Results 71 to 80 of about 25,032 (242)

Endless continuability and convolution product

, 2014
We provide a rigorous analysis for the so-called endlessly continuable germs of holomorphic functions or in other words, the Ecalle's resurgent functions. We follow and complete an approach due to Pham, based on the notion of discrete filtered set and the associated Riemann surface defined as the space of convenient homotopy classes of paths.
Delabaere, Eric, Ou, Yafei
openaire   +2 more sources

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

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

The quantum convolution product

Journal of Physics: Conference Series
Abstract In classical statistical mechanics, physical states (probability measures) are embedded in the Banach algebra of complex Borel measures on phase space, where the algebra product is realized by convolution. Convolution is state-preserving; namely, the convolution of two classical states is a state too.
openaire   +2 more sources

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

PRODUCT AND CONVOLUTION OF CERTAIN UNIVALENT FUNCTIONS

Honam Mathematical Journal, 2016
Summary: For \(f_i\) belonging to various subclasses of univalent functions, we investigate the product given by \(h(z)=z\prod_{i=1}^n (f_i(z)/z)^{\gamma_i}\). The largest radius \(\rho\) is determined such that \(h(\rho z)/\rho\) is starlike of order \(\beta\), \(0\leq ...
Jain, Naveen Kumar, Ravichandran, V.
openaire   +2 more sources

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

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

Monochromatic Triangles, Intermediate Matrix Products, and Convolutions

, 2020
Presented at ITCS 2020.
Lincoln, Andrea, Polak, Adam, Williams, Virginia Vassilevska   +2 more
openaire   +5 more sources

Reducing Open‐Circuit Voltage Losses in Wide‐Bandgap FAPbBr3 Perovskite Solar Cells for Continuous Unassisted Light‐Driven Water Splitting

Advanced Functional Materials, EarlyView.
The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini, Daniël Grosfeld, Bruno Branco, Guus J. W. Aalbers, Lana M. Kessels, Willemijn H. M. Remmerswaal, Nicolas Daub, Kunal Datta, Martijn M. Wienk, René A. J. Janssen   +9 more
wiley   +1 more source