Results 101 to 110 of about 1,805 (213)

Combinatorial Image Analysis

open access: yes, 2006
This volume presents the proccedings of the 11th International Workshop on Combinatorial Image Analysis. IWCIA 2006 was the 11th in a series of international workshopfs devoted to combinatorial image analysis.
Eckardt, Ulrich   +4 more
core  

Teacher Perspectives of Student Engagement in Data Practice Instruction: Two Classroom Conditions

open access: yesSchool Science and Mathematics, EarlyView.
ABSTRACT This study examines high school science teachers' perceptions of student engagement in data practices across two instructional contexts: a scaffolded, student‐centered environment using the Science Practices Innovation Notebook (SPIN) and a business‐as‐usual (BAU) teacher‐led investigation.
Erin Peters‐Burton   +4 more
wiley   +1 more source

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

open access: yesThe 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   +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

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Logarithmic series and Hodge integrals in the tautological ring. With an appendix by Don Zagier.

open access: yes, 2000
Let Mg denote the coarse moduli space of non-singular complex algebraic curves of genus g≥ 2. One of the most useful compactifications of Mg is given by the moduli space \overline Mg of Deligne-Mumford stable curves, which was constructed by \it P ...
Pandharipande, R., Faber, C.
core  

Active learning strategies in business and information & communication technology engineering higher education: A scoping review

open access: yesReview of Education, Volume 14, Issue 2, August 2026.
Abstract Active learning (AL) has emerged as a pedagogical response to diverse educational challenges across multiple disciplines. This scoping review maps the terrain of AL implementation patterns, examining AL practices in Business Education, Information and Communication Technology (ICT) Engineering, Mathematics, and Statistics from 2015 until the ...
Dubravka Novkovic   +2 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Courbes de Bézier en géométrie algorithmique : approximation et cohérence topologique

open access: yes, 1998
In this thesis, we propose a method for solving computational geometry problems posed for curve objects (in contrast with "linear" objects : sets of points, segments, polygons...).
Neagu, Manuela
core  

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1811-1827, 25 July 2026.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini   +2 more
wiley   +1 more source

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