Results 181 to 190 of about 1,027,629 (244)

Lipid-stabilized ICG nanoaggregates for the photodisruption of vitreous opacities. [PDF]

Mater Today Bio
Ramezani P, Félix J, Ussembayev Y, Hugo Silva M, Lentacker I, Verbeke R, Braeckmans K, De Smedt SC, Sauvage F.   +8 more
europepmc   +1 more source

Tuning the Dielectric Properties of Individual Clay Nanosheets by Interlayer Composition: Toward Nano‐Electret Materials

Advanced Functional Materials, EarlyView.
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich, Paul Markus, Matthias Stöter, Bernhard Biersack, Rainer Schobert, Josef Breu, Georg Papastavrou   +6 more
wiley   +1 more source

Network Component Analysis Can Identify Potential Axenisation Strategies Circumventing Antibiotic-Use for Phototrophic Eukaryotic Microalgae. [PDF]

Environ Microbiol Rep
Iyer A, Monissen M, Teo Q, Modin O, Halim R.   +4 more
europepmc   +1 more source

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

Advanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt, Jens Timmer, Elisabetta Ada Cavalcanti‐Adam   +2 more
wiley   +1 more source

Comparison of wet mount, Mini-FLOTAC and Midi Parasep® coprological techniques for the detection of <i>Crenosoma striatum</i>, <i>Capillaria</i> spp. and <i>Brachylaemus erinacei</i> in European hedgehogs (<i>Erinaceus</i> <i>europaeus</i>). [PDF]

Int J Parasitol Parasites Wildl
Wu X, Gilmore P, Sturaro A, Bexton S, Panto B, Hoyle RC, Chantrey J, Van de Weyer Y.   +7 more
europepmc   +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

The Alzheimer's Disease Diagnosis and Plasma Phospho-Tau217 (ADAPT) study stage 1: Validating clinical cut-points against CSF and amyloid PET. [PDF]

Alzheimers Dement
Keshavan A, Wiltshire K, Wee R, Belio IG, Tucker K, Hart M, Lunn MP, David MCB, Rizzo L, Sadeghi-Alavijeh O, Wilson P, Gale DP, Heslegrave AJ, Zetterberg H, Fox NC, Malhotra P, Schott JM.   +16 more
europepmc   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +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