Results 101 to 110 of about 1,415 (175)

Integral Betti signatures of brain, climate and financial networks compared to hyperbolic, Euclidean and spherical models. [PDF]

Sci Rep
Caputi L, Pidnebesna A, Hlinka J.
europepmc   +1 more source

Network geometry, topology, and spectral analysis in global stock markets: Insights from using the Ricci curvature, Euler characteristic, and random matrix theory. [PDF]

PLoS One
Domínguez-Monterroza A, Jiménez-Martín A, Mateos Caballero A.   +2 more
europepmc   +1 more source

Optimizing Large‐Scale Mathematical Assessments: Leveraging Hierarchical Attribute Structures and Diagnostic Classification Models for Enhanced Student Diagnostics

Educational Measurement: Issues and Practice, Volume 45, Issue 2, Summer 2026.
Abstract Diagnostic classification models (DCMs) assess students’ mastery of cognitive attributes to provide personalized ability profiles. Retrofitting DCMs to large‐scale mathematics assessments usually relies on inferred Q‐matrices, which can reduce accuracy and diagnostic value.
Farshad Effatpanah, Olga Kunina‐Habenicht, Steve Bernard, Caroline Hornung, Philipp Sonnleitner   +4 more
wiley   +1 more source

Optimal hyperdimensional representation for learning and cognitive computation. [PDF]

Front Artif Intell
Poduval PP, Errahmouni Barkam H, Liu X, Yun S, Ni Y, Zou Z, Bastian ND, Imani M.   +7 more
europepmc   +1 more source

The Evolution of Hutchinsonian Climatic Niche Hypervolumes in Gymnosperms

Global Ecology and Biogeography, Volume 35, Issue 6, June 2026.
ABSTRACT Aim The niche is a fundamental concept in theoretical and experimental ecology and is used to describe a wide range of ecological processes from species' interactions with the environment to community assemblies. A common way to represent the niche is through a multidimensional geometry known as the Hutchinsonian niche hypervolume.
Fernanda S. Caron, Jānis Lazovskis, David F. R. P. Burslem, Juliano Morimoto   +3 more
wiley   +1 more source

Categorical framework for quantum-resistant zero-trust AI security. [PDF]

Sci Rep
Cherkaoui I, Clarke C, Horgan J, Dey I.
europepmc   +1 more source

Understanding Nurses' Intention to Use Artificial Intelligence Technologies in Their Clinical Practice: A Survey‐Based Configurational Analysis

Journal of Advanced Nursing, Volume 82, Issue 6, Page 6220-6230, June 2026.
ABSTRACT Aims The study focused on nurses' familiarity with, beliefs about, and attitudes towards artificial intelligence, aiming to identify configurations of necessary and sufficient conditions associated with strong intentions to use artificial intelligence‐based health technologies in their clinical practice. Design Cross‐sectional survey conducted
Louis Raymond, Guy Paré, Odette Doyon, Gerit Wagner   +3 more
wiley   +1 more source

Algebraic methods and computational strategies for pseudoinverse-based MR image reconstruction (Pinv-Recon). [PDF]

Sci Rep
Yeung K, Tobler C, Schulte RF, White B, McIntyre A, Serres S, Morris P, Auer D, Gleeson FV, Tyler DJ, Grist JT, Wiesinger F.   +11 more
europepmc   +1 more source

Theoretical and practical tools for validating discrete and real-time systems [PDF]

System validation has been investigated for a long time. Testing is used to find errors inside a system; in contrast, model checking is used to verify whether a given property holds in the system.
Qu, Hongyang
core  

Spatial depth for data in metric spaces

Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 684-711, June 2026.
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley   +1 more source