Results 11 to 20 of about 43 (43)

A new reference for changes in X‐ray scattering from water due to temperature changes at ambient conditions

Journal of Synchrotron Radiation, EarlyView.
A newly measured reference dataset for the temperature differential scattering signal of water, acquired at the DanMAX beamline of the MAX IV synchrotron, is presented.The X‐ray solution scattering from water S(Q)H2O depends on temperature and density, a phenomenon that is utilized in, for example, temperature‐resolved and ultrafast time‐resolved X‐ray
Lise G. Hanson, Thomas Veile, Jonathan F. Schouenborg, Victor M. Nielsen, Mads R. V. Jørgensen, Frederik H. Gjørup, Cathrine Frandsen, Kristoffer Haldrup   +7 more
wiley   +1 more source

The effect of nearby listings on house sale prices in Sydney: A spatio‐temporal regularization approach

Real Estate Economics, EarlyView.
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley   +1 more source

Examining associations between foundational and complex mathematics skills in people with Down syndrome and typically developing children

British Journal of Developmental Psychology, EarlyView.
Abstract Acquiring mathematical competence is essential to independent living. In this study, we investigated the mathematics profile in young people with Down syndrome (DS), and the relations between foundational and more complex mathematics skills.
Su Morris, Emily K. Farran, Katie A. Gilligan‐Lee   +2 more
wiley   +1 more source

Neural Local Inter‐reflection Modeling for Garment Fold Rendering

Computer Graphics Forum, EarlyView.
Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son, Nuri Ryu, Gyoonseo Kim, Joo Ho Lee, Seungyong Lee   +4 more
wiley   +1 more source

Progressively Projected Newton's Method

Computer Graphics Forum, EarlyView.
Abstract Newton's Method is widely used to find the solution of complex non‐linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior to assembly—a strategy known as Projected Newton (PN)—but this perturbation often hinders convergence.
J. A. Fernández‐Fernández, F. Löschner, J. Bender   +2 more
wiley   +1 more source

Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy

Computer Graphics Forum, EarlyView.
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley   +1 more source

In Vivo Imaging With a Low‐Cost MRI Scanner and Cloud Data Processing in Low‐Resource Settings

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
This study presented the system evolution at MUST: (a) Scanner after the initial assembly in 2023. (b) First reconstructed image (bell pepper). Front (c), rear (d), and global (e) views of the MUST scanner in the 2025 configuration, highlighting the improved electronics setup, RF coils, and mechanical integration.
Teresa Guallart‐Naval, Robert Asiimwe, Patricia Tusiime, Mary A. Nassejje, Leo Kinyera, Lemi Robin, Maureen Nayebare, Luiz G. C. Santos, Marina Fernández‐García, Lucas Swistunow, José M. Algarín, John Stairs, Michael Hansen, Ronald Amodoi, Andrew Webb, Joshua Harper, Steven J. Schiff, Johnes Obungoloch, Joseba Alonso   +18 more
wiley   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
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

Electromagnetic Quasinormal Modes: A Foundational Framework for Describing Fano Resonances of Extinction Spectra

Nanophotonics, Volume 15, Issue 9, 13 May 2026.
An ab initio electromagnetic framework links quasinormal modes to Fano resonances in extinction spectra. Analytical expressions for the Fano asymmetry and intensity parameters are derived from overlap integrals, enabling rapid spectral reconstruction and physical interpretation.
Mikhail Bochkarev, Nikolay Solodovchenko, Kirill Samusev, Mikhail Limonov, Tong Wu, Philippe Lalanne   +5 more
wiley   +1 more source