Results 121 to 130 of about 201,103 (244)

Model category structures on truncated multicomplexes for complex geometry

Bulletin of the London Mathematical Society, EarlyView.
Abstract To a bicomplex one can associate two natural filtrations, the column and row filtrations, and then two associated spectral sequences. This can be generalized to N$N$‐multicomplexes. We present a family of model category structures on the category of N$N$‐multicomplexes where the weak equivalences are the morphisms inducing a quasi‐isomorphism ...
Joana Cirici, Muriel Livernet, Sarah Whitehouse   +2 more
wiley   +1 more source

Research on group type theory and its functorial semantic models in category logic. [PDF]

PLoS One
Tang JG, Aishan Y, Liu JY, Peng JY.
europepmc   +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

Convergence properties of dynamic mode decomposition for analytic interval maps

Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 179-206, February 2026.
Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji, Julia Slipantschuk, Oscar F. Bandtlow, Wolfram Just   +3 more
wiley   +1 more source

PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]

Protein Sci
Abstract Recent advances in topology‐based modeling have greatly improved molecular prediction tasks, particularly in protein–ligand binding affinity. However, when the focus shifts to predicting protein–protein interactions (PPIs) binding free energy, the question becomes significantly more challenging due to the ineffective use of topological ...
Xu X, Wang C, Wei GW, Chen J.
europepmc   +2 more sources

Improving Mathematics Achievement and Attitude of the Grade 10 Students Using Dynamic Geometry Software (DGS) and Computer Algebra Systems (CAS)

, 2017
Starr Clyde Sebial
openalex   +1 more source

Machine learning predictions from unpredictable chaos. [PDF]

J R Soc Interface
Jiang J, Chen L, Ke L, Dou B, Zhu Y, Shi Y, Qiu H, Zhang BG, Zhou T, Wei GW.   +9 more
europepmc   +1 more source

Dimer models and conformal structures

Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 340-446, February 2026.
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala, Erik Duse, István Prause, Xiao Zhong   +3 more
wiley   +1 more source

The Italian School of Algebraic Geometry and Mathematics Teaching: Methods, Teacher Training, and curricular Reforms in the Early Twentieth Century

, 2010
Livia Maria Giacardi
openalex   +1 more source

A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences. [PDF]

J Chem Inf Model
Wee J, Jiang J.
europepmc   +1 more source