Results 91 to 100 of about 1,291,137 (334)
Polynomial interpolation problem for skew polynomials [PDF]
Applicable Analysis and Discrete Mathematics, 2007 Let R = K[x;δ] be a skew polynomial ring over a division ring K. We introduce the notion of derivatives of skew polynomial at scalars. An analogous definition of derivatives of commutative polynomials from K[x] as a function of K[x] → K[x] is not possible in a non-commutative case.
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The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties
Advanced Functional Materials, EarlyView.Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe +9 more
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Advanced Functional Materials, EarlyView.An alginate‐based biochar hydrogel (ABC‐hydrogel), derived from sewage sludge, is developed for simultaneous phosphate removal and agricultural reuse. It captures phosphorus from water and gradually releases it as fertilizer, enhancing lettuce growth.
Yu Zhang +4 more
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The Trigonometric Polynomial Like Bernstein Polynomial [PDF]
The Scientific World Journal, 2014 A symmetric basis of trigonometric polynomial space is presented. Based on the basis, symmetric trigonometric polynomial approximants like Bernstein polynomials are constructed. Two kinds of nodes are given to show that the trigonometric polynomial sequence is uniformly convergent.
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Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Advanced Functional Materials, EarlyView.Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 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 +7 more
wiley +1 more source
Upper Bounds of the Complexity of Functions over Finite Fields in Some Classes of Kroneker Forms
Известия Иркутского государственного университета: Серия "Математика", 2015 Polynomial representations of Boolean functions have been studied well enough. Recently, the interest to polynomial representations of functions over finite fields and over finite rings is being increased.
A.S. Baliuk, G.V. Yanushkovsky
doaj
Advanced Functional Materials, EarlyView.Herein, the topochemical transformation of cobalt‐based layered hydroxides into nanocomposites is investigated using advanced real‐time characterization techniques combined with thermogravimetric analysis. The study reveals how interlayer carboxylic acids direct the transformation pathway, highlighting the role of carbon content and anion length. These
Camilo Jaramillo‐Hernández +5 more
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Polynomial Algebras Have Polynomial Growth [PDF]
Transactions of the American Mathematical Society, 1987 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source