Results 261 to 270 of about 10,133,028 (343)

Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam

Advanced Engineering Materials, EarlyView.
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva, Joseph Lavoie, Afsaneh Rabiei   +2 more
wiley   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

Advanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin, Émeline Cournède, Jens Krarup, Michael Lesa, Foyzul Hasan, Amandine Séné, Arnaud Lahouati, David Benhaiem, Jérémie‐Luc Sanchez, Simon Delacroix, Thierry Gacoin, Fabienne Testard, Damien Faivre, David Carriere, Corinne Chevallard, Olivier Taché, Mark A. Levenstein   +16 more
wiley   +1 more source

The adoption of renewable energy towards environmental sustainability: Evidence from Partial Least Square Structural Equation Modelling (PLS-SEM).

PLoS One
Gyimah J, Batasuma S, Yao X, Wauk G.
europepmc   +1 more source

Stigma, social and structural vulnerability, and mental health among transgender women: A partial least square path modeling analysis. [PDF]

J Nurs Scholarsh
Sherman ADF, Higgins MK, Balthazar MS, Hill M, Klepper M, Schneider JS, Adams D, Radix A, Mayer KH, Cooney EE, Poteat TC, Wirtz AL, Reisner SL, American Cohort to Study HIV Acquisition Among Transgender Women (LITE) Study Group.   +13 more
europepmc   +1 more source

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

Advanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe, Yu Zhou, Shintaro Kamiyama, Takao Okada, Tomohiro Yokozeki, Ryoma Tokonami, Tatsuhiro Takahashi   +6 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Fast and reliable ancestral reconstruction on ancient genotype data with non-negative Least square and Principal Component Analysis

de Gennaro L, Molinaro L, Raveane A, Santonastaso F, Saponetti SS, Massi MC, Pagani L, Metspalu M, Hellenthal G, Kivisild T, Ventura M, Montinaro F.   +11 more
europepmc   +1 more source

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Backtracking search optimization algorithm-based least square support vector machine and its applications

Engineering Applications of Artificial Intelligence, 2020
Based on statistical learning theory, least square support vector machine can effectively solve the learning problem of small samples. However, the parameters of the least square support vector machine model have a great influence on its performance.
Zhongda Tian
exaly   +2 more sources

Inter-class sparsity based discriminative least square regression

Neural Networks, 2018
Least square regression is a very popular supervised classification method. However, two main issues greatly limit its performance. The first one is that it only focuses on fitting the input features to the corresponding output labels while ignoring the ...
Jie Wen, Yuanrong Xu, Yong Xu
exaly   +2 more sources

Partial least squares methods: partial least squares correlation and partial least square regression.

Methods in molecular biology, 2013
Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table.
H. Abdi, L. J. Williams
semanticscholar   +3 more sources