Results 51 to 60 of about 86,229 (292)

Improving the Performance of Robust Partial Least Squares Regression Using an Iterative Approach

مجلة الغري للعلوم الاقتصادية والادارية
The robust partial least squares regression method provides a solution to noise and outliers in the estimated models by maximizing the explanation ratios of the independent and dependent variables (determination coefficient). Three proposed methods were
Mahammad Mahmoud Bazid Bazid, Taha Hussein Ali Ali   +1 more
doaj   +1 more source

Optimization of wood flour acetylation by factorial design and partial least squares regression

Química Nova, 2012
Acetylation was performed to reduce the polarity of wood and increase its compatibility with polymer matrices for the production of composites. These reactions were performed first as a function of acetic acid and anhydride concentration in a mixture ...
Lisandra M. K. Nadal, Daniele C. Cararo, Luís A. Pinheiro, Rosilene A. Prestes   +3 more
doaj   +1 more source

Seasonal Prediction of Arctic Summer Sea Ice Concentration from a Partial Least Squares Regression Model

Atmosphere, 2021
The past decade has witnessed a rapid decline in the Arctic sea ice and therefore has raised a rising demand for sea ice forecasts. In this study, based on an analysis of long-term Arctic summer sea ice concentration (SIC) and global sea surface ...
Xiaochen Ye, Zhiwei Wu
doaj   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Inferential control with the aid of modified QPLS-based soft sensor for an industrial FCCU fractionator [PDF]

, 2010
A modified quadratic partial least squares (MQPLS) algorithm based on non-linear constrained programming is proposed, in which a sequential unconstrained minimisation technique is employed to calculate the outer input weights and the parameters of inner ...
Yang, Minghui, Sheng Chen, Tu, Ling, Xuemin Tian, Chen, Sheng, Ling Tu, Tian, Xuemin, Minghui Yang   +7 more
core   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression

Remote Sensing, 2014
The use of spectral features to estimate leaf area index (LAI) is generally considered a challenging task for hyperspectral data. In this study, the hyperspectral reflectance of winter wheat was selected to optimize the selection of spectral features and
Xinchuan Li, Youjing Zhang, Yansong Bao, Juhua Luo, Xiuliang Jin, Xingang Xu, Xiaoyu Song, Guijun Yang   +7 more
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression.

PLoS ONE, 2015
With the growing availability of large-scale biological datasets, automated methods of extracting functionally meaningful information from this data are becoming increasingly important.
Sonja Lehtinen, Jon Lees, Jürg Bähler, John Shawe-Taylor, Christine Orengo   +4 more
doaj   +1 more source

Likelihood-based Imprecise Regression [PDF]

, 2011
We introduce a new approach to regression with imprecisely observed data, combining likelihood inference with ideas from imprecise probability theory, and thereby taking different kinds of uncertainty into account.
Marco E. G. V. Cattaneo, Cattaneo, Marco E.G.V., Wiencierz, Andrea, Cattaneo, Marco E. G. V., Andrea Wiencierz   +4 more
core   +1 more source