto Michel Rabenarivo Hidetoshi Asai Andry Andriamananjara Tovohery Rakotoson

Visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy with partial least squares (PLS) regression is a quick, cost-effective, and promising technology for predicting soil properties. The advantage of PLS regression is that all available wavebands can be incorporated in the model, while earlier studies indicate that PLS models include redundant wavelengths, and selecting specific ...

2005
Quan-Sen Sun Zhong Jin Pheng-Ann Heng De-Shen Xia

The partial least squares (PLS) regression is a new multivariate data analysis method. In this paper, based on the ideas of PLS model and feature fusion, a new non-iterative PLS algorithm and a novel method of feature fusion are proposed. The proposed method comprises three steps: firstly, extracting two sets of feature vectors with the same pattern and establishing PLS criterion function betwe...

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