Results 161 to 170 of about 88,173 (262)

No News Is Good News Testing Modality and Redundancy in Immersive Augmented Reality

open access: yesJournal of Computer Assisted Learning, Volume 42, Issue 1, February 2026.
ABSTRACT Background The modality and redundancy principles are well‐established within the cognitive theory of multimedia learning for their effectiveness in traditional media. However, previous studies applying these principles in virtual reality have shown contradictory results when immersive technologies are involved.
Vito Candido   +3 more
wiley   +1 more source

Solvability of invariant systems of differential equations on H2$\mathbb {H}^2$ and beyond

open access: yesMathematische Nachrichten, Volume 299, Issue 2, Page 456-479, February 2026.
Abstract We show how the Fourier transform for distributional sections of vector bundles over symmetric spaces of non‐compact type G/K$G/K$ can be used for questions of solvability of systems of invariant differential equations in analogy to Hörmander's proof of the Ehrenpreis–Malgrange theorem.
Martin Olbrich, Guendalina Palmirotta
wiley   +1 more source

New Properties of Holomorphic Sobolev-Hardy Spaces. [PDF]

open access: yesComplex Anal Oper Theory
Gryc W, Lanzani L, Xiong J, Zhang Y.
europepmc   +1 more source

Remarks on Cauchy's Integral Formula in Matric Spaces [PDF]

open access: yesProceedings of the American Mathematical Society, 1960
openaire   +1 more source

How Far Are Two Symmetric Matrices From Commuting? With an Application to Object Characterisation and Identification in Metal Detection

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 3, Page 1914-1942, February 2026.
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger   +2 more
wiley   +1 more source

The Regularized Horseshoe for Covariate Selection Improves Convenience and Predictive Performance in Population PK/PD Models

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 2, February 2026.
ABSTRACT We introduce the Regularized Horseshoe (RHS) in the context of covariate selection for population PK/PD models. Unlike stepwise approaches which are commonly used in this context, the RHS can simultaneously assess all possible parameter‐covariate relationships in a single model fit by leveraging the fact that such relationships are usually ...
Arya Pourzanjani, Casey Davis
wiley   +1 more source

Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses

open access: yesStatistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Genomics and other studies encounter many features and a selection of essential features with high accuracy is desired. In recent years, there has been a significant advancement in the use of Bayesian inference for variable (or feature) selection.
Hema Sri Sai Kollipara   +3 more
wiley   +1 more source

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