Results 51 to 60 of about 55,281 (143)

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

open access: yesJournal of Advanced Nursing, EarlyView.
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   +3 more
wiley   +1 more source

Lucid Dreaming Frequency Associated With Grey–White Matter Networks: An Exploratory Multimodal MRI Study

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Lucid dreaming, defined as the experience of becoming aware of dreaming while dreaming, offers a unique window into a state of consciousness characterised by a blending of the sensory vividness of REM sleep with the self‐awareness of wakefulness. While past functional imaging has shed light on the neural activity supporting lucid dreaming, the
Nicola De Pisapia   +4 more
wiley   +1 more source

Change Point Analysis for Functional Data Using Empirical Characteristic Functionals

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth   +2 more
wiley   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta   +2 more
wiley   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

Spatial depth for data in metric spaces

open access: yesScandinavian Journal of Statistics, EarlyView.
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

The Impacts of Problem‐Posing Intervention on the Mathematical Proficiency of Undergraduate Developmental Mathematics Students' Developmental Mathematics

open access: yesSchool Science and Mathematics, EarlyView.
ABSTRACT This study investigates the impact of problem‐posing on the mathematical proficiency and engagement of 56 Developmental Mathematics (DM) students enrolled in a noncredit college mathematics course. Using a quasi‐experimental design, one of two existing classes was selected as the experimental group and received a 5‐week intervention focused on
John Sevier   +2 more
wiley   +1 more source

On computing local monodromy and the numerical local irreducible decomposition

open access: yesTransactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract Similarly to the global case, the local structure of a holomorphic subvariety at a given point is described by its local irreducible decomposition. Geometrically, the key requirement for obtaining a local irreducible decomposition is to compute the local monodromy action of a generic linear projection at the given point, which is always well ...
Parker B. Edwards   +1 more
wiley   +1 more source

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

open access: yesEducational 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   +4 more
wiley   +1 more source

Understanding Multiscale Lithium Transport Dynamics in Composite Si‐C Electrodes: An Asymptotic Framework for GITT Experiments

open access: yesBattery Energy, Volume 5, Issue 3, May 2026.
This study introduces an asymptotic analysis to elucidate the multi‐scale transport mechanisms driving the relaxation dynamics in GITT experiments on composite Si‐C/graphite electrodes. The approach not only enhances physical understanding of coupled lithium transport mechanisms but also establishes a base for redesigning GITT protocols to achieve more
E. Jane, M. Higuera, F. Varas
wiley   +1 more source

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