Results 171 to 180 of about 60,275 (251)

Agraphia due to Conversion Disorder (Functional Neurological Symptom Disorder) in an 8-year-old boy: a case report. [PDF]

Front Psychiatry
Tran NMH, Le TTA, Nguyen VQH.
europepmc   +1 more source

Biomimetic Iridescent Skin: Robust Prototissues Spontaneously Assembled from Photonic Protocells

Advanced Functional Materials, EarlyView.
Uniform nanoparticles are induced to form arrays (photonic crystals) in the cores of biopolymer capsules, endowing these ‘protocells’ with structural color. These protocells are then assembled into large self‐standing objects, i.e., prototissues, with robust mechanical properties as well as iridescent optical properties.
Medha Rath, Briahnah Streeter, Satyam Srivastava, Jemma Wood, William E. Bentley, Taylor J. Woehl, Srinivasa R. Raghavan   +6 more
wiley   +1 more source

A Dataset of Real and Synthetic Speech in Ukrainian. [PDF]

Sci Data
Lipianina-Honcharenko K, Bohuta H, Ivaniush A, Soia M.   +3 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

Mesoscopic Interference of Rotated Spins in Graphene Coupled to High-Spin-Orbit-Coupling Substrates. [PDF]

ACS Appl Mater Interfaces
Yokoi K, Somphonsane R, Ramamoorthy H, Arabchigavkani N, He K, Barut B, Yin S, Randle MD, Dixit R, Nathawat J, Fransson J, Kim GH, Watanabe K, Taniguchi T, Bird JP, Aoki N.   +15 more
europepmc   +1 more source

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

Advanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons, Rhys J. Bourhill, Ewan McQueen, Sam D. Harding, Krzysztof Pawlak, Thomas Fellowes, Harry W. Capps, Alexander J. Cowan, Andrew I. Cooper, Adrian M. Gardner, Martijn A. Zwijnenburg, Reiner Sebastian Sprick   +11 more
wiley   +1 more source

Image colorization based on transformer. [PDF]

Sci Rep
Xu M.
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

Cross-modal integration of metabolomics and cardiac functionality captures dynamic metabotoxic effects of doxorubicin in engineered heart tissues. [PDF]

Stem Cell Reports
Conte F, Staykova DK, Cofiño-Fabres C, Snippert D, van Rooij A, Lefeber DJ, Passier R.   +6 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