Results 81 to 90 of about 43,755 (258)

Uncovering the Role of Intrinsic Magnetic Order in Oxygen Evolution Reaction Activity With Operando Spectroscopy

Advanced Energy Materials, EarlyView.
Operando magnetic spectroscopy provides insight into how intrinsic magnetic order modulates the oxygen evolution reaction on La0.67Sr${\rm La}_{0.67}{\rm Sr}$0.33MnO$_{0.33}{\rm MnO}$3$_3$ thin films. Temperature‐dependent operando FMR and ambient‐pressure XMCD suggest a correlation between activity and the emergence of ferromagnetic regions near and ...
Emma van der Minne, Silvia Mauri, Anatoliy A. Vereshchagin, Vadim Ratovskii, Ellen M. Kiens, Hemanita Sharma, Jan Behrends, Piero Torelli, Gertjan Koster, Christoph Baeumer   +9 more
wiley   +1 more source

Moduli Stacks of Polarized K3 Surfaces in Mixed Characteristic [PDF]

, 2006
In this note we define moduli functors of (primitively) polarized K3 spaces. We show that they are representable by Deligne-Mumford stacks over Spec(Z). Further, we look at K3 spaces with a level structure.
Rizov, Jordan
core   +1 more source

Curve Negotiating Using Polar Polynomials for Nonholonomic Vehicles

IFAC Proceedings Volumes, 1999
Abstract What is the best way for a nonholonomic vehicle to negotiate a curve when the purpose is to keep the whole vehicle as distant as possible from both edges of the road? In some situations, maintaining the guidepoint of the vehicle on the reference path represented by the middle of the road is a clearly poor strategy that requires a lot of ...
openaire   +2 more sources

Symmetric multilinear forms and polarization of polynomials

Linear Algebra and its Applications, 2009
We study a generalization of the classical correspondence between homogeneous quadratic polynomials, quadratic forms, and symmetric/alternating bilinear forms to forms in $n$ variables. The main tool is combinatorial polarization, and the approach is applicable even when $n!$ is not invertible in the underlying field.
Drápal, Aleš, Vojtěchovský, Petr
openaire   +2 more sources

Animal‐Based Brands Taking the Plant‐Based Opportunity: A Tasting Experiment Exploring Consumer Acceptance of Plant‐Based Brand Extensions

Agribusiness, EarlyView.
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani, Mirta Casati, Elena Castellari, Fosca Vezzulli, Veronica Vitali, Milena Lambri, Claudio Soregaroli   +6 more
wiley   +1 more source

Horizontal isogeny graphs of ordinary abelian varieties and the discrete logarithm problem [PDF]

, 2017
Fix an ordinary abelian variety defined over a finite field. The ideal class group of its endomorphism ring acts freely on the set of isogenous varieties with same endomorphism ring, by complex multiplication.
Jetchev, Dimitar, Wesolowski, Benjamin
core   +1 more source

On the polar derivative of lacunary type polynomials

Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics
Let $p(z)=a_nz^n+\sum_{l=\nu}^na_{n-l}z^{n-l}$, where $1\leq \nu \leq n$, be a polynomial of degree $n$ having all its zeros in $|z|\leq k\leq 1$. For polar derivative $D_{\alpha}p(z)$, it is known that for each $|\alpha|\leq 1$ on $|z|=1$, \begin{align*} |D_{\alpha}p(z)|\leq \frac{n}{1+k^{\nu}}\Big\{(|\alpha|+k^{\nu})\|p\|_{\infty}-\frac{1 ...
Ahmad Motamednezhad, Fatemeh Mohammadi
openaire   +3 more sources

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source