Results 71 to 80 of about 466,566 (229)

On high-dimensional sign tests

open access: yes, 2016
Sign tests are among the most successful procedures in multivariate nonparametric statistics. In this paper, we consider several testing problems in multivariate analysis, directional statistics and multivariate time series analysis, and we show that ...
Paindaveine, Davy, Verdebout, Thomas
core   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

open access: yesAdvanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner   +12 more
wiley   +1 more source

Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies

open access: yesAdvanced Functional Materials, EarlyView.
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra   +5 more
wiley   +1 more source

MaxSkew and MultiSkew: Two R Packages for Detecting, Measuring and Removing Multivariate Skewness

open access: yes, 2019
Skewness plays a relevant role in several multivariate statistical techniques. Sometimes it is used to recover data features, as in cluster analysis. In other circumstances, skewness impairs the performances of statistical methods, as in the Hotelling's ...
Franceschini, Cinzia, Loperfido, Nicola
core  

A rigorous and efficient asymptotic test for power-law cross-correlation [PDF]

open access: yes, 2013
Podobnik and Stanley recently proposed a novel framework, Detrended Cross-Correlation Analysis, for the analysis of power-law cross-correlation between two time-series, a phenomenon which occurs widely in physical, geophysical, financial and numerous ...
Blythe, Duncan A. J.
core  

Rank-based optimal tests of the adequacy of an elliptic VARMA model

open access: yes, 2004
We are deriving optimal rank-based tests for the adequacy of a vector autoregressive-moving average (VARMA) model with elliptically contoured innovation density.
Hallin, Marc, Paindaveine, Davy
core   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

open access: yesAdvanced 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

Effects of the Jigsaw and Teams Game Tournament (TGT) Cooperative Learning on the Learning Motivation and Mathematical Skills of Junior High School Students [PDF]

open access: yes, 2011
This study aims to: 1) describe the effectiveness of the jigsaw and TGT cooperative learning in the learning motivation and mathematical skills of junior high school (JHS) students, and 2) investigate the significant difference in the learning motivation
Syahrir, S.Pd, Syahrir, S.Pd
core  

Multivariate Geometric Skew-Normal Distribution

open access: yes, 2017
Azzalini (1985) introduced a skew-normal distribution of which normal distribution is a special case. Recently Kundu (2014) introduced a geometric skew-normal distribution and showed that it has certain advantages over Azzalini's skew-normal distribution.
Kundu, Debasis
core   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

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