Results 211 to 220 of about 1,007,914 (329)

A reduced basis decomposition approach to efficient data collection in pairwise comparison studies. [PDF]

Comput Stat
Jiang J, Marsh J, Seymour R.
europepmc   +1 more source

Fast Approximation Algorithms for Art Gallery Problems in Simple Polygons [PDF]

, 2011
Dae-Sung Jang, Sunil Kwon
openalex   +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

Multiharmonic Algorithms for Contrast-Enhanced Ultrasound. [PDF]

J Sci Comput
Nikolić V, Rauscher T.
europepmc   +1 more source

Large Deviations Analysis For Regret Minimizing Stochastic Approximation Algorithms [PDF]

Hongjiang Qian, Vikram Krishnamurthy
openalex   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 more
wiley   +1 more source

Decreasing the computing time of approximated reliabilities of genomic estimated breeding values in the single-step genomic best linear unbiased predictor using different core sizes for the algorithm for proven and young. [PDF]

JDS Commun
Sanchez-Sierra SN, Bermann M, Vukasinovic N, Sánchez-Castro MA, Misztal I, Lourenco D.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Axial X-Ray Microscopy in Nanotomography. [PDF]

Tomography
Gaikovich KP, Malyshev IV, Reunov DG, Chkhalo NI.   +3 more
europepmc   +1 more source

Approximation algorithms for capacitated stochastic inventory systems with setup costs

, 2014
Cong Shi, Huanan Zhang, Xiuli Chao, Retsef Levi   +3 more
openalex   +1 more source