Results 171 to 180 of about 171,155 (269)

Solvability of invariant systems of differential equations on H2$\mathbb {H}^2$ and beyond

open access: yesMathematische Nachrichten, Volume 299, Issue 2, Page 456-479, February 2026.
Abstract We show how the Fourier transform for distributional sections of vector bundles over symmetric spaces of non‐compact type G/K$G/K$ can be used for questions of solvability of systems of invariant differential equations in analogy to Hörmander's proof of the Ehrenpreis–Malgrange theorem.
Martin Olbrich, Guendalina Palmirotta
wiley   +1 more source

A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization

open access: yesMedical Physics, Volume 53, Issue 2, February 2026.
Abstract Background Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a complex, high‐dimensional problem typically solved with inverse planning solutions that are both temporally and computationally expensive. While machine learning techniques have been explored to automate this process, they often supplement rather than ...
Nathan Shaffer   +2 more
wiley   +1 more source

Sampling of non‐Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance images

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 2, Page 1255-1265, February 2026.
Abstract Purpose (a) To design a methodology for drawing random samples of any Ensemble Average Propagator (EAP) (b) to modify the KomaMRI simulator to accommodate them as realistic spin movements to simulate diffusion MRI (dMRI) and (c) to compare these simulations with those based on the Diffusion Tensor (DT) model.
Justino R. Rodríguez‐Galván   +7 more
wiley   +1 more source

The DNA of Calabi–Yau Hypersurfaces

open access: yesFortschritte der Physik, Volume 74, Issue 2, February 2026.
Abstract Genetic Algorithms are implemented for triangulations of four‐dimensional reflexive polytopes, which induce Calabi–Yau threefold hypersurfaces via Batyrev's construction. These algorithms are shown to efficiently optimize physical observables such as axion decay constants or axion–photon couplings in string theory compactifications.
Nate MacFadden   +2 more
wiley   +1 more source

Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 2, Page 567-584, February 2026.
Abstract Animal‐worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, which measure changes in acceleration across planes of movement, are increasingly being used in conjunction with machine learning models to classify animal behaviours across taxa and research questions.
Medha Agarwal   +4 more
wiley   +1 more source

A new method for a priori practical identifiability. [PDF]

open access: yesPLoS One
Thompson P   +3 more
europepmc   +1 more source

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