Results 91 to 100 of about 230,209 (328)
Properties of some difference polynomials
In this article, we investigate some properties of some difference polynomials. The results in this article improve some theorems of Liu and Laine. Several examples are provided to show that our results are best possible.
Liu, Yong, Yi, Hong-Xun
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The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties
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
wiley +1 more source
Alternatives to polynomial trend-corrected differences-in-differences models [PDF]
A common problem with differences-in-differences (DD) estimates is the failure of the parallel-trend assumption.
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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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On Value Distribution of Difference Polynomials of Meromorphic Functions
We study the value distribution of the difference counterpart Δf(z)−af(z)n of f′(z)−af(z)n and obtain an almost direct difference analogue of results of Hayman.
Zong-Xuan Chen
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On the boundedness of poles of generalized Padé approximants
Given a function F holomorphic on a neighborhood of some compact subset of the complex plane, we prove that if the zeros of the denominators of generalized Padé approximants (orthogonal Padé approximants and Padé–Faber approximants) for some row sequence
Nattapong Bosuwan
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CsPbI₃ perovskite solar cells face stability issues due to high annealing temperatures and moisture. Butylammonium acetate (BAAc) enables stable phase formation at 160°C in ambient laboratory conditions, enhancing efficiency and stability, achieving 18.6% PCE, and maintaining over 81% efficiency after 1,000 hours of maximum power point tracking under 1
Narendra Pai+10 more
wiley +1 more source
Certain properties and characterizations of a novel family of bivariate 2D-q Hermite polynomials
This study presents a novel family of bivariate 2D-qq Hermite polynomials. We derive explicit forms and qq-partial differential equations and investigate numerical aspects associated with these polynomials.
Wani Shahid Ahmad+2 more
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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
Use of bessel polynomials for solving differential difference equations
In this paper, the linear differential difference equation subject to the mixed conditions has been solved numerically using Bessel polynomials. The solution is obtained in terms of Bessel polynomials.
Zaffer Elahi+2 more
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