Tootfinder

Urgent action UK readers as MAP’s lifesaving clinic in Gaza forced to close under new displacement order
Please call your MP today, the last day of parliament.
Demand that,
they call on Keir Starmer and David Lammy to:
*urge Israel to rescind these latest evacuation orders
*suspend all arms transfers to Israel, including parts for F-35 fighter jets
*take all possible steps to hold all perpetrators accountable.
Medical Aid for Palestinians

MAP’s lifesaving clinic in Gaza forced to suspend services amid Israel’s latest displacement orders - Latest News & Developments - Medical Aid for Palestinians
This morning, the Israeli military issued new forced displacement orders which directly endanger vital humanitarian and primary healthcare sites, including those provided by MAP.

Demand for catastrophe insurance under the path-dependent effects
Liyuan Cui, Wenyuan Li
https://arxiv.org/abs/2508.15355 https://arxiv.org/pdf/2508.15355

Demand for catastrophe insurance under the path-dependent effects
This paper investigates optimal investment and insurance strategies under a mean-variance criterion with path-dependent effects. We use a rough volatility model and a Hawkes process with a power kernel to capture the path dependence of the market. By adding auxiliary state variables, we degenerate a non-Markovian problem to a Markovian problem. Next, an explicit solution is derived for a path-dependent extended Hamilton-Jacobi-Bellman (HJB) equation. Then, we derive the explicit solutions of th…

Revisiting boundary-driven method for transport: Finite-size effects and the role of system-bath coupling
Mariel Kempa, Markus Kraft, Sourav Nandy, Jacek Herbrych, Jiaozi Wang, Jochen Gemmer, Robin Steinigeweg
https://arxiv.org/abs/2507.16528

Revisiting boundary-driven method for transport: Finite-size effects and the role of system-bath coupling
Understanding transport in interacting quantum many-body systems is a central challenge in condensed matter and statistical physics. Numerical studies typically rely on two main approaches: Dynamics of linear-response functions in closed systems and Markovian dynamics governed by master equations for boundary-driven open systems. While the equivalence of their dynamical behavior has been explored in recent studies, a systematic comparison of the transport coefficients obtained from these two cl…

Machine Learning-aided Optimal Control of a noisy qubit
Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli, Elisabetta Paladino, Giuseppe Falci
https://arxiv.org/abs/2507.14085

Machine Learning-aided Optimal Control of a noisy qubit
We apply a graybox machine-learning framework to model and control a qubit undergoing Markovian and non-Markovian dynamics from environmental noise. The approach combines physics-informed equations with a lightweight transformer neural network based on the self-attention mechanism. The model is trained on simulated data and learns an effective operator that predicts observables accurately, even in the presence of memory effects. We benchmark both non-Gaussian random-telegraph noise and Gaussian…

A Bayesian Geoadditive Model for Spatial Disaggregation
Sara Rutten, Thomas Neyens, Elisa Duarte, Christel Faes
https://arxiv.org/abs/2507.16376 https://…

A Bayesian Geoadditive Model for Spatial Disaggregation
We present a novel Bayesian spatial disaggregation model for count data, providing fast and flexible inference at high resolution. First, it incorporates non-linear covariate effects using penalized splines, a flexible approach that is not typically included in existing spatial disaggregation methods. Additionally, it employs a spline-based low-rank kriging approximation for modeling spatial dependencies. The use of Laplace approximation provides computational advantages over traditional Markov…

Learning non-Markovian Dynamical Systems with Signature-based Encoders
Eliott Pradeleix, R\'emy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin
https://arxiv.org/abs/2509.12022

Learning non-Markovian Dynamical Systems with Signature-based Encoders
Neural ordinary differential equations offer an effective framework for modeling dynamical systems by learning a continuous-time vector field. However, they rely on the Markovian assumption - that future states depend only on the current state - which is often untrue in real-world scenarios where the dynamics may depend on the history of past states. This limitation becomes especially evident in settings involving the continuous control of complex systems with delays and memory effects. To capt…

UK government faces legal action over not evacuating critically ill children from #Gaza | Home Office | The Guardian
https://archive.ph/t0uFq

A pedestrian's approach to large deviations in semi-Markov processes with an application to entropy production
Alexander M. Maier, Jonas H. Fritz, Udo Seifert
https://arxiv.org/abs/2509.15077

A pedestrian's approach to large deviations in semi-Markov processes with an application to entropy production
Semi-Markov processes play an important role in the effective description of partially accessible systems in stochastic thermodynamics. They occur, for instance, in coarse-graining procedures such as state lumping and when analyzing waiting times between few visible Markovian events. The finite-time measurement of any coarse-grained observable in a stochastic system depends on the specific realization of the underlying trajectory. Moreover, the fluctuations of such observables are encoded in th…

Stabilizing boundary time crystals through Non-markovian dynamics
Bandita Das, Rahul Ghosh, Victor Mukherjee
https://arxiv.org/abs/2508.09688 https://arxiv…

Stabilizing boundary time crystals through Non-markovian dynamics
We study Boundary time crystals (BTCs) in the presence of non-Markovian dynamics. In contrast to BTCs observed in earlier works in the Markovian regime, we show that non-Markovian dynamics can be highly beneficial for stabilizing BTCs over a wide range of parameter values, even in the presence of intermediate rates of dissipation. We analyze the effect of non-Markovian dynamics on BTCs using quantum Fisher information, order parameter, a measure of non-Markovianity, and a dynamical phase diagra…

More than 343,000 hectares (848,000 acres) of land – the equivalent of nearly half a million football pitches [or a suare with sides 58.6 km long] – have been destroyed this year in Spain, setting a new national record, according to the European Forest Fire Information System (EFFIS)
Wildfires rage across Spain and Portugal as record area of land burned | Climate News | Al Jazeera

Wildfires rage across Spain and Portugal as record area of land burned
Wildfires in Spain and Portugal burn record land and force evacuations as heatwave and drought spur the flames.