Results 111 to 120 of about 53,856 (206)

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

Some inequalities of Hermite-Hadamard type for m-harmonic-arithmetically convex functions [PDF]

open access: yesScienceAsia, 2015
Bo-Yan Xi, Feng Qi, Tian-Yu Zhang
openaire   +1 more source

Home‐Based Learning Opportunities, Responsive Caregiving and the Development of Preschool‐Aged Children in Low‐ and Middle‐Income Countries of the East Asia and Pacific Region: A Systematic Review

open access: yesChild: Care, Health and Development, Volume 52, Issue 3, May 2026.
ABSTRACT Background Optimal early childhood development predicts lifelong health and well‐being. A child's immediate environment, especially the home, shapes cognitive, physical, language, motor, social and emotional development. Contextually relevant data on the proximal settings that support preschool‐aged children are lacking in low‐ and middle ...
Sally Popplestone   +5 more
wiley   +1 more source

Properties of a Linear Operator Involving Lambert Series and Rabotnov Function

open access: yesInternational Journal of Mathematics and Mathematical Sciences
This work is an attempt to apply Lambert series in the theory of univalent functions. We first consider the Hadamard product of Rabotnov function and Lambert series with coefficients derived from the arithmetic function σn to introduce a normalized ...
Jamal Salah
doaj   +1 more source

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley   +1 more source

Isoperimetric inequalities on slabs with applications to cubes and Gaussian slabs

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 4, Page 1012-1072, April 2026.
Abstract We study isoperimetric inequalities on “slabs”, namely weighted Riemannian manifolds obtained as the product of the uniform measure on a finite length interval with a codimension‐one base. As our two main applications, we consider the case when the base is the flat torus R2/2Z2$\mathbb {R}^2 / 2 \mathbb {Z}^2$ and the standard Gaussian measure
Emanuel Milman
wiley   +1 more source

Machine Learning Classification of AI‐Generated and Human‐Mapped Buildings in OpenStreetMap Using Morphometric Analysis

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT The proliferation of AI‐generated building footprints in OpenStreetMap (OSM) has transformed crowdsourced mapping, yet the geometric characteristics associated with different digitization methods remain poorly understood. This study presents a comprehensive morphometric analysis of more than 9 million building footprints across 15 ...
Abdulkadir Memduhoğlu
wiley   +1 more source

Non‐vanishing of Poincaré series on average

open access: yesMathematika, Volume 72, Issue 2, April 2026.
Abstract We study when Poincaré series for congruence subgroups do not vanish identically. We show that almost all Poincaré series with suitable parameters do not vanish when either the weight k$k$ or the index m$m$ varies in a dyadic interval. Crucially, analyzing the problem ‘on average’ over these weights or indices allows us to prove non‐vanishing ...
Ned Carmichael, Noam Kimmel
wiley   +1 more source

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