Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT)
Zhou, F Jacobs, B Norton-Steele, A Han, X Zhou, L Carroll, T Puig, C Chadwick, J Qin, X Lisle, R Marsh, L Byrne, H Harrington, H Lu, X
A simple mean field model of feature learning
Göring, N Mingard, C Nam, Y Louis, A (16 Oct 2025)
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Lyons, T Xu, W (24 Oct 2011)
The adaptive patched cubature filter and its implementation
Lee, W Lyons, T (14 Sep 2015)
Hyperbolic development and inversion of signature
Lyons, T Xu, W (01 Jul 2015)
Dual Field Approach to Correlation Functions in the Heisenberg Xxz Spin Chain
Essler, F Korepin, V (11 Jan 1995)
All-sky Neutrino Point-source Search with IceCube Combined Track and Cascade Data
Abbasi, R Ackermann, M Adams, J Agarwalla, S Aguilar, J Ahlers, M Alameddine, J Ali, S Amin, N Andeen, K Argüelles, C Ashida, Y Athanasiadou, S Axani, S Babu, R Bai, X Baines-Holmes, J Balagopal V., A Barwick, S Bash, S Basu, V Bay, R Beatty, J Becker Tjus, J The Astrophysical Journal volume 995 issue 1 (02 Dec 2025)

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Quasi-resonant collisions in kinetic theory and bi-temperature systems

Thomas Borsoni
(ENPC, France)
Abstract

Some molecules exhibit a peculiar behavior during collisions, called resonant: they exchange separately kinetic and internal energies. If the molecules of a gas undergo only resonant collisions, the equilibrium distribution exhibits two distinct temperatures, a kinetic and an internal one. To account for more realistic scenarios, we consider ‘’quasi’’-resonant collisions, where a very tiny exchange between kinetic and internal energies is allowed. We propose a mathematical framework for the notion of quasi-resonance, which leads to a Boltzmann model where the distribution is known at all times, a two-temperature Maxwellian, and converges towards a one-temperature Maxwellian. With this feature at hand, we derive so-called Landau-Teller equations, allowing us to replace the complicated Boltzmann equation by a simple ODE system of two equations.

A Stochastic Objective-Function-Free Adaptive Regularization Method with Optimal Complexity
Gratton, S Jerad, S Toint, P Open Journal of Mathematical Optimization volume 6 1-24 (20 May 2025)
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