Results 91 to 100 of about 93,121 (296)

Multifunctional Protein Eutectogels Based on Polyphenolic: Zwitterionic Low‐Transition‐Temperature Mixtures

Advanced Functional Materials, EarlyView.
This work presents the first example of multifunctional protein eutectogels based on a tannic acid: betaine low‐transition‐temperature mixture, exhibiting elastomeric behavior, strong adhesion to various substrates, including biological tissues, and notable anti‐inflammatory properties derived from the natural polyphenol and zwitterion.
Sergio Martin‐Saldaña, Alberto de León, María de la Mata, Nikolaos Politakos, Jorge L. Olmedo‐Martínez, Alejandro J. Müller, Ana Beloqui, Marcelo Calderón, Matias L. Picchio   +8 more
wiley   +1 more source

The m-weak group inverse for rectangular matrices

Electronic Research Archive
An extension of the $ m $-weak group inverse (or $ m $-WGI) on the set of rectangular matrices is provided to solve some systems of matrix equations. The extension is termed as the $ W $-weighted $ m $-WGI (or $ W $-$ m $-WGI).
D. Mosić, P. S. Stanimirović , L. A. Kazakovtsev   +2 more
doaj   +1 more source

Inverse application of the generalized Littlewood theorem concerning integrals of the logarithm of analytic functions: an easy method to establish equalities between different analytic functions [PDF]

, 2023
S. K. Sekatskiǐ
openalex   +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

The $\mathfrak{m}$-CCE Inverse in Minkowski Space and Its Applications

Axioms
In this paper, we introduce a new generalized inverse called m-CCE inverse which presents a generalization of the CCE inverse in Minkowski space by using the m-core-EP decomposition and the Minkowski inverse.
Xin Tan, Xiaoji Liu
doaj   +1 more source

An Efficient, Generalized Bellman Update For Cooperative Inverse\n Reinforcement Learning [PDF]

, 2018
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan   +5 more
openalex   +1 more source

Tailoring Microstructure in Copper‐Based Conductive Metal–Organic Frameworks for Enhanced Chemiresistive Sensing and Uptake of Sulfur Dioxide

Advanced Functional Materials, EarlyView.
Precursor‐ and solvent‐mediated synthesis yields four Cu3(HHTP)2 morphologies with distinct physicochemical, sorption, and sensing properties toward SO2. Uptake capacities correlate with BET surface area, while sensing performance scales with particle aspect ratio.
Patrick Damacet, Zhuoran Zhong, Elí Sánchez‐González, Camille L. Slagle, Ilich A. Ibarra, Katherine A. Mirica   +5 more
wiley   +1 more source

Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning [PDF]

, 2022
Paul Rolland, Luca Viano, Norman Schuerhoff, Boris Nikolov, Volkan Cevher   +4 more
openalex   +1 more source

High‐Entropy Perovskite Nanofibers for Bifunctional Air Electrodes in Reversible Protonic Ceramic Electrochemical Cells

Advanced Functional Materials, EarlyView.
High‐entropy perovskite nanofibers serve as robust and active bifunctional air electrodes in reversible protonic ceramic electrochemical cells. Their compositional complexity stabilizes the lattice, enriches oxygen vacancies, and accelerates surface exchange.
Hyeonggeun Kim, Incheol Jeong, Seeun Oh, Dongyeon Kim, Kang Taek Lee   +4 more
wiley   +1 more source

Extensions of pseudo-Perron-Frobenius splitting related to generalized inverse AT,S(2)

Special Matrices, 2018
We in this paper define the outer-Perron-Frobenius splitting, which is an extension of the pseudo- Perron-Frobenius splitting defined in [A.N. Sushama, K. Premakumari, K.C.
Huang Shaowu, Wang Qing-Wen, Wu Shuxia, Yu Yaoming   +3 more
doaj   +1 more source