Results 61 to 70 of about 53,012 (158)

Spatial depth for data in metric spaces

Scandinavian 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

School 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, Anthony Fernandes, Victor Cifarelli   +2 more
wiley   +1 more source

Function Art: Linking Mathematics, Technology, and Visual Arts

School Science and Mathematics, EarlyView.
ABSTRACT This study investigated students' understanding of mathematical functions and strategies to create artwork using GeoGebra. It was framed by the principles of constructionism and examined how students use functions in creating artworks. We gathered data from students' artworks using the Algebra view and the Construction Protocol in the GeoGebra
Guillermo Bautista Jr, Jemarie Malacapo, Florenda Gallos‐Cronberg, Houssam Kasti, Noah Dana‐Picard, Zsolt Lavicza   +5 more
wiley   +1 more source

Navigating the Path to Mathematics Success: Exploring Academic Performance and Exclusionary School Discipline Among Black Students

School Science and Mathematics, EarlyView.
ABSTRACT This study examines the predictive relationships among early mathematics and reading achievement, school discipline, and later mathematics performance for Black students. Using path analysis, we analyze a cohort of 36,668 Black students in Texas public schools from fourth to seventh grade.
Micayla Gooden, Virginia Redwine Johnson, Aminah Crawford, John A. Williams III   +3 more
wiley   +1 more source

(Co‐)Reference All the Way Down: A Unified Theory of (Pro) Nominals in Ordinary English

Theoria, EarlyView.
ABSTRACT This essay joins two themes, both arising from Kripke's inspiring ideas in the theory of reference. The first theme concerns reference in general. The second examines the notion of co‐reference and the role it plays in a unified theory of pronouns for natural language.
Jessica Pepp, Joseph Almog
wiley   +1 more source

In silico modelling of multi‐electrode arrays for enhancing cardiac drug testing on hiPSC‐CM heterogeneous tissues

The Journal of Physiology, EarlyView.
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti, Rolf Krause, Luca F. Pavarino   +2 more
wiley   +1 more source

On computing local monodromy and the numerical local irreducible decomposition

Transactions 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, Jonathan D. Hauenstein   +1 more
wiley   +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

Information retrieval or document retrieval? Terminological confusions and unrealistic goals in information science, exemplified in relation to generative artificial intelligence

Journal of the Association for Information Science and Technology, Volume 77, Issue 5, Page 714-726, May 2026.
Abstract ChatGPT and related technologies have revived an old issue in information science (IS) concerning information retrieval (IR) versus document retrieval. Since 1950, the term IR has primarily been used as a misnomer for document retrieval. This problematic terminology reflects a desire to go beyond documents and provide, in response to user ...
Birger Hjørland
wiley   +1 more source

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

Battery 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