Results 91 to 100 of about 291,981 (317)

Poly(1,4‐anthraquinone) as an Organic Electrode Material: Interplay of the Electronic and Structural Properties due to the Unusual Lone‐Pair‐π Conjugation

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
In this study, the unique role of the unusual lone‐pair‐π conjugation mechanism in poly(1,4‐anthraquinone) (P14AQ) is explored as an organic electrode material. Unlike traditional π‐π interactions, P14AQ's conjugation involves lone pairs of oxygen atoms interacting with the π cloud of adjacent units, enabling stable charge transport even with minimal π‐
Xiaotong Zhang, Piotr de Silva
wiley   +1 more source

Engineering the Hierarchical Porosity of Granular Hydrogel Scaffolds Using Porous Microgels to Improve Cell Recruitment and Tissue Integration

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
By fabricating and covalently assembling gelatin methacryloyl (GelMA) porous microgels, a new class of granular hydrogel scaffolds with hierarchical porosity is developed. These scaffolds have a significantly higher void fraction than their counterparts made up of nonporous microgels, enhancing cell recruitment and tissue integration. This research may
Alexander Kedzierski, Sina Kheirabadi, Arian Jaberi, Zaman Ataie, Catherine L. Mojazza, Marisa L. Williamson, Anton M. Hjaltason, Aneesh Risbud, Yuanhui Xiang, Amir Sheikhi   +9 more
wiley   +1 more source

COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA

Media Statistika
Analysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation.
Mastika Mastika, Titin Siswantining, Alhadi Bustamam   +2 more
doaj   +1 more source

A Comparison Between Estimating The Parameters of The Gaussian Process Regression Model Using The Maximum Likelihood and The Restricted Maximum Likelihood Methods [PDF]

مجلة التربية والعلم
Gaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions.
Amena ilyas, Younus Al-Taweel
doaj   +1 more source

A strong limit theorem for Gaussian processes [PDF]

, 1956
Glen Baxter
openalex   +1 more source

Continuity of Gaussian processes [PDF]

Transactions of the American Mathematical Society, 1970
L. A. Shepp, Michael B. Marcus
openaire   +3 more sources

Uniform reconstruction of Gaussian processes

Stochastic Processes and their Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Klaus Ritter, Thomas Müller-Gronbach
openaire   +2 more sources

Enhancing Optoelectronic Properties in Phthalocyanine‐Based SURMOFs: Synthesis of ABAB Linkers by Avoiding Statistical Condensation with Tailored Building Blocks

Advanced Functional Materials, EarlyView.
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer, Mareen Stahlberger, Xiaojing Liu, Yi Luo, Niklas E. Häußermann, Puja Singhvi, Yidong Liu, Olaf Fuhr, Martin Nieger, Lars Heinke, Thomas Heine, Christof Wöll, Stefan Bräse   +12 more
wiley   +1 more source

Fault Tolerant Control Using Gaussian Processes and Model Predictive Control

International Journal of Applied Mathematics and Computer Science, 2015
Essential ingredients for fault-tolerant control are the ability to represent system behaviour following the occurrence of a fault, and the ability to exploit this representation for deciding control actions.
Yang Xiaoke, Maciejowski Jan M.
doaj   +1 more source

The Expected Number of Zeros of a Stationary Gaussian Process [PDF]

, 1965
N. Donald Ylvisaker
openalex   +1 more source