Tootfinder

A Pseudo-Hermitian Hybrid Model at Finite Temperature: The Role of the Exceptional Points
Ignacio Fushimi (IFLP-UNLP, Argentina), Marta Reboiro (IFLP-UNLP, Argentina)
https://arxiv.org/abs/2510.08773

A Pseudo-Hermitian Hybrid Model at Finite Temperature: The Role of the Exceptional Points
We study a hybrid system formed by an ensemble of colour nitrogen-vacancy centres in diamond interacting with a superconducting flux-qubit at finite temperature. The presence of impurities in the system is modelled through pseudo-hermitian Hamiltonian, by introducing an asymmetry parameter in the interaction between the superconducting flux qubit and the ensemble of colour nitrogen-vacancy centres in diamond. We construct the exact grand partition function of the system, and from it we derive t…

Average Kernel Sizes -- Computable Sharp Accuracy Bounds for Inverse Problems
Nina M. Gottschling, David Iagaru, Jakob Gawlikowski, Ioannis Sgouralis
https://arxiv.org/abs/2510.10229

Average Kernel Sizes -- Computable Sharp Accuracy Bounds for Inverse Problems
The reconstruction of an unknown quantity from noisy measurements is a mathematical problem relevant in most applied sciences, for example, in medical imaging, radar inverse scattering, or astronomy. This underlying mathematical problem is often an ill-posed (non-linear) reconstruction problem, referred to as an ill-posed inverse problem. To tackle such problems, there exist a myriad of methods to design approximate inverse maps, ranging from optimization-based approaches, such as compressed se…

Flavonoid Fusion: Creating a Knowledge Graph to Unveil the Interplay Between Food and Health
Aryan Singh Dalal, Yinglun Zhang, Duru Do\u{g}an, Atalay Mert \.Ileri, Hande K\"u\c{c}\"uk McGinty
https://arxiv.org/abs/2510.06433

Flavonoid Fusion: Creating a Knowledge Graph to Unveil the Interplay Between Food and Health
The focus on "food as medicine" is gaining traction in the field of health and several studies conducted in the past few years discussed this aspect of food in the literature. However, very little research has been done on representing the relationship between food and health in a standardized, machine-readable format using a semantic web that can help us leverage this knowledge effectively. To address this gap, this study aims to create a knowledge graph to link food and health through the kno…

On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
Pompeu Casanovas (IIIA-CSIC)
https://arxiv.org/abs/2510.07268

On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
This short essay is a reworking of the answers offered by the author at the Debate Session of the AIHUB (CSIC) and EduCaixa Summer School, organized by Marta Garcia-Matos and Lissette Lemus, and coordinated by Albert Sabater (OEIAC, UG), with the participation of Vanina Martinez-Posse (IIIA-CSIC), Eulalia Soler (Eurecat) and Pompeu Casanovas (IIIA-CSIC) on July 4th 2025. Albert Sabater posed three questions: (1) How can regulatory frameworks priori-tise the protection of fundamental rights (pri…

Charged Black-Hole Binary Evolution at Second Post-Newtonian Order
Andrea Placidi, Elisa Grilli, Marta Orselli, Matteo Pegorin, Nicola Bartolo, Pierpaolo Mastrolia
https://arxiv.org/abs/2509.20432

Charged Black-Hole Binary Evolution at Second Post-Newtonian Order
We study the dynamics of electrically charged black-hole binaries and their gravitational-wave emission during the inspiral phase. Within the post-Newtonian framework, we derive the conservative and dissipative dynamics up to second order (2PN), combining Effective Field Theory and classical methods. We compute the NNLO conservative Lagrangian, LO dissipative effects in harmonic and Lorenz gauges, and provide the equations of motion, center-of-mass transformations, and the Lagrangian/Hamiltonia…

Post crisis Strategies: Antifragility Principles as Catalysts for Urban Evolution Towards Sustainability
Joseph Uguet, Nicola Tollin, Jordi Morat\'o
https://arxiv.org/abs/2509.15245

Post crisis Strategies: Antifragility Principles as Catalysts for Urban Evolution Towards Sustainability
Urban crises reveal the true essence of cities: their ability to either withstand disorder or collapse under its pressure. This article explores how antifragility principles can transforms urban disruption into levers for reinforcement and innovation. While resilience seeks to restore a lost balance, antifragility goes further: it pushes cities to improve through shocks. Across a critical analysis of post-crisis strategies and the identification of fifteen fundamental theoretical principles, th…

Computationally and statistically efficient estimation of time-smoothed counterfactual curves
Herbert P. Susmann, Nicholas T. Williams, Richard Liu, Jessica G. Young, Iv\'an D\'iaz
https://arxiv.org/abs/2509.26554

Computationally and statistically efficient estimation of time-smoothed counterfactual curves
Longitudinal causal inference is concerned with defining, identifying, and estimating the effect of a time-varying intervention on a time-varying outcome that is indexed by a follow-up time. In an observational study, Robins's generalized g-formula can identify causal effects induced by a broad class of time-varying interventions. Various methods for estimating the generalized g-formula have been posed for different outcome types, such as a failure event indicator by a specified time (e.g. mort…